Danilo Bzdok is an MD and computer scientist with a dual background in systems neuroscience and machine learning algorithms. His interdisciplinary research centers on the brain basis of human-defining types of thinking, with a special focus on the higher association cortex in health and disease. He uses population datasets (such as UK Biobank, HCP, CamCAN, ABCD) across levels of observation (brain structure and function, consequences from brain lesion, or common-variant genetics) with a broad toolkit of bioinformatic methods (machine-learning, high-dimensional statistics, and probabilistic Bayesian hierarchical modeling).
Talk
LLMs as Aid in Medical Diagnosis | June 14
Sessions in which Danilo Bzdok participates
Monday 10 June, 2024
Despite considerable effort, we see diminishing returns in detecting people with autism using genome-wide assays or brain scans. In contrast, the clinical intuition of healthcare professionals, from longstanding first-hand experience, remains the best way to diagnose autism. In an alternative approach, we used deep learning to dissect and interpret the mind of the clinician. After pre-training on hundreds of millions of general sentences, we applied large language models (LLMs) to >4000 fr...