קורסים
18744 קורסים
RAG in Generative AI Explained Simply - How AI Finds Correct Answers
Discover how Retrieval-Augmented Generation (RAG) enhances AI accuracy by combining information retrieval with generative models to provide reliable, contextual answers.
Artificial Intelligence in Healthcare - Applications, Challenges and Opportunities
Explore AI's transformative potential in healthcare through real-world applications, implementation challenges, and future opportunities with expert insights from clinical practice.
Machine Learning in Drug Discovery - Lightning Talks
Discover cutting-edge AI applications in drug discovery through rapid-fire presentations on conversational platforms, protein stability prediction, genomic models, and high-throughput synthesis.
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.
Building Agentic AI Workloads - Crash Course
Master agentic AI systems through hands-on Python development, exploring LLM-powered agents, architectural patterns, memory systems, and evaluation methods for dynamic task execution.
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.