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In this study, the concept of integrated paper\u2010based biosensors (IFP\n                    <jats:sup>\u2212Multi<\/jats:sup>\n                    ) for personalized healthcare management is introduced. By leveraging ink printing technology and a ChatGPT\u2013bioelectronic interface, these biosensors offer ultrahigh areal\u2010specific capacitance (74633 mF cm\n                    <jats:sup>\u22122<\/jats:sup>\n                    ), excellent mechanical properties, and multifunctional sensing and humidity power generation capabilities. More\u00a0importantly, the IFP\n                    <jats:sup>\u2212Multi<\/jats:sup>\n                    devices have the potential to simulate deaf\u2010mute vocalization and can be integrated into wearable sensors to detect muscle contractions and bending motions. Moreover, they also enable monitoring of physiological signals from various body parts, such as the throat, nape, elbow, wrist, and knee, and successfully record sharp and repeatable signals generated by muscle contractions. In addition, the IFP\n                    <jats:sup>\u2212Multi<\/jats:sup>\n                    devices demonstrate self\u2010powered handwriting sensing and moisture power generation for sweat\u2010sensing applications. As a proof\u2010of\u2010concept, a GPT 3.5 model\u2010based fine\u2010tuning and prediction pipeline that utilizes recorded physiological signals through IFP\n                    <jats:sup>\u2212Multi<\/jats:sup>\n                    is showcased, enabling artificial intelligence with multimodal sensing capabilities for personalized healthcare management. This work presents a promising and ecofriendly approach to developing paper\u2010based electrochemical multimodal devices, paving the way for a new era of healthcare advancements.\n                  <\/jats:p>","DOI":"10.1002\/advs.202305962","type":"journal-article","created":{"date-parts":[[2023,12,31]],"date-time":"2023-12-31T23:30:13Z","timestamp":1704065413000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":42,"title":["Integrated Ink Printing Paper Based Self\u2010Powered Electrochemical Multimodal Biosensing (IFP\n                    <sup>\u2212Multi<\/sup>\n                    ) with ChatGPT\u2013Bioelectronic Interface for Personalized Healthcare Management"],"prefix":"10.1002","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5138-3492","authenticated-orcid":false,"given":"Chuanyin","family":"Xiong","sequence":"first","affiliation":[{"name":"College of Bioresources Chemical &amp; Materials Engineering Shaanxi University of Science and Technology  Xi'an 710021 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weihua","family":"Dang","sequence":"additional","affiliation":[{"name":"College of Bioresources Chemical &amp; 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