Lyall DM, Kormilitzin A, Lancaster C, et al. Artificial intelligence for dementia-Applied models and digital health. Alzheimer’s & dementia : the journal of the Alzheimer’s Association. 2023. doi:10.1002/alz.13391
Nguyen LH, Okin D, Drew DA, et al. Metagenomic assessment of gut microbial communities and risk of severe COVID-19. Genome medicine. 2023;15(1):49. doi:10.1186/s13073-023-01202-6
Ding J, Regev A. Deep generative model embedding of single-cell RNA-Seq profiles on hyperspheres and hyperbolic spaces. Nat Commun. 2021;12(1):2554. doi:10.1038/s41467-021-22851-4
Anahtar M, Chan LW, Ko H, et al. Host protease activity classifies pneumonia etiology. Proc Natl Acad Sci U S A. 2022;119(25):e2121778119. doi:10.1073/pnas.2121778119
Chow YL, Singh S, Carpenter AE, Way GP. Predicting drug polypharmacology from cell morphology readouts using variational autoencoder latent space arithmetic. PLoS Comput Biol. 2022;18(2):e1009888. doi:10.1371/journal.pcbi.1009888
Radhakrishnan A, Stefanakis G, Belkin M, Uhler C. Simple, fast, and flexible framework for matrix completion with infinite width neural networks. Proc Natl Acad Sci U S A. 2022;119(16):e2115064119. doi:10.1073/pnas.2115064119
Agrawal S, Klarqvist MDR, Emdin C, et al. Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction. Patterns (N Y). 2021;2(12):100364. doi:10.1016/j.patter.2021.100364
Eulenberg P, Köhler N, Blasi T, et al. Reconstructing cell cycle and disease progression using deep learning. Nat Commun. 2017;8(1):463. doi:10.1038/s41467-017-00623-3
Caicedo JC, Cooper S, Heigwer F, et al. Data-analysis strategies for image-based cell profiling. Nat Methods. 2017;14(9):849-863. doi:10.1038/nmeth.4397
van Galen P, Hovestadt V, Ii MHW, et al. Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunity. Cell. 2019;176(6):1265-1281.e24. doi:10.1016/j.cell.2019.01.031