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Add-On Workshops
The 2024 AI in Health Conference will have three in-person workshops happening on September 9 and 12 for an additional $25 that can be purchased alone or in combination with conference tickets.
Workshop 1: Unpacking Digital Twins in Oncology – Challenges and Perspectives
Monday, September 9, 2024
12:30 pm (check-in) | 1:00 pm – 5:00 pm (workshop)
Auditorium
Digital twins have undergone a widespread development in multiple areas of engineering and medicine. In recent years, increasing success of computational models to predict the development of cancer and its response to treatments have demanding increasing attention to the translation of state-of-the-art digital twin techniques into clinical cancer healthcare. The overall goal of this workshop is to engage discussion about current challenges on the development and implementation of clinically practical digital twins in oncology, as well as to appreciate comprehensive perspectives from multiple stakeholders in cancer healthcare.
12:30-1:00 pm - Check-in
1:00-1:15 pm - Opening Remarks + Overview of IDSO (David Jaffray & Caroline Chung)
1:15-1:45 pm - Keynote (Gavin Lindberg)
1:45-2:30 pm - Panel Discussion | Perspectives from Stakeholders on Digital Twin Translation in Oncology (Carolynn Conley, Clifton D. Fuller, Gavin Lindberg, Amitabha Palmer, and Debu Tripathy)
2:30-2:50 pm - Break
2:50-3:35 pm - Panel Discussion | Major Challenges of Applying Digital Twins in Cancer Healthcare (Kristy Brock, Scott Kopetz, Aradhana Venkatesan, and Tom Yankeelov)
3:35-3:50 pm - Break
3:50-4:10 pm - Debate/Group Discussion | More or less? How Digital Twins Endorses Transparency and Understanding to Make Decision Under Uncertainty
4:10-4:30 pm - Lightning Talks
4:30 - 5:00 pm - Reception
Speakers:
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Kristy Brock, PhD — Professor, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center
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Caroline Chung, MD, MSc., FRCPC, CIP — VP and Chief Data Officer, Director of Data Science Development & Implementation at the Institute for Data Science in Oncology, Associate Professor of Radiation Oncology & Diagnostic Imaging, The University of Texas MD Anderson Cancer Center
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Carolynn Conley, PhD — Patient and Family Advisor Program, The University of Texas MD Anderson Cancer Center
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Clifton D. Fuller, MD, PhD — Professor, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center
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David A. Jaffray, BSc, PhD — SrVP and Chief Technology and Digital Officer, Director of Institute for Data Science in Oncology, Professor of Radiation Physics and Imaging Physics, The University of Texas MD Anderson Cancer Center
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Scott Kopetz, MD, PhD — Professor, Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center
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Gavin Lindberg, President & Co-Founder, The EVAN Foundation
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Amitabha Palmer, PhD, HEC-C — Assistant Professor, Clinical Ethicist, Center for Clinical Ethics in Cancer Care, The University of Texas MD Anderson Cancer Center
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Debu Tripathy, MD — Professor and Chair, Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center
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Aradhana Venkatesan, MD — Professor, Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center
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Tom Yankeelov, PhD — Professor, Department of Biomedical Engineering, Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin
Organizers:
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Bissan Al-Lazikani, PhD, MBCS FRSB—Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center
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Heiko Enderling, PhD, FSMB — Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center
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Chengyue Wu, PhD — Department of Imaging Physics, The University of Texas MD Anderson Cancer Center
Workshop 2: NVIDIA Omniverse, Digital Twins, and Intro to LLMs
Thursday, September 12, 2024
8:30 am (check-in) | 9:00 am – 11:00 am (workshop)
Auditorium >> new location
1) NVIDIA Omniverse and Digital Twins – Building a Smart Hospital
Speaker:
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Robert Rios — Developer, Mark III Systems; Principal, Mark III Innovation
In this workshop, Mark III and NVIDIA will walk through the detailed step-by-step process of building a digital twin of rooms and sections of a smart hospital using NVIDIA’s Omniverse platform. In addition to 3D modeling with Omniverse and Omniverse-compatible apps like Blender, Maya, and USD Composer, this session will also touch on how to build connectors in Omniverse to pipe in data and telemetry, in addition to how to think about constructing teams to enable your institution to build digital twins, whether it be for smart hospitals or for research, clinical, or operational purposes.
2) Intro to Large Language Models: LLM Tutorial and Disease Diagnosis LLM Lab
Speaker
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Michaela Buchanan — Data Scientist, Mark III Systems
In this workshop we start by discussing what a large language model (LLM) is and some of the strengths and weaknesses of these models, looking at a handful of models and approaches. We cover the difference between pretraining and finetuning. Input processing is discussed by showing the steps of taking an input string and tokenizing it into input ids. QLoRa is presented as a means of greatly reducing computational requirements for LLM inference and finetuning. The concepts portion of the session concludes by discussing Hugging Face and their transformers library. The workshop starts with performing inference using the Hugging Face transformers library and the Falcon-7B-Instruct model. We then move to finetuning Falcon-7B-Instruct using the MedText dataset, where the goal is to take a prompt which describes symptoms of a medical issue and generate a diagnosis of the problem as well as steps to take to treat it.
Workshop 3: Patient Engagement and Equity in Health AI
Thursday, September 12, 2024
8:30 am (check-in) | 9:00 am – 11:30 am (workshop)
Room 280 >> new location
This workshop on Patient Engagement and Equity in Health AI will include a panel discussion on key ethical issues related to AI across sectors with emphasis on healthcare examples; ongoing efforts to develop AI regulation and governance at the national level in the United States; workforce development and implications for healthcare; and a special focus section on AI development in healthcare in partnership with community stakeholders to address ethical and social issues of AI in healthcare.
Speakers:
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Kirsten Ostherr, PhD, MPH - Gladys Louise Fox Professor of English, Director of Medical Humanities Research Institute, Rice University
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Rodrigo Ferreira, PhD - Assistant Teaching Professor of Computer Science, Faculty Scholar at The Baker Institute for Public Policy, Rice University
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Fred Oswald, PhD - Professor of Psychological Sciences, Herbert S. Autrey Chair in Social Sciences, Rice University; Member, National AI Advisory Committee (NAIAC)
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Grace Wickerson, MS - Health Equity Policy Manager, Federation of American Scientists