AI in Drug Discovery

Explore how AI accelerates the drug discovery pipeline, from target identification and molecule generation to predicting drug efficacy and toxicity.

8 courses

AI-Powered Drug Discovery: Genomic Analysis Project

Apply machine learning concepts to analyze genomic sequences and identify potential therapeutic targets in this practical, text-based project course.

Generative AI for Drug Discovery and Protein Folding

Understand how generative neural networks and molecular graphs accelerate drug design and protein structure prediction through clear, written explanations.

Life Sciences Cloud and Agentforce for Pharma Innovation

Learn how to leverage Life Sciences Cloud and Agentforce to streamline pharmaceutical operations, improve patient engagement, and solve modern healthcare challenges.

Foundations of Computer-Aided Drug Design

Learn the core principles of molecular modeling, virtual screening, and structure-based drug discovery to design promising lead compounds.

AI in Drug Discovery and Development

Learn how machine learning and modern AI algorithms accelerate molecular design, predict drug properties, and streamline clinical trials.

AI in Drug Discovery: How Models Reshape the Path from Molecule to Medicine

Build a clear understanding of how AI is reshaping drug discovery, from target identification and molecule generation to efficacy and toxicity prediction.

Designing AI Workflows for Molecule Generation and Property Prediction

Walk through the practical design of AI workflows used in early drug discovery, from molecule generation to property and toxicity prediction.

AI in Pharma Operations: Integrating Discovery Models with Real Programs

Plan and operate AI-supported drug discovery inside real pharmaceutical programs, with focus on integration, decision making, and long-horizon governance.