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Explore interpretable machine learning techniques for model oversight and gaining valuable insights with Finale Doshi-Velez in this colloquium on AI applications in biomedicine.
Explore AI's role in drug discovery with Sanofi-Aventis scientist Christoph Grebner, discussing key success factors and industry insights.
Explore data-driven approaches to decode biology and revolutionize drug discovery with insights from Recursion's AI and Digital Sciences expert.
Explore machine learning applications in drug discovery with Daphne Koller's keynote on translatable targets and biomarkers at the Broad Institute Symposium.
Explore AI's role in drug discovery, from property prediction to molecular design, with Pfizer's Head of Machine Learning Research.
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.
Explore automated molecule design using retrieval-augmented generative language models in drug discovery, presented by Andrew White from the University of Rochester.
Explore AI-driven drug design techniques for optimizing pharmacokinetics and ADME with Novartis Principal Scientist Raquel RodrÃguez Pérez at the Broad Institute symposium.
Explore programmable generative protein design with Gevorg Grigoryan, CTO of Generate Biomedicines, in this symposium talk on machine learning in drug discovery.
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.
Domine a arte da negociação com princÃpios essenciais para se tornar um negociador mais eficaz, apresentado por Anselmo Cassiano Alves.
Explore strain-level dynamics of gut microbiome colonization and transmission, focusing on ecological barriers and the impact of antibiotic perturbations on community composition and stability.
Explore GRouNdGAN for simulating single-cell RNA-seq data and learn about CausalGANs for gene regulatory network analysis and in-silico perturbation experiments.
Explore deep learning models in biology, from curating meaningful pre-training data to disentangling experimental noise, enhancing performance in biomedical imaging and high-throughput microscopy experiments.
Dive into the latest perspectives on Genome-Wide Association Studies (GWAS) in this comprehensive primer, exploring advanced techniques and applications in medical and population genetics.
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