Michal Weiss
F
aculty and Department: The Bloom school of graduate studies, and The School of Public Health
Research Topic: A multimodal signature for chronic pain
Supervisor: Dr. Pavel Goldstein
Research: I’m developing a multimodal, non-invasive, and objective biomarker for diagnosing Fibromyalgia, a complex chronic pain syndrome. This involves analyzing biochemical, neurophysiological, and clinical data from both patients and healthy individuals. Through machine learning, I aim to create a reliable diagnostic tool for Fibromyalgia, thereby addressing a significant gap in current diagnostic methods and facilitating personalized treatment strategies.
Relevant keywords: Fibromyalgia, Chronic pain, machine learning
Hobbies: Reading, learning new stuff, Travelling
