This course explores how AI can optimize cancer trial designs and generate hypotheses for precision medicine. The learning outcomes include understanding Trial Pathfinder for inclusive trial criteria and data valuation, quantifying cancer therapy effectiveness in patients with specific mutations, and leveraging computational analysis for precision oncology insights. The course teaches skills such as using AI for clinical trials, data-driven criteria development, and analyzing mutation-treatment interactions. The teaching method includes lectures, case examples, and interactive discussions. The intended audience is individuals interested in AI applications in healthcare, clinical trial design, and precision medicine.
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 3 Class Central reviews
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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.
