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From Models to Medicines - Delivering on the Promise of AI-Driven Drug Discovery
Discover how AI transforms drug discovery from computational models to real medicines through cutting-edge machine learning applications in pharmaceutical research.
Real-World Evidence in the Age of Generative AI
Explore how generative AI and large language models revolutionize real-world evidence generation in biomedical research, structuring data and connecting multiple modalities.
AI for Cardiac Image Acquisition, Analysis, and Interpretation
Explore how AI transforms cardiac imaging through advanced acquisition, analysis, and interpretation techniques for early disease detection and personalized diagnosis.
Generative Models for Text and Images - Development and Evaluation
Explore generative AI models for text and images in healthcare, covering development techniques and evaluation methods from Stanford's medical imaging expert.
Personalized Inference from Randomized Clinical Trials to Real-World Care
Discover how machine learning transforms randomized clinical trials into personalized precision medicine tools for real-world cardiovascular care applications.
Self-Supervised Learning for Patient Phenotyping and Forecasting Adverse Events
Explore self-supervised learning techniques for patient phenotyping and predicting adverse medical events with MIT's Collin Stultz in this ML4H presentation.
Foundation Models in Healthcare - Reinventing the Eye Exam
Discover RETFound, a groundbreaking foundation model trained on 1.6M retinal images using self-supervised learning to revolutionize ophthalmology diagnostics and screening.
Building Generative Video Agents with Google ADK, Veo 3, and Nano Banana
Master building sophisticated generative video agents using Google's ADK, Veo 3, and Nano Banana to automate entire video production pipelines for creative storytelling and marketing.
Empowering Biomedical Discovery with AI Scientists
Discover how AI scientists are revolutionizing biomedical discovery and drug development through cutting-edge machine learning applications in this Harvard Medical School presentation.
Developing, Validating and Deploying an AI Model to Exceed Clinical Expertise
Explore deep learning's transformative potential in cardiac imaging through real-world clinical trials and AI deployment strategies in cardiology practice.
Infra-as-Code Meets Prompt Engineering - AI-Powered Terraform Workflows
Discover how AI-powered prompt engineering transforms Terraform workflows, from generating code to troubleshooting infrastructure with live demos and practical techniques.
Build AI Apps with Genkit Go
Master AI integration in Go applications using Google's Genkit framework with type-safety, observability, and model-agnostic design for scalable production solutions.