Abel ED, Gloyn AL, Evans-Molina C, Joseph JJ, Misra S, Pajvani UB, et al. Diabetes mellitus-progress and opportunities in the evolving epidemic. Cell. 2024;187:3789–820.

Article  CAS  PubMed  Google Scholar 

Bionic Pancreas Research Group, Russell SJ, Beck RW, Damiano ER, El-Khatib FH, Ruedy KJ, et al. Multicenter, randomized trial of a bionic pancreas in type 1 diabetes. N. Engl J Med. 2022;387:1161–72.

Article  PubMed Central  Google Scholar 

Demidowich AP, Stanback C, Zilbermint M. Inpatient diabetes management. Ann NY Acad Sci. 2024;1538:5–20.

Article  PubMed  Google Scholar 

GRADE Study Research Group, Nathan DM, Lachin JM, Balasubramanyam A, Burch HB, Buse JB, et al. Glycemia reduction in type 2 diabetes - glycemic outcomes. N. Engl J Med 2022;387:1063–74.

Article  Google Scholar 

Sperling MA, Laffel LM. Current management of glycemia in children with type 1 diabetes mellitus. N. Engl J Med. 2022;386:1155–64.

Article  PubMed  Google Scholar 

Torkamani A, Wineinger NE, Topol EJ. The personal and clinical utility of polygenic risk scores. Nat Rev Genet. 2018;19:581–90.

Article  CAS  PubMed  Google Scholar 

Li J, Pan C, Zhang S, Spin JM, Deng A, Leung LLK, et al. Decoding the genomics of abdominal aortic aneurysm. Cell. 2018;174:1361–72.e10.

Article  CAS  PubMed  Google Scholar 

Danaee P, Ghaeini R, Hendrix DA. A deep learning approach for cancer detection and relevant gene identification. Pac Symp. Biocomput. 2017;22:219–29.

Google Scholar 

Fakoor R, Ladhak F, Nazi A, Huber M, editors. Using deep learning to enhance cancer diagnosis and classification. The 30th International Conference on Machine Learning (ICML 2013); 2013; Atlanta, GA

Singh V, Baranwal N, Sevakula RK, Verma NK, Cui Y, editors. Layerwise feature selection in Stacked Sparse Auto-Encoder for tumor type prediction. 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM); 2016; Shenzhen, China.

Tan J, Ung M, Cheng C, Greene CS. Unsupervised feature construction and knowledge extraction from genome-wide assays of breast cancer with denoising autoencoders. Pac Symp Biocomput. 2015;20:132–43.

PubMed  PubMed Central  Google Scholar 

Li R, Chen Y, Ritchie MD, Moore JH. Electronic health records and polygenic risk scores for predicting disease risk. Nat Rev Genet. 2020;21:493–502.

Article  CAS  PubMed  Google Scholar 

Hasin Y, Seldin M, Lusis A. Multi-omics approaches to disease. Genome Biol. 2017;18:83.

Article  PubMed  PubMed Central  Google Scholar 

Karczewski KJ, Snyder MP. Integrative omics for health and disease. Nat Rev Genet. 2018;19:299–310.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Chen S, Tan ALM, Saad Menezes MC, Mao JF, Perry CL, Vella ME, et al. Polygenic risk scores for autoimmune related diseases are significantly different in cancer exceptional responders. NPJ Precis Oncol. 2024;8:120.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ross JS, Stagliano NE, Donovan MJ, Breitbart RE, Ginsburg GS. Atherosclerosis: a cancer of the blood vessels? Am J Clin Pathol 2001;116:S97–107.

PubMed  Google Scholar 

Huna A, Massemin A, Makulyte G, Flaman JM, Martin N, Bernard D. Regulation of cell function and identity by cellular senescence. J Cell Biol. 2024;223:e202401112.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Schmidt TT, Tyer C, Rughani P, Haggblom C, Jones JR, Dai X, et al. High resolution long-read telomere sequencing reveals dynamic mechanisms in aging and cancer. Nat Commun. 2024;15:5149.

Article  CAS  PubMed  PubMed Central  Google Scholar 

La Rocca C, Carbone F, Longobardi S, Matarese G. The immunology of pregnancy: regulatory T cells control maternal immune tolerance toward the fetus. Immunol Lett. 2014;162:41–8.

Article  PubMed  Google Scholar 

Fragiadakis GK, Baca QJ, Gherardini PF, Ganio EA, Gaudilliere DK, Tingle M, et al. Mapping the fetomaternal peripheral immune system at term pregnancy. J Immunol. 2016;197:4482–92.

Article  CAS  PubMed  Google Scholar 

Kinder JM, Stelzer IA, Arck PC, Way SS. Immunological implications of pregnancy-induced microchimerism. Nat Rev Immunol. 2017;17:483–94.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Stelzer IA, Ghaemi MS, Han X, Ando K, Hedou JJ, Feyaerts D, et al. Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset. Sci Transl Med. 2021;13:eabd9898.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Khan SS, Vaughan AS, Harrington K, Seegmiller L, Huang X, Pool LR, et al. US county-level variation in preterm birth rates, 2007–2019. JAMA Netw Open. 2023;6:e2346864.

Article  PubMed  PubMed Central  Google Scholar 

Ohuma EO, Moller AB, Bradley E, Chakwera S, Hussain-Alkhateeb L, Lewin A, et al. National, regional, and global estimates of preterm birth in 2020, with trends from 2010: a systematic analysis. Lancet. 2023;402:1261–71.

Article  PubMed  Google Scholar 

Aghaeepour N, Ganio EA, McIlwain D, Tsai AS, Tingle M, Van Gassen S, et al. An immune clock of human pregnancy. Sci Immunol. 2017;2:eaan2946.

Article  PubMed  PubMed Central  Google Scholar 

Aghaeepour N, Lehallier B, Baca Q, Ganio EA, Wong RJ, Ghaemi MS, et al. A proteomic clock of human pregnancy. Am J Obstet Gynecol. 2018;218:347 e1–e14.

Article  PubMed  Google Scholar 

Ghaemi MS, DiGiulio DB, Contrepois K, Callahan B, Ngo TTM, Lee-McMullen B, et al. Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy. Bioinformatics. 2019;35:95–103.

Article  CAS  PubMed  Google Scholar 

Maric I, Contrepois K, Moufarrej MN, Stelzer IA, Feyaerts D, Han X, et al. Early prediction and longitudinal modeling of preeclampsia from multiomics. Patterns (NY). 2022;3:100655.

Article  Google Scholar 

Maric I, Tsur A, Aghaeepour N, Montanari A, Stevenson DK, Shaw GM, et al. Early prediction of preeclampsia via machine learning. Am J Obstet Gynecol MFM. 2020;2:100100.

Article  PubMed  Google Scholar 

De Francesco D, Blumenfeld YJ, Maric I, Mayo JA, Chang AL, Fallahzadeh R, et al. A data-driven health index for neonatal morbidities. iScience. 2022;25:104143.

Article  PubMed  PubMed Central  Google Scholar 

De Francesco D, Reiss JD, Roger J, Tang AS, Chang AL, Becker M, et al. Data-driven longitudinal characterization of neonatal health and morbidity. Sci Transl Med. 2023;15:eadc9854.

Article  PubMed  PubMed Central  Google Scholar 

Espinosa CA, Khan W, Khanam R, Das S, Khalid J, Pervin J, et al. Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries. Sci Adv. 2023;9:eade7692.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Jehan F, Sazawal S, Baqui AH, Nisar MI, Dhingra U, Khanam R, et al. Multiomics characterization of preterm birth in low- and middle-income countries. JAMA Netw Open. 2020;3:e2029655.

Article  PubMed  PubMed Central  Google Scholar 

Hastie T, Tibshirani R, Wainwright M. Statistical learning with sparsity: the lasso and generalizations. 1st ed. New York: Chapman and Hall/CRC; 2015.

Moufarrej MN, Vorperian SK, Wong RJ, Campos AA, Quaintance CC, Sit RV, et al. Early prediction of preeclampsia in pregnancy with cell-free RNA. Nature. 2022;602:689–94.

Article  CAS  PubMed  PubMed Central  Google Scholar