Geometric Deep Learning for Drug Discovery
Explore geometric deep learning techniques for drug discovery, covering graph neural networks, molecule generation, and retrosynthetic prediction. Gain insights into cutting-edge research and applications in pharmaceutical development.
Brain in a Dish - Advancing Understanding of Neurological Disorders
Explore neural engineering's advancements in understanding complex neurological disorders through brain-in-a-dish technology, intracellular sensors, and interdisciplinary collaboration.
Revolutionizing Medicine with Generative AI: From Data to Discovery
Explore the transformative potential of generative AI in medicine through this 24-minute conference talk delivered by Ali Mahdipour Shirayeh from Princess Margaret Cancer Center, University Health Network. Delve into the cutting-edge applications of AI t…
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.
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.
Automating Design of Molecules via Retrieval Augmented Generative Language Models - Broad Institute Machine Learning in Drug Discovery Symposium 2023
Explore automated molecule design using retrieval-augmented generative language models in drug discovery, presented by Andrew White from the University of Rochester.
AI in Drug Discovery: What Do We Need for Being Successful?
Explore AI's role in drug discovery with Sanofi-Aventis scientist Christoph Grebner, discussing key success factors and industry insights.
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.
Harnessing AI for Drug Discovery: From Property Prediction to Molecular Design
Explore AI's role in drug discovery, from property prediction to molecular design, with Pfizer's Head of Machine Learning Research.
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.
Foundation Models for Therapeutic Design and Treatment Prediction
Explore foundation models for therapeutic design and treatment prediction, focusing on novel insights in biomedical research and machine learning advancements.
Pipeline Research: New Therapies and Medications - Lecture 15
Explore pipeline research for innovative therapies and medications, focusing on development processes and potential breakthroughs in clinical treatments.
Computational Approaches and Methodologies in Proximity Induced Pharmacology
Explore computational approaches in proximity-induced pharmacology, focusing on PROTACS, structural analysis, and strategies for optimizing PROTAC screening and predicting activity.
Design and Development of Intracellular Paired Agent Imaging Molecules for Quantitative Assessment of Cancer Drug Target Availability
Explore intracellular paired agent imaging for assessing cancer drug target availability in live cells and tissues through innovative molecular design.
Computer-Driven Discovery of GPCR Ligands with New Chemotypes and Functional Selectivity
Explore computer-driven discovery of GPCR ligands, focusing on new chemotypes and functional selectivity. Learn structure-based techniques for rational ligand design and virtual screening.
New Technologies in MolSoft ICM: Neural Networks and Beyond
Explore cutting-edge neural networks and advanced technologies in molecular modeling with MolSoft ICM, enhancing your computational chemistry capabilities.
Cheminformatics-Driven Discovery of Hits for Neglected and Emerging Diseases - 2022
Explore AI-driven drug discovery for neglected diseases with Dr. Carolina Horta, focusing on computational methods and QSAR models for identifying new drug candidates.
Cheminformatics in Natural Product-Based Drug Discovery - 2022
Explore computational methods for predicting biological activities, metabolic fate, and toxicity of small molecules in natural product-based drug discovery.
How Molsoft Scarab Helped Fight COVID-19 in the UK
Explore how Molsoft Scarab contributed to COVID-19 research in the UK, presented by Oxford's Dr. Brian Marsden at MolSoft's User Group Meeting.