{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T04:18:16Z","timestamp":1787890696208,"version":"build-2784847793"},"reference-count":140,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T00:00:00Z","timestamp":1787616000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["RS-2026-25477916"],"award-info":[{"award-number":["RS-2026-25477916"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"award":["RS-2026-25477916"],"award-info":[{"award-number":["RS-2026-25477916"]}],"id":[{"id":"https:\/\/ror.org\/013aysd81","id-type":"ROR","asserted-by":"publisher"}]},{"name":"AHCHOR program(Global Unviverstiy program) (Global Joint Research) through the Gyeong-buk ANCHOR CENTER","award":["2026-ANCHOR-15-110"],"award-info":[{"award-number":["2026-ANCHOR-15-110"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Bioengineering"],"abstract":"<jats:p>Traditional assisted reproductive technologies (ART) remain constrained by subjective, descriptive diagnostics and empirical, one-size-fits-all preservation strategies that expose gametes to nonphysiological stressors, risking disruptions to cellular homeostasis and epigenetic programming. This review explores the technological convergence of artificial intelligence (AI), reproductive organ-on-chip bioengineering, multiomics, and translational cryobiology and proposes an integrated, systems-level paradigm for next-generation precision reproductive medicine. By evaluating the clinical readiness, mechanistic insights, and translational trajectories of these emerging platforms, we show how AI architectures transition fertility diagnostics from descriptive metrics to predictive computational phenotyping by integrating high-dimensional imaging, multiomics, and sperm functional datasets. Concurrently, microphysiological platforms\u2014such as testis-, ovary-, and endometrium-on-a-chip systems\u2014recapitulate complex multicellular architecture and endocrine dynamics. When embedded with miniaturized biosensors and machine learning loops, these \u201csmart\u201d closed-loop microfluidic devices enable real-time biological monitoring and adaptive culture regulation. Furthermore, integrating AI analytics into cryobiology optimizes nonlinear thermodynamic variables, shifting the field from basic postthaw morphologic survival toward safeguarding macromolecular fidelity, mitochondrial competence, and long-term epigenetic safety across lifespans and generations. Ultimately, this computational\u2013bioengineering roadmap transitions reproductive healthcare from a reactive discipline into a predictive, personalized, and adaptive framework. Overcoming persistent challenges in biological complexity, data interoperability, and multicenter clinical validation will lead to the establishment of safe, scalable, and ethically governed healthcare infrastructures capable of protecting developmental integrity.<\/jats:p>","DOI":"10.3390\/bioengineering13090976","type":"journal-article","created":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T15:01:07Z","timestamp":1787670067000},"page":"976","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Artificial Intelligence-Driven Reproductive Bioengineering: Integrating Fertility Diagnostics, Organ-on-Chip Systems, Cryobiology and Epigenetic Safety for Precision Reproductive Medicine"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0516-4023","authenticated-orcid":false,"given":"Mohamad","family":"Warda","sequence":"first","affiliation":[{"name":"Department of Physiology, Faculty of Veterinary Medicine, Atat\u00fcrk University, 25240 Erzurum, T\u00fcrkiye"},{"name":"Department of Biochemistry and Molecular Biology, Faculty of Veterinary Medicine, Cairo University, Giza 12211, Egypt"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali Do\u011fan","family":"\u00d6m\u00fcr","sequence":"additional","affiliation":[{"name":"Department of Reproduction and Artificial Insemination, Faculty of Veterinary Medicine, Atat\u00fcrk University, 25240 Erzurum, T\u00fcrkiye"},{"name":"Department of Biochemistry, Faculty of Veterinary Medicine, Atat\u00fcrk University, 25240 Erzurum, T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4283-0809","authenticated-orcid":false,"given":"Hae-Jin","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Foodcare YAKSUN, Daegu Haany University, Gyeongsan-si 38610, Republic of Korea"},{"name":"Functional Food Research Institute, Industry-University Cooperation Foundation, Daegu Haany University, Gyeongsan-si 38610, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5234-2537","authenticated-orcid":false,"given":"Jaehoon","family":"Bae","sequence":"additional","affiliation":[{"name":"Functional Food Research Institute, Industry-University Cooperation Foundation, Daegu Haany University, Gyeongsan-si 38610, Republic of Korea"},{"name":"Department of Food Industry, Daegu Haany University, Gyeongsan-si 38610, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6596-7907","authenticated-orcid":false,"given":"A. M.","family":"Abd El-Aty","sequence":"additional","affiliation":[{"name":"Department of Pharmacology, Faculty of Veterinary Medicine, Cairo University, Giza 12211, Egypt"},{"name":"Department of Medical Pharmacology, Faculty of Medicine, Atat\u00fcrk University, 25240 Erzurum, T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,8,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/S0140-6736(20)32667-2","article-title":"Male Infertility","volume":"397","author":"Agarwal","year":"2021","journal-title":"Lancet"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1842","DOI":"10.1016\/S0140-6736(18)30312-X","article-title":"Origins of Lifetime Health around the Time of Conception: Causes and Consequences","volume":"391","author":"Fleming","year":"2018","journal-title":"Lancet"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1093\/humupd\/dmi022","article-title":"Assisted Reproduction: The Epigenetic Perspective","volume":"11","author":"Horsthemke","year":"2005","journal-title":"Hum. Reprod. Update"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1016\/j.mcpdig.2024.08.007","article-title":"Artificial Intelligence, Clinical Decision Support Algorithms, Mathematical Models, Calculators Applications in Infertility: Systematic Review and Hands-On Digital Applications","volume":"2","author":"Bulletti","year":"2024","journal-title":"Mayo Clin. Proc. Digit. Health"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1038\/s41746-024-01006-x","article-title":"The Prospect of Artificial Intelligence to Personalize Assisted Reproductive Technology","volume":"7","author":"Hanassab","year":"2024","journal-title":"npj Digit. Med."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"863","DOI":"10.1007\/s43032-023-01405-7","article-title":"Clinical Utility of Sperm Function Tests in Predicting Male Fertility: A Systematic Review","volume":"31","author":"Sanyal","year":"2024","journal-title":"Reprod. Sci."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"117850","DOI":"10.1016\/j.cca.2024.117850","article-title":"Metabolomics of Male Infertility","volume":"556","author":"Gaffar","year":"2024","journal-title":"Clin. Chim. Acta"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Zhang, R., Du, H., Bai, T., Wang, J., Shi, Y., Shao, X., Huang, Z., and Zhang, J. (2026). Ovarian Tissue Quality Assessment and Fertility Preservation Strategies Enabled by Multi-Omics and Artificial Intelligence: Current Applications and Clinical Perspectives. Front. Physiol., 17.","DOI":"10.3389\/fphys.2026.1789252"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1186\/s12951-024-02651-w","article-title":"Organ-on-a-Chip: Future of Female Reproductive Pathophysiological Models","volume":"22","author":"Deng","year":"2024","journal-title":"J. Nanobiotechnol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1038\/s41576-022-00466-9","article-title":"Human Organs-on-Chips for Disease Modelling, Drug Development and Personalized Medicine","volume":"23","author":"Ingber","year":"2022","journal-title":"Nat. Rev. Genet."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Richards, H.A., Eastman, A.J., Miller, D.R., and Cliffel, D.E. (2024). Reproductive Organ On-a-Chip Technologies and Assessments of the Fetal-Maternal Interface. Front. Lab Chip Technol., 3.","DOI":"10.3389\/frlct.2024.1449303"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1089\/bio.2024.29132.editorial","article-title":"Cryopreservation and Biobanking of Gametes, Embryos, and Reproductive Tissues","volume":"22","author":"Gao","year":"2024","journal-title":"Biopreserv. Biobank."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"e18828","DOI":"10.1016\/j.heliyon.2023.e18828","article-title":"Nanowarming Improves Survival of Vitrified Ovarian Tissue and Follicular Development in a Sheep Model","volume":"9","author":"Karimi","year":"2023","journal-title":"Heliyon"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"7515","DOI":"10.1038\/s41467-022-34549-2","article-title":"Microencapsulation and Nanowarming Enables Vitrification Cryopreservation of Mouse Preantral Follicles","volume":"13","author":"Tian","year":"2022","journal-title":"Nat. Commun."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.aju.2017.11.002","article-title":"Role of Sperm DNA Fragmentation in Male Factor Infertility: A Systematic Review","volume":"16","author":"Cho","year":"2018","journal-title":"Arab J. Urol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1007\/978-3-030-21664-1_9","article-title":"Cryopreservation of Sperm: Effects on Chromatin and Strategies to Prevent Them","volume":"Volume 1166","author":"Baldi","year":"2019","journal-title":"Genetic Damage in Human Spermatozoa"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.theriogenology.2015.09.047","article-title":"Sperm Cryopreservation Update: Cryodamage, Markers, and Factors Affecting the Sperm Freezability in Pigs","volume":"85","author":"Yeste","year":"2016","journal-title":"Theriogenology"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Antonouli, S., Di Nisio, V., Messini, C., Daponte, A., Rajender, S., and Anifandis, G. (2023). A Comprehensive Review and Update on Human Fertility Cryopreservation Methods and Tools. Front. Vet. Sci., 10.","DOI":"10.3389\/fvets.2023.1151254"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"e55301","DOI":"10.7554\/eLife.55301","article-title":"Performance of a Deep Learning Based Neural Network in the Selection of Human Blastocysts for Implantation","volume":"9","author":"Bormann","year":"2020","journal-title":"eLife"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"2953","DOI":"10.1007\/s10815-024-03287-3","article-title":"Cryopreservation, Cryoprotectants, and Potential Risk of Epigenetic Alteration","volume":"41","author":"Sciorio","year":"2024","journal-title":"J. Assist. Reprod. Genet."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.tjog.2024.10.001","article-title":"Artificial Intelligence and Assisted Reproductive Technology: A Comprehensive Systematic Review","volume":"64","author":"Wu","year":"2025","journal-title":"Taiwan. J. Obstet. Gynecol."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Pan, M., Chen, H., Deng, K., and Xiao, K. (2025). Organ-on-a-Chip Models of the Female Reproductive System: Current Progress and Future Perspectives. Micromachines, 16.","DOI":"10.3390\/mi16101125"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Truong, N., Zahra, A., Lintao, R.C.V., Chauhan, R., Bento, G.F., Vidal, M., Kim, S., Lam, P.Y., Conrads, T., and Conrads, K. (2025). Modeling Reproductive and Pregnancy-Associated Tissues Using Organ-on-Chip Platforms: Challenges, Limitations, and the High Throughput Data Frontier. Front. Bioeng. Biotechnol., 13.","DOI":"10.3389\/fbioe.2025.1568389"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Voros, C., Varthaliti, A., Mavrogianni, D., Athanasiou, D., Athanasiou, A., Athanasiou, A., Papahliou, A.-M., Zografos, C.G., Topalis, V., and Kondili, P. (2025). Epigenetic Alterations in Ovarian Function and Their Impact on Assisted Reproductive Technologies: A Systematic Review. Biomedicines, 13.","DOI":"10.3390\/biomedicines13030730"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"105281","DOI":"10.1016\/j.rbmo.2025.105281","article-title":"Digital Twins in Fertility, Assisted Reproductive Technology and Pregnancy: A Systematic Review","volume":"52","author":"Moawad","year":"2026","journal-title":"Reprod. Biomed. Online"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"105589","DOI":"10.1016\/j.cryobiol.2026.105589","article-title":"The Application of Artificial Intelligence in Cryopreservation: Technological Advances and Future Challenges","volume":"122","author":"Lei","year":"2026","journal-title":"Cryobiology"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.rbmo.2022.03.027","article-title":"WHO 2021 and 2030 Reference Values for Semen Assessment: Three Challenges for Andrology in the Journey Ahead","volume":"45","author":"Vasconcelos","year":"2022","journal-title":"Reprod. Biomed. Online"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"727","DOI":"10.1530\/REP-11-0450","article-title":"The Sperm Epigenome and Potential Implications for the Developing Embryo","volume":"143","author":"Jenkins","year":"2012","journal-title":"Reproduction"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"3114","DOI":"10.1038\/s41591-024-03166-5","article-title":"Deep Learning versus Manual Morphology-Based Embryo Selection in IVF: A Randomized, Double-Blind Noninferiority Trial","volume":"30","author":"Illingworth","year":"2024","journal-title":"Nat. Med."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"23","DOI":"10.3390\/uro4020003","article-title":"The Role of Artificial Intelligence in Male Infertility: Evaluation and Treatment: A Narrative Review","volume":"4","author":"Venishetty","year":"2024","journal-title":"Uro"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep Learning","volume":"521","author":"LeCun","year":"2015","journal-title":"Nature"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1077","DOI":"10.1093\/humrep\/deaf066","article-title":"An Interpretable Artificial Intelligence Approach to Differentiate between Blastocysts with Similar or Same Morphological Grades","volume":"40","author":"Liu","year":"2025","journal-title":"Hum. Reprod."},{"key":"ref_33","first-page":"e81568","article-title":"Artificial Intelligence in Assisted Reproductive Technology: A New Era in Fertility Treatment","volume":"17","author":"Orovou","year":"2025","journal-title":"Cureus"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Mottola, F., Palmieri, I., Carannante, M., Barretta, A., Roychoudhury, S., and Rocco, L. (2024). Oxidative Stress Biomarkers in Male Infertility: Established Methodologies and Future Perspectives. Genes, 15.","DOI":"10.3390\/genes15050539"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"e12547","DOI":"10.1002\/rmb2.12547","article-title":"Sperm DNA Fragmentation Testing in Clinical Management of Reproductive Medicine","volume":"22","author":"Adler","year":"2023","journal-title":"Reprod. Med. Biol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1093\/humrep\/deag005","article-title":"Refined Trajectory Smoothing and Deep Learning Classification of Human Sperm Motility","volume":"41","author":"Shahali","year":"2026","journal-title":"Hum. Reprod."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1038\/s41746-019-0096-y","article-title":"Deep Learning Enables Robust Assessment and Selection of Human Blastocysts after in Vitro Fertilization","volume":"2","author":"Khosravi","year":"2019","journal-title":"npj Digit. Med."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1038\/s41585-023-00723-4","article-title":"Human in Vitro Spermatogenesis as a Regenerative Therapy\u2014Where Do We Stand?","volume":"20","author":"Robinson","year":"2023","journal-title":"Nat. Rev. Urol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1038\/nature09850","article-title":"In Vitro Production of Functional Sperm in Cultured Neonatal Mouse Testes","volume":"471","author":"Sato","year":"2011","journal-title":"Nature"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"935","DOI":"10.21037\/tau.2016.10.03","article-title":"Clinical Utility of Sperm DNA Fragmentation Testing: Practice Recommendations Based on Clinical Scenarios","volume":"5","author":"Agarwal","year":"2016","journal-title":"Transl. Androl. Urol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"e13874","DOI":"10.1111\/and.13874","article-title":"Sperm DNA Fragmentation Testing: Summary Evidence and Clinical Practice Recommendations","volume":"53","author":"Esteves","year":"2021","journal-title":"Andrologia"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Ribas-Maynou, J., and Benet, J. (2019). Single and Double Strand Sperm DNA Damage: Different Reproductive Effects on Male Fertility. Genes, 10.","DOI":"10.3390\/genes10020105"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"e93803","DOI":"10.2196\/93803","article-title":"Integrating Sperm Microscopy, Environmental Exposures, and Lifestyle Factors for Male Fertility Analysis: Protocol for the Nippon Semen and Environmental Exposure Database (N-SEED) Cross-Sectional Study","volume":"15","author":"Oguri","year":"2026","journal-title":"JMIR Res. Protoc."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Tiptiri-Kourpeti, A., Asimakopoulos, B., and Nikolettos, N. (2025). A Narrative Review on the Sperm Selection Methods in Assisted Reproductive Technology: Out with the New, the Old Is Better?. J. Clin. Med., 14.","DOI":"10.3390\/jcm14041066"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Bald\u00e1n, F.J., Garc\u00eda-Gil, D., and Fernandez-Basso, C. (2025). Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems. Computation, 13.","DOI":"10.3390\/computation13060132"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1186\/s12958-025-01479-9","article-title":"Automated AI for Real-Time Sperm Selection in ICSI: Reducing Variability and Studying the Role of Sperm in Embryo Development","volume":"23","author":"Viloria","year":"2025","journal-title":"Reprod. Biol. Endocrinol."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Cui, J. (2025). Exploration of the Clinical Application of Multimodal Artificial Intelligence in Sperm Screening: Identifying Opportunities and Addressing Challenges. Preprints.","DOI":"10.20944\/preprints202503.1877.v1"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"107636","DOI":"10.1016\/j.anireprosci.2024.107636","article-title":"Biomarker-Based High-Throughput Sperm Phenotyping: Andrology in the Age of Precision Medicine and Agriculture","volume":"271","author":"Tirpak","year":"2024","journal-title":"Anim. Reprod. Sci."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1038\/s41746-024-01073-0","article-title":"Digital Twins for Health: A Scoping Review","volume":"7","author":"Katsoulakis","year":"2024","journal-title":"npj Digit. Med."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/s11934-024-01239-z","article-title":"Artificial Intelligence for Clinical Management of Male Infertility, a Scoping Review","volume":"26","author":"Naik","year":"2025","journal-title":"Curr. Urol. Rep."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1186\/s40001-025-02479-6","article-title":"Artificial Intelligence (AI) Approaches to Male Infertility in IVF: A Mapping Review","volume":"30","author":"Qaderi","year":"2025","journal-title":"Eur. J. Med. Res."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1186\/s13073-025-01435-7","article-title":"Digital Twins as Global Learning Health and Disease Models for Preventive and Personalized Medicine","volume":"17","author":"Li","year":"2025","journal-title":"Genome Med."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1186\/s40246-025-00902-x","article-title":"Translating Multi-Omics into Healthcare: Requisites for Scalable and Equitable Implementation","volume":"20","author":"Tumiene","year":"2026","journal-title":"Hum. Genom."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Freour, T., Anichini, G., Gaillard, M., and Mouchere, H. (2026). Explainability of Artificial Intelligence (AI) Tools in Assisted Reproductive Technologies (ARTs): Promise, Clinical Reality, and Conceptual Limits. Hum. Reprod., deag102.","DOI":"10.1093\/humrep\/deag102"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Kritsotaki, N., Diamantidis, D., Koutlaki, N., Machairiotis, N., and Tsikouras, P. (2026). Explainable Artificial Intelligence in Assisted Reproductive Technology: Bridging Prediction and Clinical Judgment. Biomedicines, 14.","DOI":"10.3390\/biomedicines14051024"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"RAF260050","DOI":"10.1530\/RAF-26-0050","article-title":"Explainable AI Consensus for Grading Human Blastocysts and Blastoids","volume":"7","author":"Shim","year":"2026","journal-title":"Reprod. Fertil."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"\u0160kudar, S. (2026). Explainable AI in Male Infertility: A Clinical Roadmap for Shared Decision-Making. Andrology.","DOI":"10.1111\/andr.70334"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Kakulavarapu, R., Delbarre, E., Sharma, A., Jahanlu, D., Riegler, M.A., Haugen, T.B., Iliceto, M., and Stensen, M.H. (2026). Investigating Discrepancies in Accuracy, Agreement and Interpretability for Single-Frame Embryo Classification Tasks Conducted by Embryologists and Deep Learning Models. Front. Reprod. Health, 8.","DOI":"10.3389\/frph.2026.1778326"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"104743","DOI":"10.1016\/j.rbmo.2024.104743","article-title":"An Explainable Ultrasound-Based Machine Learning Model for Predicting Reproductive Outcomes after Frozen Embryo Transfer","volume":"50","author":"Xu","year":"2025","journal-title":"Reprod. Biomed. Online"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"7390","DOI":"10.1038\/s41467-024-51136-9","article-title":"Visual Interpretability of Image-Based Classification Models by Generative Latent Space Disentanglement Applied to in Vitro Fertilization","volume":"15","author":"Rotem","year":"2024","journal-title":"Nat. Commun."},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Webb, A.N.S., Whittaker, A., Koplin, J.J., Volks, C., Mills, C., and Johnston, M. (2026). Two Sides of the Same Algorithm: A Qualitative Study of ART Professionals\u2019 and Patients\u2019 Views on the Use of Machine Learning for Embryo Assessment and Selection. J. Assist. Reprod. Genet.","DOI":"10.1007\/s10815-026-03932-z"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"2429","DOI":"10.1093\/humrep\/deab168","article-title":"Artificial Intelligence in the Fertility Clinic: Status, Pitfalls and Possibilities","volume":"36","author":"Riegler","year":"2021","journal-title":"Hum. Reprod."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1186\/s13040-024-00384-y","article-title":"Processing Imbalanced Medical Data at the Data Level with Assisted-Reproduction Data as an Example","volume":"17","author":"Zhu","year":"2024","journal-title":"BioData Min."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"deaf097.004","DOI":"10.1093\/humrep\/deaf097.004","article-title":"O-004 Multi-Center, External Validation of a Novel Artificial Intelligence (AI) Model That Predicts Blastocyst PGT-A Results from Mature Oocytes","volume":"40","author":"Mercuri","year":"2025","journal-title":"Hum. Reprod."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1038\/s41573-020-0079-3","article-title":"Organs-on-Chips: Into the next Decade","volume":"20","author":"Low","year":"2021","journal-title":"Nat. Rev. Drug Discov."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1449","DOI":"10.1093\/humrep\/dead085","article-title":"Human Organoid Systems in Modeling Reproductive Tissue Development, Function, and Disease","volume":"38","author":"Haider","year":"2023","journal-title":"Hum. Reprod."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1186\/s13287-024-04122-3","article-title":"Research Advances in the Construction of Stem Cell-Derived Ovarian Organoids","volume":"15","author":"Zhang","year":"2024","journal-title":"Stem Cell Res. Ther."},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Kaltsas, A., Kyrgiafini, M.-A., Markou, E., Koumenis, A., Mamuris, Z., Dimitriadis, F., Zachariou, A., Chrisofos, M., and Sofikitis, N. (2025). Artificial Gametogenesis and In Vitro Spermatogenesis: Emerging Strategies for the Treatment of Male Infertility. Int. J. Mol. Sci., 26.","DOI":"10.3390\/ijms26157383"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"21472","DOI":"10.1038\/srep21472","article-title":"Long-Term Ex Vivo Maintenance of Testis Tissues Producing Fertile Sperm in a Microfluidic Device","volume":"6","author":"Komeya","year":"2016","journal-title":"Sci. Rep."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"101320","DOI":"10.1016\/j.mam.2024.101320","article-title":"Advances in Human In Vitro Spermatogenesis: A Review","volume":"100","author":"Nguyen","year":"2024","journal-title":"Mol. Asp. Med."},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Luaces, J.P., Toro-Urrego, N., Otero-Losada, M., and Capani, F. (2023). What Do We Know about Blood-Testis Barrier? Current Understanding of Its Structure and Physiology. Front. Cell Dev. Biol., 11.","DOI":"10.3389\/fcell.2023.1114769"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1039\/D4LC00780H","article-title":"Development and Evaluation of a Microfluidic Human Testicular Tissue Chip: A Novel in Vitro Platform for Reproductive Biology and Pharmacology Studies","volume":"25","author":"Shen","year":"2025","journal-title":"Lab Chip"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"828","DOI":"10.1016\/j.fertnstert.2024.07.010","article-title":"Male Fertility Restoration: In Vivo and in Vitro Stem Cell\u2013Based Strategies Using Cryopreserved Testis Tissue: A Scoping Review","volume":"122","author":"Jensen","year":"2024","journal-title":"Fertil. Steril."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1016\/j.fertnstert.2025.06.022","article-title":"The Use of Testicular Organoids in Advancing Future Treatments for Male Factor Infertility","volume":"124","author":"Stukenborg","year":"2025","journal-title":"Fertil. Steril."},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Liu, S., Wu, J., Zhao, X., Yu, M., Taniguchi, M., Bao, H., and Kang, K. (2024). Recent Progress of Induced Spermatogenesis In Vitro. Int. J. Mol. Sci., 25.","DOI":"10.3390\/ijms25158524"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1210\/er.2014-1101","article-title":"The Mammalian Blood-Testis Barrier: Its Biology and Regulation","volume":"36","author":"Mruk","year":"2015","journal-title":"Endocr. Rev."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"573","DOI":"10.3390\/endocrines4030041","article-title":"Hormones and Signaling Pathways Involved in the Stimulation of Leydig Cell Steroidogenesis","volume":"4","author":"Pierre","year":"2023","journal-title":"Endocrines"},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"035004","DOI":"10.1088\/1758-5090\/ac6126","article-title":"Testis on a Chip\u2014a Microfluidic Three-Dimensional Culture System for the Development of Spermatogenesis in-Vitro","volume":"14","author":"AbuMadighem","year":"2022","journal-title":"Biofabrication"},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Baptista, L.S., Porrini, C., Kronemberger, G.S., Kelly, D.J., and Perrault, C.M. (2022). 3D Organ-on-a-Chip: The Convergence of Microphysiological Systems and Organoids. Front. Cell Dev. Biol., 10.","DOI":"10.3389\/fcell.2022.1043117"},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Danku, A.E., Dulf, E.-H., Braicu, C., Jurj, A., and Berindan-Neagoe, I. (2022). Organ-On-A-Chip: A Survey of Technical Results and Problems. Front. Bioeng. Biotechnol., 10.","DOI":"10.3389\/fbioe.2022.840674"},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"Kanbar, M., De Michele, F., Poels, J., Van Loo, S., Giudice, M.G., Gilet, T., and Wyns, C. (2022). Microfluidic and Static Organotypic Culture Systems to Support Ex Vivo Spermatogenesis from Prepubertal Porcine Testicular Tissue: A Comparative Study. Front. Physiol., 13.","DOI":"10.3389\/fphys.2022.884122"},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Cham, T.-C., Ibtisham, F., Fayaz, M.A., and Honaramooz, A. (2021). Generation of a Highly Biomimetic Organoid, Including Vasculature, Resembling the Native Immature Testis Tissue. Cells, 10.","DOI":"10.3390\/cells10071696"},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Shuchat, S., Yossifon, G., and Huleihel, M. (2022). Perfusion in Organ-on-Chip Models and Its Applicability to the Replication of Spermatogenesis In Vitro. Int. J. Mol. Sci., 23.","DOI":"10.3390\/ijms23105402"},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"100023","DOI":"10.1016\/j.ooc.2022.100023","article-title":"Testis-on-Chip Platform to Study Ex Vivo Primate Spermatogenesis and Endocrine Dynamics","volume":"4","author":"Sharma","year":"2022","journal-title":"Organs-on-a-Chip"},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1111\/j.1600-065X.2006.00438.x","article-title":"The Testis in Immune Privilege","volume":"213","author":"Fijak","year":"2006","journal-title":"Immunol. Rev."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"1494","DOI":"10.1152\/japplphysiol.00087.2024","article-title":"Microphysiological Systems to Advance Human Pathophysiology and Translational Medicine","volume":"137","author":"Harriot","year":"2024","journal-title":"J. Appl. Physiol."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1038\/s44222-024-00207-z","article-title":"Integrating Organoids and Organ-on-a-Chip Devices","volume":"2","author":"Zhao","year":"2024","journal-title":"Nat. Rev. Bioeng."},{"key":"ref_88","doi-asserted-by":"crossref","unstructured":"Morais, A.S., Mendes, M., Cordeiro, M.A., Sousa, J.J., Pais, A.C., Mih\u0103il\u0103, S.M., and Vitorino, C. (2024). Organ-on-a-Chip: Ubi Sumus? Fundamentals and Design Aspects. Pharmaceutics, 16.","DOI":"10.3390\/pharmaceutics16050615"},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"102842","DOI":"10.1016\/j.sbi.2024.102842","article-title":"Artificial Intelligence for High Content Imaging in Drug Discovery","volume":"87","author":"Spjuth","year":"2024","journal-title":"Curr. Opin. Struct. Biol."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1038\/s44222-024-00180-7","article-title":"Bioelectronic Interfaces of Organic Electrochemical Transistors","volume":"2","author":"Saleh","year":"2024","journal-title":"Nat. Rev. Bioeng."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"e202300560","DOI":"10.1002\/cbic.202300560","article-title":"Integrated Electrochemical and Optical Biosensing in Organs-on-Chip","volume":"25","author":"Tawade","year":"2024","journal-title":"ChemBioChem"},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/j.trechm.2019.02.007","article-title":"Next-Generation Experimentation with Self-Driving Laboratories","volume":"1","author":"Roch","year":"2019","journal-title":"Trends Chem."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"15459","DOI":"10.1038\/s41598-017-15799-3","article-title":"Pumpless Microfluidic System Driven by Hydrostatic Pressure Induces and Maintains Mouse Spermatogenesis in Vitro","volume":"7","author":"Komeya","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"1676","DOI":"10.1007\/s10439-017-1823-7","article-title":"Microfluidic Encapsulation of Ovarian Follicles for 3D Culture","volume":"45","author":"He","year":"2017","journal-title":"Ann. Biomed. Eng."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"14584","DOI":"10.1038\/ncomms14584","article-title":"A Microfluidic Culture Model of the Human Reproductive Tract and 28-Day Menstrual Cycle","volume":"8","author":"Xiao","year":"2017","journal-title":"Nat. Commun."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"1758","DOI":"10.1007\/s10439-017-1797-5","article-title":"Compartmentalized Culture of Perivascular Stroma and Endothelial Cells in a Microfluidic Model of the Human Endometrium","volume":"45","author":"Gnecco","year":"2017","journal-title":"Ann. Biomed. Eng."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"3065","DOI":"10.1039\/C6LC00259E","article-title":"A Microphysiological Model of the Human Placental Barrier","volume":"16","author":"Blundell","year":"2016","journal-title":"Lab Chip"},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"1046","DOI":"10.3109\/14767058.2015.1038518","article-title":"Placenta-on-a-Chip: A Novel Platform to Study the Biology of the Human Placenta","volume":"29","author":"Lee","year":"2016","journal-title":"J. Matern. Fetal Neonatal Med."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1038\/nbt.2989","article-title":"Microfluidic Organs-on-Chips","volume":"32","author":"Bhatia","year":"2014","journal-title":"Nat. Biotechnol."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"4530","DOI":"10.1038\/s41598-018-22749-0","article-title":"Interconnected Microphysiological Systems for Quantitative Biology and Pharmacology Studies","volume":"8","author":"Edington","year":"2018","journal-title":"Sci. Rep."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"0963689721999617","DOI":"10.1177\/0963689721999617","article-title":"Cryopreservation: An Overview of Principles and Cell-Specific Considerations","volume":"30","author":"Whaley","year":"2021","journal-title":"Cell Transplant."},{"key":"ref_102","doi-asserted-by":"crossref","unstructured":"Sciorio, R., Manna, C., Fauque, P., and Rinaudo, P. (2023). Can Cryopreservation in Assisted Reproductive Technology (ART) Induce Epigenetic Changes to Gametes and Embryos?. J. Clin. Med., 12.","DOI":"10.3390\/jcm12134444"},{"key":"ref_103","doi-asserted-by":"crossref","unstructured":"Trapphoff, T., and Dieterle, S. (2023). Cryopreservation of Ovarian and Testicular Tissue and the Influence on Epigenetic Pattern. Int. J. Mol. Sci., 24.","DOI":"10.20944\/preprints202306.0515.v1"},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"185","DOI":"10.54680\/fr23410110112","article-title":"Cryobiology and Fertility Preservation: A Perspective on Past, Current and Future Studies","volume":"44","author":"Abtahi","year":"2023","journal-title":"CryoLetters"},{"key":"ref_105","doi-asserted-by":"crossref","unstructured":"Fu, Y., Dang, W., He, X., Xu, F., and Huang, H. (2022). Biomolecular Pathways of Cryoinjuries in Low-Temperature Storage for Mammalian Specimens. Bioengineering, 9.","DOI":"10.3390\/bioengineering9100545"},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1038\/s41570-022-00407-4","article-title":"Chemical Approaches to Cryopreservation","volume":"6","author":"Murray","year":"2022","journal-title":"Nat. Rev. Chem."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1038\/s43586-022-00118-6","article-title":"A Guide to the Organ-on-a-Chip","volume":"2","author":"Leung","year":"2022","journal-title":"Nat. Rev. Methods Primers"},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"1394","DOI":"10.1038\/s41592-024-02322-6","article-title":"Visual Interpretability of Bioimaging Deep Learning Models","volume":"21","author":"Rotem","year":"2024","journal-title":"Nat. Methods"},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"22328","DOI":"10.1038\/s41598-022-25104-6","article-title":"Machine Learning and Hypothesis Driven Optimization of Bull Semen Cryopreservation Media","volume":"12","author":"Tu","year":"2022","journal-title":"Sci. Rep."},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"deaf097.241","DOI":"10.1093\/humrep\/deaf097.241","article-title":"O-241 Artificial Intelligence Scoring of Vitrified Blastocysts Predicts Post-Warming Contractions and Implantation Outcomes","volume":"40","author":"Conversa","year":"2025","journal-title":"Hum. Reprod."},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"404","DOI":"10.4103\/1008-682X.178488","article-title":"Multivariate Model for Predicting Semen Cryopreservation Outcomes in a Human Sperm Bank","volume":"19","author":"Jiang","year":"2017","journal-title":"Asian J. Androl."},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1146\/annurev-bioeng-071516-044532","article-title":"From Nanowarming to Thermoregulation: New Multiscale Applications of Bioheat Transfer","volume":"20","author":"Bischof","year":"2018","journal-title":"Annu. Rev. Biomed. Eng."},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/978-1-4939-2193-5_2","article-title":"Principles of Cryopreservation by Vitrification","volume":"Volume 1257","author":"Wolkers","year":"2015","journal-title":"Cryopreservation and Freeze-Drying Protocols"},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.cryobiol.2009.04.012","article-title":"The Dominance of Warming Rate over Cooling Rate in the Survival of Mouse Oocytes Subjected to a Vitrification Procedure","volume":"59","author":"Seki","year":"2009","journal-title":"Cryobiology"},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"1233","DOI":"10.1038\/s41592-019-0403-1","article-title":"Deep Learning for Cellular Image Analysis","volume":"16","author":"Moen","year":"2019","journal-title":"Nat. Methods"},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1038\/nrg2045","article-title":"Environmental Epigenomics and Disease Susceptibility","volume":"8","author":"Jirtle","year":"2007","journal-title":"Nat. Rev. Genet."},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1016\/j.fertnstert.2020.01.001","article-title":"Harnessing the Full Potential of Reproductive Genetics and Epigenetics for Male Infertility in the Era of \u201cBig Data.\u201d","volume":"113","author":"Patel","year":"2020","journal-title":"Fertil. Steril."},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.fertnstert.2023.10.007","article-title":"A Systematic Review of Genome-Wide Analyses of Methylation Changes Associated with Assisted Reproductive Technologies in Various Tissues","volume":"121","author":"Schaub","year":"2024","journal-title":"Fertil. Steril."},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"R189","DOI":"10.1530\/REP-19-0452","article-title":"Impact of Oxidative Stress on Male and Female Germ Cells: Implications for Fertility","volume":"159","author":"Aitken","year":"2020","journal-title":"Reproduction"},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.theriogenology.2016.04.020","article-title":"Epigenetics in Preimplantation Mammalian Development","volume":"86","author":"Canovas","year":"2016","journal-title":"Theriogenology"},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1038\/s43856-024-00694-6","article-title":"Genome-Wide DNA Methylation and Gene Expression in Human Placentas Derived from Assisted Reproductive Technology","volume":"4","author":"Auvinen","year":"2024","journal-title":"Commun. Med."},{"key":"ref_122","doi-asserted-by":"crossref","first-page":"546","DOI":"10.1093\/humrep\/dey034","article-title":"Developmental Plasticity and Its Relevance to Assisted Human Reproduction","volume":"33","author":"Roseboom","year":"2018","journal-title":"Hum. Reprod."},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"e20230058","DOI":"10.1590\/1984-3143-ar2023-0058","article-title":"Opportunities Involving Microfluidics and 3D Culture Systems to the in Vitro Embryo Production","volume":"20","author":"Ferraz","year":"2023","journal-title":"Anim. Reprod."},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"e10625","DOI":"10.1002\/btm2.10625","article-title":"Microfluidic Chip as a Promising Evaluation Method in Assisted Reproduction: A Systematic Review","volume":"9","author":"Wu","year":"2024","journal-title":"Bioeng. Transl. Med."},{"key":"ref_125","doi-asserted-by":"crossref","unstructured":"Fluks, M., Collier, R., Walewska, A., Bruce, A.W., and Ajduk, A. (2024). How Great Thou ART: Biomechanical Properties of Oocytes and Embryos as Indicators of Quality in Assisted Reproductive Technologies. Front. Cell Dev. Biol., 12.","DOI":"10.3389\/fcell.2024.1342905"},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1038\/s41551-021-00784-z","article-title":"Advanced Technologies for the Preservation of Mammalian Biospecimens","volume":"5","author":"Huang","year":"2021","journal-title":"Nat. Biomed. Eng."},{"key":"ref_127","doi-asserted-by":"crossref","unstructured":"Reyes Palomares, A., and Rodriguez-Wallberg, K.A. (2022). Update on the Epigenomic Implication of Embryo Cryopreservation Methods Applied in Assisted Reproductive Technologies with Potential Long-Term Health Effects. Front. Cell Dev. Biol., 10.","DOI":"10.3389\/fcell.2022.881550"},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"e70094","DOI":"10.1002\/inmd.70094","article-title":"Organoids and Organ-on-a-chip Models for Investigating the Pathophysiology of the Human Reproductive System","volume":"4","author":"Zhang","year":"2026","journal-title":"Interdiscip. Med."},{"key":"ref_129","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1038\/s41540-024-00476-9","article-title":"Bridging Silicon and Carbon Worlds with Digital Twins and On-Chip Systems in Drug Discovery","volume":"10","author":"Akbarialiabad","year":"2024","journal-title":"npj Syst. Biol. Appl."},{"key":"ref_130","doi-asserted-by":"crossref","unstructured":"The ESHRE Guideline Group on Female Fertility Preservation, Anderson, R.A., Amant, F., Braat, D., D\u2019Angelo, A., Chuva De Sousa Lopes, S.M., Demeestere, I., Dwek, S., Frith, L., and Lambertini, M. (2020). ESHRE Guideline: Female Fertility Preservation\u2020. Hum. Reprod. Open, 2020, hoaa052.","DOI":"10.1093\/hropen\/hoaa052"},{"key":"ref_131","doi-asserted-by":"crossref","first-page":"108609","DOI":"10.1016\/j.reprotox.2024.108609","article-title":"Multi-Cellular Engineered Living Systems to Assess Reproductive Toxicology","volume":"127","author":"Lopez","year":"2024","journal-title":"Reprod. Toxicol."},{"key":"ref_132","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.csbj.2024.12.030","article-title":"AI-Driven Multi-Omics Integration for Multi-Scale Predictive Modeling of Genotype-Environment-Phenotype Relationships","volume":"27","author":"Wu","year":"2025","journal-title":"Comput. Struct. Biotechnol. J."},{"key":"ref_133","doi-asserted-by":"crossref","unstructured":"Meneses, J., Concei\u00e7\u00e3o, F., Van Der Meer, A.D., De Wit, S., and Moreira Teixeira, L. (2024). Guiding Organs-on-Chips towards Applications: A Balancing Act between Integration of Advanced Technologies and Standardization. Front. Lab Chip Technol., 3.","DOI":"10.3389\/frlct.2024.1376964"},{"key":"ref_134","doi-asserted-by":"crossref","first-page":"4526","DOI":"10.7150\/thno.87266","article-title":"Organ-on-a-Chip Meets Artificial Intelligence in Drug Evaluation","volume":"13","author":"Deng","year":"2023","journal-title":"Theranostics"},{"key":"ref_135","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1002\/cpt.1688","article-title":"Organs-on-Chips in Clinical Pharmacology: Putting the Patient Into the Center of Treatment Selection and Drug Development","volume":"107","author":"Peck","year":"2020","journal-title":"Clin. Pharmacol. Ther."},{"key":"ref_136","unstructured":"U.S. Food and Drug Administration (2025). Roadmap to Reducing Animal Testing in Preclinical Safety Studies."},{"key":"ref_137","doi-asserted-by":"crossref","unstructured":"Hew, Y., Kutuk, D., Duzcu, T., Ergun, Y., and Basar, M. (2024). Artificial Intelligence in IVF Laboratories: Elevating Outcomes Through Precision and Efficiency. Biology, 13.","DOI":"10.3390\/biology13120988"},{"key":"ref_138","doi-asserted-by":"crossref","first-page":"4597","DOI":"10.1016\/j.cell.2021.08.005","article-title":"Organs-on-a-Chip Models for Biological Research","volume":"184","author":"Radisic","year":"2021","journal-title":"Cell"},{"key":"ref_139","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1186\/s12958-024-01290-y","article-title":"Beyond Earth\u2019s Bounds: Navigating the Frontiers of Assisted Reproductive Technologies (ART) in Space","volume":"22","author":"Chaplia","year":"2024","journal-title":"Reprod. Biol. Endocrinol."},{"key":"ref_140","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1038\/s41526-024-00351-1","article-title":"The Effect of Space Travel on Human Reproductive Health: A Systematic Review","volume":"10","author":"Paludo","year":"2024","journal-title":"npj Microgravity"}],"container-title":["Bioengineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5354\/13\/9\/976\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T04:13:42Z","timestamp":1787890422000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5354\/13\/9\/976"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,25]]},"references-count":140,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2026,9]]}},"alternative-id":["bioengineering13090976"],"URL":"https:\/\/doi.org\/10.3390\/bioengineering13090976","relation":{},"ISSN":["2306-5354"],"issn-type":[{"value":"2306-5354","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,25]]}}}