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.
Mother and baby. Photo credit: Unsplash.
In the U.S., preterm birth (10 percent of births), preeclampsia (affecting 1 in 25 pregnancies), and low birth weight (9 percent of births) are often concurrent obstetric disorders affecting maternal, infant, and lifetime health. With funding from the NIH, Dr. Jenn Hadlock, Dr. Lee Hood, and former Hood Lab member Dr. Sam Piekos are researching the molecular basis of obstetric disorders to improve maternal-fetal clinical care and lifetime health.
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. With NIH support, ISB’s Hood and Hadlock labs are analyzing All of Us data from 800,000 enrollees on the effect of genetic variants, which may vary based on disease risk and other factors.
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.
The Biomedical Data Translator is now publicly available, offering a powerful open-source platform that integrates diverse biomedical datasets. Designed to accelerate discovery and patient care, Translator helps users explore complex data and uncover actionable insights with ease.
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.
Associate Professor and Director of Medical Data Science
ISB