Inferring Phylogeny and Function from Different Sequence Spaces
Explore phylogeny and function inference using diverse sequence spaces, led by Alessandra Carbone from CNRS and Sorbonne Université.
Probabilistic Machine Learning in Bioinformatics
Explore probabilistic machine learning applications in bioinformatics, focusing on cutting-edge techniques and their impact on biological data analysis.
On Clustering scRNA-seq Data
Explore challenges and strategies in clustering single-cell RNA sequencing data, focusing on the k-cluster method's effectiveness for analyzing neuronal datasets in fruit flies.
Targeting Macrophages to Improve Glioblastoma Treatment Outcomes
Explore innovative strategies for enhancing glioblastoma treatment by focusing on macrophage targeting, presented by Morgan Craig from Sainte-Justine Hospital and Université de Montréal.
Discriminative Classification with Incomplete Data - Lecture
Explore advanced discriminative classification techniques for structured data with missing information, focusing on maximum entropy principles and large margin methods for robust decision-making.
Single-Cell Analysis in the Age of Large Language Models
Explore how biological systems communicate like language, focusing on LLM applications in single-cell analysis, cytokine interactions, and cellular behavior prediction through innovative computational approaches.
AlphaFold and Beyond - How AI and Data Science are Revolutionizing Biology
Explore AI's impact on biology, focusing on AlphaFold's protein structure prediction and advancements in health data science and genomics with Professor Tim Hubbard.
Pathogen Discovery - Bioinformatics Tools
Explore bioinformatics tools for pathogen discovery in this talk on emerging infectious diseases, focusing on ecological and evolutionary aspects of disease dynamics.
Computational Modeling of Tumor Microenvironment: A Cancer Hallmarks Perspective
Explore computational modeling of tumor microenvironments through cancer hallmarks, gaining insights into advanced oncology research techniques and their applications.
Metabolism Meets Machine Learning: Computational Metabolomics
Explore computational metabolomics, combining metabolism and machine learning. Discover metabolite measurement, data analysis, and future directions in biomedical science.
From Trajectories to Models: Data-Driven Approaches to Decipher the Dynamics of Living Systems
Explore data-driven methods for deciphering living systems' dynamics, focusing on transforming trajectories into models for deeper biological insights.
Quantitative Foundations of Ecological and Evolutionary Dynamics - Class 02
Explore quantitative foundations of ecology and evolution through advanced mathematical concepts and modeling techniques in this comprehensive lecture.
Quantitative Foundations of Ecological and Evolutionary Dynamics - Class 01
Explore quantitative foundations of ecology and evolution with Joshua Weitz, covering key concepts and mathematical approaches for understanding complex biological systems.
Flash Talks - São Paulo Meeting on Soft and Biological Matter
Explore cutting-edge research in soft and biological matter through flash talks by international experts. Gain insights into diverse topics and latest advancements in the field.
Active Matter Models of Mechanobiology - Lecture 3
Explore advanced active matter models in mechanobiology, focusing on cutting-edge research and applications in biological systems.
Biosystems and Human Performance Computing in the AI Revolution
Explore AI's impact on workforce and warfare, focusing on biosystems for optimizing human performance in complex environments through computational biology and XR technologies.
The Geometry of Decision-Making
Explore the fascinating geometry of decision-making in animal behavior with Prof. Iain Couzin's insightful lecture on collective intelligence and movement.
Computational Methods of Structural Bioinformatics in Studies of Protein-Nucleic Recognition
Explore computational methods in structural bioinformatics, focusing on protein-nucleic recognition mechanisms and their applications in DNA physics through advanced analytical approaches.
Diffusion Probabilistic Modeling of Protein Backbones in 3D for Motif-Scaffolding
Explore diffusion probabilistic modeling for protein backbone design, focusing on motif-scaffolding applications. Learn about SMCDiff algorithm, E(3)-equivariant graph neural networks, and diverse scaffold generation.
An Open MetaGenomic Corpus for Mixed-Modality Genomic Language Modeling
Explore the Open MetaGenomic corpus for genomic language modeling, featuring 3.1T base pairs and 3.3B protein coding sequences. Learn about mixed-modality approaches and their impact on AI for drug discovery.
Bi-directional Lessons Between Traditional Evolutionary Biology and Cancer
Explore evolutionary biology's impact on cancer research and vice versa, uncovering insights that bridge these interconnected fields.