Generative AI in Healthcare & Life Sciences Mastery

Instructor introduces Section, outlines lessons, and previews applications of GenAI in clinical practice.

Explains how AI models assist with risk prediction, treatment recommendations, and guideline adherence.

Discusses the benefits and dangers of using GenAI in clinical decision support.

Walkthrough of a real-world AI system reducing ICU mortality.

Overview of how AI reads imaging scans and pathology slides.

Demo of AI drafting a preliminary imaging report (e.g., chest X-ray summary).

Example of AI-assisted reporting reducing turnaround times.

Explains how AI drafts progress notes, discharge summaries, and billing codes.

Step-by-step demo showing a prompt generating a discharge note.

Covers virtual assistants that support patient triage, education, and follow-up.

Introduction to the section, key topics to be covered, and call to action.

Overview of how AI tools summarize PubMed articles, generate systematic reviews, and provide quick research insights.

Live demonstration of AI summarizing 3 abstracts into a concise literature review.

Covers potential pitfalls: hallucinations, missing context, and how to fact-check AI-generated summaries.

Explains AI use in trial protocol design, synthetic control arms, and participant matching.

Demonstrates how GenAI analyzes inclusion/exclusion criteria and suggests potential participant profiles.

Walkthrough of a real-world example where AI-supported trial design was regulatory-approved.

Introduces tools like AlphaFold, Atomwise, and Insilico for compound design and protein folding prediction.

Illustrates how AI suggests candidate molecules for screening.

Explains how AI identifies novel biomarkers from genomic and multi-omic data.

Introduction to the section, key topics to be covered, and call to action.

Overview of how AI tailors care plans using clinical and genetic data.

Walkthrough of a GenAI tool generating a sample personalized care plan (e.g., diabetes management).

Discussion of risks: bias, privacy, over-reliance on AI recommendations.

Explains how AI transforms medical jargon into plain-language education materials.

Shows how to prompt GenAI to generate a simple handout (e.g., wound care instructions).

Strategies for validating AI-created patient education resources.

Explains chatbot and virtual assistant use in triage, medication reminders, and lifestyle coaching.

Simulated conversation showing how AI guides patients with chronic conditions.

Highlights how wearables and AI-driven alerts support continuous patient care.