TITLE: Topics in Neurogenomics: Using AI to Study Endophenotypes & then Having it Take Over ABSTRACT: This talk explores the use of AI to study and eventually drive neurogenomics research. It covers linking wearable-derived "digital phenotypes" to genotype for conditions like ADHD, showing this approach uncovers SNPs missed by traditional case-control GWAS. It then examines single-cell data (e.g., PsychENCODE's 388-brain dataset) to build cell-type-specific regulatory and cell-to-cell communication networks, integrating them into deep learning models that predict disease from genotype and suggest drug targets. Finally, it turns to having AI do the science itself — automatically generating bioinformatics code, coordinating multi-agent LLM systems for unified reasoning, and considering the future risks of AI scientists in biomedicine. eur26+CRG
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