How can we use AI to predict drug toxicity before clinical trials? What if we had a Google Maps-style view of the brain to track Alzheimer's progression?
In this episode, host Elaine Hamm, PhD, and guest Alexis Ducote, PhD, dive into Part II of their discussion that reveals groundbreaking advancements happening at the Tulane University School of Medicine. From pioneering research in age-related diseases like Alzheimer’s and osteoporosis to the impactful work in machine learning platforms to predict drug toxicity, they explore the exciting developments shaping the future of medicine.
In this episode, you'll discover:
- The creation of a detailed, Google Maps-like visualization of Alzheimer’s disease progression in the brain.
- The genetic and structural discoveries that could revolutionize osteoporosis treatment and prevention.
- How AI and machine learning are being used to predict liver toxicity and improve drug safety before clinical trials even begin.
Tune in to hear how Tulane’s latest scientific breakthroughs are paving the way to transform biotech and healthcare!
Links:
Connect with
Alexis Ducote, PhD.
Connect with
Elaine Hamm, PhD, and learn about
Tulane Medicine Business Development and the
School of Medicine.
Connect with
Hong-Wen Deng, PhD.
Connect with
Hao Zhu, PhD, and learn about his
lab, as well as his
Virtual Nanomaterial Simulator and
chemoinformatics and liver toxicity portal.
Check out
BIO on the BAYOU and make plans to attend October 28 & 29, 2025.
Learn more about
BIO from the BAYOU - the podcast.
Bio from the Bayou is a podcast that explores biotech innovation, business development, and healthcare outcomes in New Orleans & The Gulf South, connecting biotech companies, investors, and key opinion leaders to advance medicine, technology, and startup opportunities in the region.