Explore how artificial intelligence can revolutionize clinical trials and precision medicine in this 56-minute Stanford University lecture by Ruishan Liu. Discover Trial Pathfinder, a computational framework that optimizes cancer trial designs through synthetic patient cohort simulations. Learn about inclusive criteria and data valuation techniques that benefit diverse patients and trial sponsors. Delve into methods for quantifying cancer therapy effectiveness in patients with specific mutations, demonstrating how large-scale real-world data analysis generates insights and hypotheses for precision oncology. Gain valuable knowledge on the intersection of machine learning and human disease applications, health, and genomics from this postdoctoral researcher's expertise in biomedical data science.
Overview
Syllabus
Intro
Al for Medicine
Al for Clinical Trials
Strict Eligibility is a Barrier to Trial Enrollment
How Clinical Trial Eligibility Criteria are Decided?
Trial Pathfinder
Shapley Analysis
Data-driven criteria enlarges pool of eligible patients while reducing HR
Relaxing threshold
Piloted by Roche to Guide Cancer Trial Design
Precision Medicine for Oncology
Implementation on real-world clinico-genomics data
Case Example: Mutation-Treatment Interactions
Systematic pan-cancer analysis of mutation-treatment interactions
Taught by
Stanford MedAI
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Reviews
5.0 rating, based on 6 Class Central reviews
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AI for clinical trials and precision medicine in the introduction all the concept about course are understand. The whole course is what included are clearly given. AI in medicine included stages of drug development then clinical trials and drug usage.Strict eligibility is the barrier for development
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This is the future of Clinical Trials. The presenter was highly knowledgeable, concise and responsive. Highly informative! Can't wait for the next presentation.
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This is too much fruitful session about the clinical trials I gain a lot of knowledge about the clinical practice and related the data
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The "AI for Clinical Trials and Precision Medicine" course offered by Stanford University is a transformative learning experience. This program expertly navigates the intersection of artificial intelligence and healthcare, providing valuable insights into how AI can revolutionize clinical trials and precision medicine. The comprehensive curriculum delves into the latest AI technologies and their applications in healthcare, equipping learners with the knowledge and skills to drive innovation in the field. With a stellar faculty and engaging content, this course is a must for anyone looking to stay at the forefront of healthcare advancements. Highly recommended for both aspiring and seasoned professionals in the healthcare industry.
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Yogesh SurateGreat course to understand AI and it's future in clinical trials. Short but a powerful course as always recommended by the site. -
It was too good. I love the session. I have developed some more knowledge in AI in pharma i just impress by the this session of AI in clinical trial.
