Lishuang Shen
Clinical Staff Scientist at Childen's Hospital Los Angeles
Lishuang Shen is a seasoned bioinformatic scientist who worked with NGS data from the first batch of next generation sequencer (1GB per run) to the data monster sequencers today (6,000 GB per run). He worked at universities, hospitals, and genetic testing company, alone or with a team, for both publication and for service. He always tries to make discoveries and get diagnosis from the data; with old school tools and with GenAI -- together.
Sessions
“Millions-to-One, Words-to-Terms” - Generative AI in Action for Rare Disease Diagnosis and Clinical Data Harmonization
We present two Generative AI (GenAI)-based frameworks and practices that address 2 precision medicine data challenges. "millions-to-one" challenge in genomics: filtering millions of variants from a patient down to a single causative variant with diagnosis report. "words-to-terms" challenge: transforming unstructured, jargon-laden clinical data into standardized, terms encoded in ontologies.