Mining the NCI Anticancer Drug Discovery Databases: Genetic Function Approximation for the QSAR Study of Anticancer Ellipticine Analogues. - Leming M. Shi; Yi Fan; Timothy G. Myers 001; Patrick M. O'Connor; Kenneth D. Paull; Stephen H. Friend; John N. Weinstein (J. Chem. Inf. Comput. Sci., 1998)

Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling. - Erhan Bilal; Janusz Dutkowski; Justin Guinney; In Sock Jang; Benjamin A. Logsdon; Gaurav Pandey 002; Benjamin A. Sauerwine; Yishai Shimoni; Hans Kristian Moen Vollan; Brigham H. Mecham; Oscar M. Rueda; Jorg Tost; et al. (PLoS Comput. Biol., 2013)

Systematic Assessment of Analytical Methods for Drug Sensitivity Prediction from Cancer Cell Line Data. - In Sock Jang; Elias Chaibub Neto; Justin Guinney; Stephen H. Friend; Adam A. Margolin (Pacific Symposium on Biocomputing, 2014)

The Stream Algorithm: Computationally Efficient Ridge-Regression via Bayesian Model Averaging, and Applications to Pharmacogenomic Prediction of Cancer Cell Line Sensitivity. - Elias Chaibub Neto; In Sock Jang; Stephen H. Friend; Adam A. Margolin (Pacific Symposium on Biocomputing, 2014)

The NIH BD2K center for big data in translational genomics. - Benedict Paten; Mark Diekhans; Brian J. Druker; Stephen H. Friend; Justin Guinney; Nadine Gassner; Mitchell Guttman; W. James Kent; Patrick Mantey; Adam A. Margolin; Matt Massie; Adam M. Novak; et al. (J. Am. Medical Informatics Assoc., 2015)

Building a Research Ecosystem upon the Early Success of ResearchKit. - Kenneth D. Mandl; Richard A. Bloomfield Jr.; Deborah Estrin; Stephen H. Friend; Pascal B. Pfiffner (AMIA, 2016)

Personalized Hypothesis Tests for Detecting Medication Response in Parkinson Disease Patients Using iPhone Sensor Data. - Elias Chaibub Neto; Brian M. Bot; Thanneer M. Perumal; Larsson Omberg; Justin Guinney; Mike Kellen; Arno Klein; Stephen H. Friend; Andrew D. Trister (PSB, 2016)

A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis. - David Noren; Byron Long; Raquel Norel; Kahn Rhrissorrakrai; Kenneth R. Hess; Chenyue W. Hu; Alex Bisberg; André Schultz; Erik Engquist; Li Liu 035; Xihui Lin; Gregory M. Chen; et al. (PLoS Comput. Biol., 2016)

Unlocking stress and forecasting its consequences with digital technology. - Sarah M. Goodday; Stephen H. Friend (npj Digit. Medicine, 2019)

Detecting the impact of subject characteristics on machine learning-based diagnostic applications. - Elias Chaibub Neto; Abhishek Pratap; Thanneer M. Perumal; Meghasyam Tummalacherla; Phil Snyder; Brian M. Bot; Andrew D. Trister; Stephen H. Friend; Lara M. Mangravite; Larsson Omberg (npj Digit. Medicine, 2019)

Effect of self-managed lifestyle treatment on glycemic control in patients with type 2 diabetes. - Chinmay Kumar Dwibedi; Emelia Mellergård; Amaru Cuba Gyllensten; Kristoffer Nilsson; Annika S. Axelsson; Malin Bäckman; Magnus Sahlgren; Stephen H. Friend; Sofie Persson; Stefan Franzén; Birgitta Abrahamsson; Katarina Steen Carlsson; et al. (npj Digit. Medicine, 2022)

Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum. - Sarah M. Goodday; E. Karlin; A. Brooks; C. Chapman; Daniel R. Karlin; Luca Foschini 002; E. Kipping; M. Wildman; M. Francis; H. Greenman; Li Li 062; Eric E. Schadt; et al. (npj Digit. Medicine, 2022)

Dissecting the heterogeneity of "in the wild" stress from multimodal sensor data. - Sujay Nagaraj; Sarah M. Goodday; Thomas Hartvigsen; Adrien Boch; Kopal Garg; Sindhu C. M. Gowda; Luca Foschini 002; Marzyeh Ghassemi; Stephen H. Friend; Anna Goldenberg (npj Digit. Medicine, 2023)

Towards a personalized pregnancy experience: Forecasting symptoms using graph neural networks and digital health technologies. - Rui Zhu; Jennifer Yu; Stephen H. Friend; Sarah M. Goodday; Bo Wang 044; Anna Goldenberg (ML4H@NeurIPS, 2024)