80 citations · 107 across the 3 of their papers we have counts for
3 papers
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data
Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf Roohani +15
In drug discovery, mapping interactions between genes within cellular systems is a crucial early step. Such maps are not only foundational for understanding the molecular mechanism…
Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modeling
James Lu, Brendan Bender, Jin Y. Jin +1
The longitudinal analysis of patient response time course following doses of therapeutics is currently performed using Pharmacokinetic/Pharmacodynamic (PK/PD) methodologies, which…
Lung cancer screening with low-dose CT scans using a deep learning approach
Jason L. Causey, Yuanfang Guan, Wei Dong +4
Lung cancer is the leading cause of cancer deaths. Early detection through low-dose computed tomography (CT) screening has been shown to significantly reduce mortality but suffers…