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Past News

Large Language Models (LLMs) Show Promise

A multi-stage validation framework for trustworthy large-scale clinical information extraction using large language models

Predictive analytics to direct clinical attention to complex patients with elevated suicide risk

Suicide is a major public health concern, particularly among Veterans. Veterans Affairs employs REACH VET model to prioritize high-risk patients.

Leveraging large language models to automate the identification of healthcare access barriers for veterans

Requiring LLMs to analyze evidence before classification improves both accuracy and explanation consistency for identifying transportation barriers in clinical notes.

Investigating the opioid epidemic across the United States: Associations between county-level characteristics and overdose mortality

The opioid crisis remains a critical public health challenge in the United States.

ISEE 36th Annual Conference – Association of short-term exposure to ambient air pollution and weather conditions with deaths of despair among U.S. Veterans

Association of short-term exposure to ambient air pollution and weather conditions with deaths of despair among U.S. Veterans

Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program

The Department of Veterans Affairs (VA) Million Veteran Program (MVP), one of the largest US-based biobanks, addresses the need of increasing diversity in human genomics datasets.

One Million Strong: VA’s Million Veteran Program makes history

The Million Veteran Program (MVP) has made history. One million veterans have joined the VA’s largest health research effort.

Hilda Klasky named senior member of ACM

Hilda Klasky, an R&D staff member at Department of Energy’s Oak Ridge National Laboratory, has been selected as a senior member of ACM

CPViz: Visualizing clinical pathways represented in higher-order networks

Understanding the variability of clinical pathways to improve clinical care practices.