430 citations · 442 across the 7 of their papers we have counts for
7 papers
Multimodal LLMs for health grounded in individual-specific data
Anastasiya Belyaeva, Justin Cosentino, Farhad Hormozdiari +6
Foundation large language models (LLMs) have shown an impressive ability to solve tasks across a wide range of fields including health. To effectively solve personalized health tas…
Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning
Wei-Hung Weng, Sebastien Baur, Mayank Daswani +13
Cardiovascular diseases (CVDs) are responsible for a large proportion of premature deaths in low- and middle-income countries. Early CVD detection and intervention is critical in t…
Knowledge distillation for fast and accurate DNA sequence correction
Anastasiya Belyaeva, Joel Shor, Daniel E. Cook +11
Accurate genome sequencing can improve our understanding of biology and the genetic basis of disease. The standard approach for generating DNA sequences from PacBio instruments rel…
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression
Steve Yadlowsky, Taedong Yun, Cory McLean +1
Logistic regression remains one of the most widely used tools in applied statistics, machine learning and data science. However, in moderately high-dimensional problems, where the…
Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology
Babak Alipanahi, Farhad Hormozdiari, Babak Behsaz +10
Genome-wide association studies (GWAS) require accurate cohort phenotyping, but expert labeling can be costly, time-intensive, and variable. Here we develop a machine learning (ML)…
Underspecification Presents Challenges for Credibility in Modern Machine Learning
Alexander D'Amour, Katherine Heller, Dan Moldovan +37
ML models often exhibit unexpectedly poor behavior when they are deployed in real-world domains. We identify underspecification as a key reason for these failures. An ML pipeline i…
Reducing pervasive false positive identical-by-descent segments detected by large-scale pedigree analysis
Eric Y. Durand, Nicholas Eriksson, Cory Y. McLean
Analysis of genomic segments shared identical-by-descent (IBD) between individuals is fundamental to many genetic applications, from demographic inference to estimating the heritab…