2024-2025
10/24/2025
Pharmaceutical Research in the Age of AI
Join us at these events to engage with the TRAIL community, expand your knowledge, and contribute to advancing the use of AI in medicine and public health.
10/31/2025
Name Affliation/Institution Email Talk Title/Topic Abstract Confirmed Date/Time Slides Received (Y/N, Date) Bio Bio/Photo Received (Y/N) Follow-up Reminders Haoda Fu Amgen hfu@amgen.com Pharmaceutical Research in the Age of AI AI is rapidly transforming
Advances in single-cell RNA sequencing and multimodal technologies have opened new opportunities for inferring gene networks and regulatory relationships in specific cell types, enriching our understanding of cell-type-specific biological functions. However, unique data characteristics such as sequencing depth variation, high data sparsity, and measurement error present significant challenges. In this talk, I will present two statistical methods that address these challenges. CS-CORE infers cell-type-specific gene co-expressions from scRNA-seq data and scMultiMap maps enhancer-gene pairs from paired scRNA-seq and scATAC-seq data. Both methods achieve accurate type-I error control, high reproducibility, scalability, and provide new insights into Alzheimer’s disease mechanisms.