Data-driven longitudinal characterization of neonatal health and morbidity
D De Francesco, JD Reiss, J Roger, AS Tang, AL Chang, M Becker, et. Al.
Science Translational Medicine 15 (683), (2023)

Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low-and middle-income countries
CA Espinosa, W Khan, R Khanam, S Das, J Khalid, J Pervin, MP Kasaro, et. Al.
Science Advances 9 (21), (2023)

Prediction of neuropathologic lesions from clinical data
T Phongpreecha, B Cholerton, S Bukhari, AL Chang, D De Francesco, et. Al.
Alzheimer’s & Dementia, (2023)

Large-scale correlation network construction for unraveling the coordination of complex biological systems
M Becker, H Nassar, C Espinosa, IA Stelzer, D Feyaerts, E Berson, et. Al.
Nature Computational Science, 1-14, (2023)

Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity
NG Ravindra, C Espinosa, E Berson, T Phongpreecha, P Zhao, M Becker, et. Al.
npj Digital Medicine 6 (1), (2023)

Variability and relative contribution of surgeon-and anesthesia-specific time components to total procedural time in cardiac surgery
MW Vanneman, M Thuraiappah, I Feinstein, V Fielding-Singh, A Peterson, et. Al.
The Journal of Thoracic and Cardiovascular Surgery,(2023)

Prediction of multiple neuropathologic changes from features available during life
T Phongpreecha, D De Francesco, A Chang, M Thuraiappah, M Becker, et. Al.
Alzheimer’s & Dementia 19, (2023)

Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning
M Becker, J Dai, AL Chang, D Feyaerts, IA Stelzer, M Zhang, E Berson, et. Al.
Frontiers in pediatrics 10, (2022)

BenMO: Benchmarking machine learning algorithms for making predictions using MultiOmics data
M Becker, Y Tan, M Thuraiappah, A Chang, I Stelzer, D Feyaerts, R Wong, et. Al.
development 8 (13), 25, (2021)