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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.
Explore single-cell proteomics methods for decoding biological functions through protein variation analysis, focusing on mass spectrometry innovations and data interpretation strategies.
Explore genetic insights into type 2 diabetes subtypes, their implications for patient care, and future research directions in this comprehensive discussion.
Explore gene programs and tissue context beyond individual cells, uncovering novel insights into pressing biomedical questions through advanced machine learning techniques.
Explore polygenic prediction across populations, examining ancestry, genetic architecture, and methodological considerations for improved understanding of complex trait genetics.
Explore deep end-to-end causal inference and discover its applications in data-driven decision-making across various domains. Learn about causal discovery, inference, and the Microsoft causal AI suite.
Explore fine-mapping techniques in genetics, covering basic principles, statistical methods, and applications in identifying causal variants for complex traits and diseases.
Explore the design and application of covalent binding small molecule probes for enzyme monitoring, with focus on cancer and infectious disease imaging and therapy targets.
Explore genetic constraint calculation and rare variation modeling techniques for understanding human population genetics and disease mechanisms.
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