
AI for Clinical Trials and Precision Medicine - Ruishan Liu
Stanford University via YouTube
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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
Tags
Reviews
4.9 rating, based on 10 Class Central reviews
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This course was highly informative and beneficial for those interested in the intersection of AI and healthcare. It provided valuable insights into the future of clinical trials and precision medicine. With a few improvements, such as more hands-on practice, it could be even more impactful.
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Very interesting however I am not a statistician. The AI field in medicine or oncology needs inputs from all the stakeholders involved in the clinical trials. The transparency of datasets and algorithms made the lecture more interesting and informative.
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Great session, gained lot of insights on how AI can play key role in clinical trials and Precision medicine. The session was too nice in terms of explanation and QNA part. Happy to learn✨
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The course was actually nice and I learnt about clinical AI and how it is used and precision medicine by Ruishan Liu thank you so much for the valuable session
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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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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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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.
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Great course to understand AI and it's future in clinical trials. Short but a powerful course as always recommended by the site.