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Patterns (New York, N.Y.)|April 25, 2022
Artificial intelligence-assisted drug repurposing via "chemical-induced gene expression ranking"Takaaki Masuda, Koshi Mimori
Patterns (New York, N.Y.)|April 25, 2022
Digital twins and the ethics of health decision-making concerning childrenMatthias Braun, Jenny Krutzinna
Patterns (New York, N.Y.)|February 24, 2022
Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer studyMustafa Umit Oner, Jianbin Chen, Egor Revkov, et al.
Patterns (New York, N.Y.)|February 24, 2022
Breaking away from labels: The promise of self-supervised machine learning in intelligent healthDimitris Spathis, Ignacio Perez-Pozuelo, Laia Marques-Fernandez, et al.
Patterns (New York, N.Y.)|February 24, 2022
Effect of imputation on gene network reconstruction from single-cell RNA-seq dataLam-Ha Ly, Martin Vingron
Patterns (New York, N.Y.)|February 24, 2022
Ranks underlie outcome of combining classifiers: Quantitative roles for diversity and accuracyMatthew J Sniatynski, John A Shepherd, Thomas Ernst, et al.
Patterns (New York, N.Y.)|February 24, 2022
A Silicon Valley love triangle: Hiring algorithms, pseudo-science, and the quest for auditabilityMona Sloane, Emanuel Moss, Rumman Chowdhury
Patterns (New York, N.Y.)|February 7, 2022
Inferring global-scale temporal latent topics from news reports to predict public health interventions for COVID-19Zhi Wen, Guido Powell, Imane Chafi, et al.
Patterns (New York, N.Y.)|March 14, 2022
Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemicCaspar J Van Lissa, Wolfgang Stroebe, Michelle R vanDellen, et al.
Patterns (New York, N.Y.)|August 11, 2020
Cross-Modal Data Programming Enables Rapid Medical Machine LearningJared A Dunnmon, Alexander J Ratner, Khaled Saab, et al.
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