The Hadlock Lab, led by Dr. Jennifer Hadlock, conducts translational research to improve risk models for clinical decision support and investigates novel methods to accelerate research discovery.
Dr. Jenn Hadlock with her lab at ISB. Photo credit: Scott Eklund / Red Box Pictures.
At least 10 percent of adults with COVID-19 will experience Long COVID with a wide range of health problems extending at least three months after initial infection. The Hadlock Lab, with NIH support, is exploring how our immune system’s adaptive response to COVID-19 infection differs in patients with Long COVID to pinpoint potential prevention and treatment strategies.
Image credit: NIH All of Us from their sharable resources archive.
The NIH is leading an effort – All of Us – to correct long-standing disparities in biomedical research resulting in treatments best serving white males. With NIH support, ISB’s Hood and Hadlock labs are analyzing All of Us data from 800,000 enrollees – 80 percent from underrepresented populations – on the effect of genetic variants, which may vary based on sex, race, and ethnicity, on disease risk.
Researcher working at a computer in the mass spec lab at ISB. Photo credit: Steve Utaski / Remedy Pictures.
Accessing the vast multitude of biomedical and scientific data is a bottleneck, slowing the translation of research into care. The Hood Lab’s Gwênlyn Glusman, with the Hadlock and Thorsson-Shmulevich labs, is fixing this “first-mile” problem by integrating data troves into the Biomedical Data Translator. The Translator enables researchers to access and query this knowledge, extracting information urgently needed to improve clinical care.
New research highlights strengths of large language models in uncovering social determinants of health while underscoring the need for human oversight and improved de-identification methods.
Everybody poops, but not every day. An ISB-led research team examined the clinical, lifestyle, and multi-omic data of more than 1,400 healthy adults. How often people poop, they found, can have a large influence on one’s physiology and health.
An ISB-led study showed nuanced pregnancy outcomes for pregnant individuals with autoimmune disease. The findings reinforce that there isn’t a one-size-fits-all approach, and provides important new avenues for further investigation.
Associate Professor and Director of Medical Data Science
ISB