Mathematical Modelling of Premalignant and Disease Phases of Acute Myeloid Leukemia to Accelerate the Preclinical Development of New Therapies
Explore mathematical models of acute myeloid leukemia phases to advance preclinical therapy development. Learn innovative approaches in cancer research.
Creating the World's Premier Biological Foundation Model
Explore Recursion's groundbreaking biological foundation model, revolutionizing drug discovery through advanced infrastructure, data management, and large-scale training techniques.
NextGen Genomic Medicine - Making Variants of Unknown Significance Obsolete
Explore cutting-edge genomic medicine and its impact on understanding genetic variants. Learn how advanced techniques are revolutionizing the interpretation of previously unknown genetic variations in cardiovascular health.
New Perspectives on Diabetes: The Many Subtypes of Type 2
Explore genetic insights into type 2 diabetes subtypes, their implications for patient care, and future research directions in this comprehensive discussion.
Beyond Cells: The Importance of Gene Programs and Tissue Context
Explore gene programs and tissue context beyond individual cells, uncovering novel insights into pressing biomedical questions through advanced machine learning techniques.
Advancing the Toolchain for Interpreting Human Genetic Variation Using Deep Learning and Single-Cell Genomics
Explore deep learning and single-cell genomics tools for interpreting human genetic variation with Oliver Stegle from EMBL and DKFZ.
A Practical Guide to Bulk RNA-seq, Including Guidelines for eQTL Analysis - 2024
Explore practical bulk RNA-seq techniques and eQTL analysis guidelines in this comprehensive guide for medical and population genetics researchers.
Diffusion Models Towards High-Dimensional Generative Optimization
Explore diffusion models for high-dimensional generative optimization in AI, focusing on biomedical applications and machine learning advancements.
From Theory to Therapy: Advancing Clinical Care with AI Innovations
Explore AI innovations advancing clinical care, from theoretical foundations to practical therapeutic applications in biomedical research and healthcare.
SPLASH: Ultraefficient Statistics-First Analysis of Raw Sequencing Data - Lecture
Explore SPLASH, a revolutionary statistics-first approach for genomic analysis without reference genomes. Discover its efficiency in detecting diverse genetic mechanisms and its potential to transform genomic research and discovery.
Models, Inference and Algorithms - Lightning Talks
Explore cutting-edge research in models, inference, and algorithms through lightning talks by five postdoctoral researchers at the Broad Institute of MIT and Harvard.
MPG Primer: Understanding Single Cell ATAC-Seq Data Analysis (2024)
Explore single-cell ATAC-seq data analysis, covering key concepts, workflow, quality control, and downstream analysis techniques for epigenomic profiling at cellular resolution.
Machine Learning in the Optimization and Discovery Loop
Explore machine learning's role in optimization and discovery with Andreas Krause. Gain insights into biomedical applications and foundational ML advances in this joint colloquium series.
MPG Primer: Rare Variant Interpretation - 2024
Explore rare variant interpretation in genetics, covering basic principles, analysis methods, and implications for understanding human diseases and populations.
PheWAS and UKBB in Medical and Population Genetics - 2024 MPG Primer
Explore phenome-wide association studies (PheWAS) and UK Biobank (UKBB) applications in medical and population genetics, focusing on complex trait analysis and large-scale genomic data.
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.
Data Thinning to Avoid Double Dipping in Statistical Analysis - Lecture 1
Explore data thinning techniques to prevent double dipping in statistical analysis, with applications in single-cell RNA sequencing and unsupervised learning problems.
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.
Causal Representation Learning Through Multi-Modal Data Integration
Explore causal representation learning techniques for integrating multi-modal data in this workshop by Caroline Uhler from MIT and Broad Institute.