Description:

The Department of Biochemistry & Molecular Genetics presents:

Hani Goodarzi, PhD
Core Investigator at Arc Institute
Associate Professor, Department of Biochemistry and Biophysics
University of California San Francisco

Presentation: 

"Mosaics, Atlases, and AI: Charting New Paths in Precision
Oncology"

Abstract:

Precision oncology faces significant challenges due to the
inherent heterogeneity and complexity of tumor biology. Traditional drug
screening methods lack the scalability and context required to
accurately predict clinical outcomes. This talk highlights three
innovative approaches addressing these critical challenges: GENEVA,
Tahoe-100M, and scBaseCamp. First, GENEVA (Genetically Diverse and
Endogenously Controlled Phenotypic Variation Assay) enables scalable and
barcode-free phenotypic profiling, capturing intra- and inter-tumor
heterogeneity within patient-derived models. Second, Tahoe-100M
represents a groundbreaking giga-scale single-cell perturbation atlas,
encompassing over 100 million cells treated with diverse drug
combinations, providing unprecedented insight into cellular responses
and drug mechanisms. Finally, scBaseCamp introduces AI-driven data
curation, creating an expansive, uniformly processed repository of
single-cell data that fuels robust computational modeling and
reproducibility. Together, these platforms represent a powerful
integrative framework, advancing our understanding of tumor biology and
enhancing precision therapeutic strategies through data-driven insights
and scalable AI technologies.

Host: Dr. Saeid Parast, Post-Doctoral Fellow, Biochemistry and Molecular Genetics, Shilatifard Lab