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Previously, by using our \u201ccomparative spectral decompositions\u201d of two matrices and, separately, two third-order tensors, we demonstrated accurate, precise, actionable, and interpretable tumor whole-genome and, separately, whole-transcriptome predictors\u2014of patients\u2019 survival, treatment responses, and drug targets\u2014in different cancers. Here, we introduce a unified framework that generalizes these exact and structure-preserving algorithms to multiple tensors of any order to model real-world data that measure multiple aspects of interrelated phenomena. We prove properties (e.g., existence and uniqueness) and define metrics (e.g., the \u201cmultitensor joint Shannon entropy\u201d and the \u201cmultitensor comparative angular distance\u201d) necessary to derive, test, and explain a model. We highlight the novel connection to the quantum mechanical concept of \u201centanglement\u201d in addition to that of \u201csuperposition.\u201d We illustrate the framework in the discovery and validation of two novel predictors in neuroblastoma\u2014each with three entangled representations\u2014in the tumor and blood genomes and tumor transcriptome, where the result of the measurement of any one representation approximately determines the results of the measurements of the other two. Finally, we show that in every representation, the two predictors combined are consistently more accurate than the best standard-of-care biomarker (i.e., the one-gene test for tumor MYCN amplification), and we interpret them in terms of known and new disease mechanisms and drug targets.<\/jats:p>","DOI":"10.1063\/5.0305656","type":"journal-article","created":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T12:13:49Z","timestamp":1782130429000},"update-policy":"https:\/\/doi.org\/10.1063\/aip-crossmark-policy-page","source":"Crossref","is-referenced-by-count":0,"title":["Quantum mechanics-based multitensor AI\/ML uniquely able to discover, validate, and interpret predictors from small-cohort noisy high-dimensional multiomic data"],"prefix":"10.1063","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0418-1078","authenticated-orcid":false,"given":"Orly","family":"Alter","sequence":"first","affiliation":[{"name":"Scientific Computing and Imaging Institute, University of Utah 1 , Salt Lake City, Utah 84112,","place":["USA"]},{"name":"Department of Bioengineering, Department of Human Genetics, and Huntsman Cancer Institute, University of Utah 2 , Salt Lake City, Utah 84112,","place":["USA"]},{"name":"Prism AI Therapeutics, Inc. 3 , Salt Lake City, Utah 84103,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6309-7706","authenticated-orcid":false,"given":"Elizabeth","family":"Newman","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Tufts University 4 , Medford, Massachusetts 02155,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9608-7914","authenticated-orcid":false,"given":"Sri Priya","family":"Ponnapalli","sequence":"additional","affiliation":[{"name":"Scale AI, Inc. 5 , San Francisco, California 94103,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0540-4330","authenticated-orcid":false,"given":"Jessica W.","family":"Tsai","sequence":"additional","affiliation":[{"name":"6 Cancer and Blood Disease Institute, Children's Hospital of Los Angeles, Los Angeles, California 90027, and Department of Pediatrics, Keck School of Medicine of the University of Southern California, Los Angeles, California, 90033, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"317","published-online":{"date-parts":[[2026,6,22]]},"reference":[{"key":"2026062208134247900_c1","doi-asserted-by":"publisher","first-page":"835","DOI":"10.1038\/nature01626","article-title":"A vision for the future of genomics research","volume":"422","year":"2003","journal-title":"Nature"},{"key":"2026062208134247900_c2","doi-asserted-by":"publisher","first-page":"2369","DOI":"10.1056\/NEJMp1314561","article-title":"First FDA authorization for next-generation sequencer","volume":"369","year":"2013","journal-title":"N. 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