Decoding Evolutionary Information from Cancer Trees
Explore a 41-minute lecture on decoding evolutionary information from cancer trees, presented by Alison Feder from the University of Washington, Seattle. Delve into the intersection of oncology and evolutionary biology as part of the Thematic Program on…
Defining Selection in Somatic Evolution by Modeling Tumor-Stromal Interactions
Explore the complex dynamics of tumor-stromal interactions and their role in somatic evolution through a 35-minute lecture by David Basanta from Moffitt Cancer Center. Delve into the fascinating field of mathematical oncology as part of the Thematic Prog…
Mechanistic Learning Reveals Cell Fate Transitions Driving B-Cell Acute Lymphoblastic Leukemia Progression
Explore a 42-minute conference talk from the Fields Institute's Thematic Program on Mathematical Oncology, focusing on mechanistic learning in B-cell acute lymphoblastic leukemia. Delivered by Jeffrey West from Moffitt Cancer Center, the presentation del…
Fighting Drug Resistance with Math
Explore a compelling lecture on combating drug resistance through mathematical approaches. Delve into the innovative research presented by Doron Levy from the University of Maryland College Park as part of the Thematic Program on Mathematical Oncology. G…
Combining Machine Learning and Modeling Approaches to Forecasting Disease Progression
Explore innovative forecasting techniques for disease progression by integrating machine learning with modeling approaches in this cutting-edge presentation.
Quantifying Large-Scale Dynamics of Complex Molecular Assemblies
Explore quantitative methods for analyzing large-scale dynamics in complex molecular systems, focusing on advanced techniques and their applications in molecular biophysics.
Modeling the Genome: A View by a Physicist
Explore a physicist's perspective on genome modeling, blending molecular biophysics with computational approaches to unravel complex biological systems.
Protein Language Models - Lecture 13
Learn about protein language models and their applications in computational biology, exploring advanced techniques for analyzing and predicting protein structures and functions.
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.
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.
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.
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.
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.
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.
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.
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.
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.