Unsupervised Viral Antibody Escape Prediction for Future-Proof Vaccines - Lecture
Explore unsupervised viral antibody escape prediction for future-proof vaccines. Learn about EVEscape model integrating fitness predictions, structure-based features, and biochemical distances to quantify viral escape potential at scale.
Dissecting Cell Identity via Network Inference and In Silico Gene Perturbation
Explore CellOracle, a machine learning tool for analyzing cell identity through transcription factor regulation. Learn its applications in hematopoiesis, embryogenesis, and cellular reprogramming.
Protein Design with Generative Diffusion Models
Explore generative diffusion models for protein design, covering theoretical foundations and applications in sequence and structure generation for optimized engineering and biological insights.
AI-Driven Drug Design: Optimizing Pharmacokinetics and ADME
Explore AI-driven drug design techniques for optimizing pharmacokinetics and ADME with Novartis Principal Scientist Raquel Rodríguez Pérez at the Broad Institute symposium.
Programmable Generative Protein Design - Machine Learning in Drug Discovery
Explore programmable generative protein design with Gevorg Grigoryan, CTO of Generate Biomedicines, in this symposium talk on machine learning in drug discovery.
Genetic Diversity in Cell Line Models and CRISPR Experimental Tools - Equity in Biomedicine
Explore genetic diversity's impact on cell line models and CRISPR tools. Learn how increasing diversity enhances scientific insights and translational benefits for equitable biomedical research.
Automating Design of Molecules via Retrieval Augmented Generative Language Models - Broad Institute Machine Learning in Drug Discovery Symposium 2023
Explore automated molecule design using retrieval-augmented generative language models in drug discovery, presented by Andrew White from the University of Rochester.
Interpretable Clustering of Single-Cell Transcriptomes - NNFC Workshop
Explore interpretable clustering techniques for single-cell transcriptomes with Jesper Madsen, enhancing understanding of genomic mechanisms and data integration.
Scaling V2F for Metabolic Disease - Part 2
Explore scaling variant-to-function approaches for metabolic disease research with insights from a leading genomics expert at the Broad Institute.
Medical and Population Genetics Primer: All of Us Research Program - Part 1
Explore the basics of medical and population genetics, covering human genetic variation, genotyping, and DNA sequencing methods in this informative primer series.
Inclusive Genomics: Exploring Genetic Variations in Neglected Populations and Sex Chromosomes
Explore genetic variations in neglected populations and sex chromosomes with Marla Mendes' insights on inclusive genomics.
gnomAD v4: Behind the Scenes
Explore the creation, processing, and quality control of gnomAD v4, a comprehensive genomic database, with insights into variant quality and intolerance analysis.
Basics of Gene Editing and CRISPR - 2023 MPG Primer
Explore gene editing fundamentals, focusing on CRISPR technology. Learn about its origins, mechanisms, applications in human and mammalian cells, and potential therapeutic uses in various diseases.
Clinical Variant and Gene Classification - MPG Primer 2023
Explore clinical variant and gene classification with expert Heidi Rehm. Gain insights into complex trait genetics, human genetic variation, and data analysis techniques for medical and population genetics research.
Sequencing Technology Landscape and Current Offerings Overview - Broad Clinical Labs
Explore the sequencing technology landscape and current offerings in clinical labs, focusing on advancements and applications in medical and population genetics.
Interpretable Machine Learning for Model Oversight and Insight
Explore interpretable machine learning techniques for model oversight and gaining valuable insights with Finale Doshi-Velez in this colloquium on AI applications in biomedicine.
AI in Drug Discovery: What Do We Need for Being Successful?
Explore AI's role in drug discovery with Sanofi-Aventis scientist Christoph Grebner, discussing key success factors and industry insights.
Decoding Biology with Data Abundance - Machine Learning in Drug Discovery
Explore data-driven approaches to decode biology and revolutionize drug discovery with insights from Recursion's AI and Digital Sciences expert.
Machine Learning for Discovery of Translatable Targets and Biomarkers - Keynote
Explore machine learning applications in drug discovery with Daphne Koller's keynote on translatable targets and biomarkers at the Broad Institute Symposium.
Harnessing AI for Drug Discovery: From Property Prediction to Molecular Design
Explore AI's role in drug discovery, from property prediction to molecular design, with Pfizer's Head of Machine Learning Research.
PROTPARDELLE: An All-Atom Protein Generative Model - Broad Institute Machine Learning in Drug Discovery Symposium 2023
Explore PROTPARDELLE, an all-atom protein generative model, presented by Stanford's Possu Huang at the Broad Institute's Machine Learning in Drug Discovery Symposium.