BrainX Community Live! July 2024: Foundation model applications in Pathology

Dmitry Nechaev

Dmitry Nechaev is the Chief AI Scientist at HistAI. At HistAI, he lead the development of SOTA AI-driven algorithms for digital pathology. He is responsible for generating ideas, research, integrating open-source solutions, developing custom DL architectures, training models, and deploying them to production.

Rama Gullapalli

MD, PhD

Rama Gullapalli, MD, PhD is a physician-scientist,Associate Professor, in the departments of Pathology, Chemical and Biological Engineering at the University of New Mexico (UNM). Dr. Gullapalli obtained his medical degree from the Armed Forces Medical College (AFMC) in India. He subsequently obtained a master’s degree in Electrical Engineering and a PhD in Bioengineering at The Pennsylvania State University. Dr. Gullapalli completed his residency in Clinical Pathology and a fellowship in Molecular Pathology at the University of Pittsburgh Medical Center (UPMC). On the clinical side, Dr. Gullapalli is interested in the convergence of technology with traditional pathology practice, with a focus on next generation sequencing, digital pathology, clinical informatics and personalized medicine. The Gullapalli research lab is currently focused on two key areas of research: 1) Cancers of the liver and gallbladder with a focus on environment-microbiome-inflammation interactions 2) Understanding the role of environmental heavy metals (e.g., Cadmium) as a risk factor of hepatobiliary pathophysiology. The Gullapalli lab brings to bear a wide variety of research methods such as high throughput sequencing, fluorescence optical techniques, bioinformatics, molecular biology and systems biology to understand the pathogenesis of hepatobiliary cancers.

Program description:

– Introduction

– “Hibou: Challenges in Training a Foundational Vision Transformer and Its Applications in Digital Pathology.” Dmitry Nechaev,MS, Chief AI Scientist, HistAI.

– Q&A with Dr. Rama Gullapalli & Dmitry Nechaev,MS