3 citations · 6 across the 3 of their papers we have counts for
3 papers
Patient-Specific Models of Treatment Effects Explain Heterogeneity in Tuberculosis
Ethan Wu, Caleb Ellington, Ben Lengerich +1
Tuberculosis (TB) is a major global health challenge, and is compounded by co-morbidities such as HIV, diabetes, and anemia, which complicate treatment outcomes and contribute to h…
Scaling Structure Aware Virtual Screening to Billions of Molecules with SPRINT
Andrew T. McNutt, Abhinav K. Adduri, Caleb N. Ellington +4
Virtual screening of small molecules against protein targets can accelerate drug discovery and development by predicting drug-target interactions (DTIs). However, structure-based m…
Contextualized Machine Learning
Benjamin Lengerich, Caleb N. Ellington, Andrea Rubbi +2
We examine Contextualized Machine Learning (ML), a paradigm for learning heterogeneous and context-dependent effects. Contextualized ML estimates heterogeneous functions by applyin…