37 citations · 74 across the 7 of their papers we have counts for
7 papers
BioVERSE: Representation Alignment of Biomedical Modalities to LLMs for Multi-Modal Reasoning
Ching-Huei Tsou, Michal Ozery-Flato, Ella Barkan +2
Recent advances in large language models (LLMs) and biomedical foundation models (BioFMs) have achieved strong results in biological text reasoning, molecular modeling, and single-…
BMFM-DNA: A SNP-aware DNA foundation model to capture variant effects
Hongyang Li, Sanjoy Dey, Bum Chul Kwon +7
Large language models (LLMs) trained on text demonstrated remarkable results on natural language processing (NLP) tasks. These models have been adapted to decipher the language of…
BMFM-RNA: whole-cell expression decoding improves transcriptomic foundation models
Michael M. Danziger, Bharath Dandala, Viatcheslav Gurev +12
Transcriptomic foundation models pretrained with masked language modeling can achieve low pretraining loss yet produce poor cell representations for downstream tasks. We introduce…
Extracting Medication Changes in Clinical Narratives using Pre-trained Language Models
Giridhar Kaushik Ramachandran, Kevin Lybarger, Yaya Liu +5
An accurate and detailed account of patient medications, including medication changes within the patient timeline, is essential for healthcare providers to provide appropriate pati…
Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives
Diwakar Mahajan, Jennifer J Liang, Ching-Huei Tsou
Understanding medication events in clinical narratives is essential to achieving a complete picture of a patient's medication history. While prior research has explored classificat…
WNTRAC: AI Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19
Parthasarathy Suryanarayanan, Ching-Huei Tsou, Ananya Poddar +23
The Coronavirus disease 2019 (COVID-19) global pandemic has transformed almost every facet of human society throughout the world. Against an emerging, highly transmissible disease…
Extracting Daily Dosage from Medication Instructions in EHRs: An Automated Approach and Lessons Learned
Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou
Medication timelines have been shown to be effective in helping physicians visualize complex patient medication information. A key feature in many such designs is a longitudinal re…