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.
Organizers: Chengyue Wu, PhD, Department of Imaging Physics, UT MD Anderson Cancer Center Bissan Al-Lazikani, PhD, MBCS FRSB, Department of Genomic Medicine, UT MD Anderson Cancer Center Heiko Enderling, PhD, FSMB, Department of Radiation Oncology, UT MD Anderson Cancer Center
Monday September 9, 2024 1:00pm - 5:00pm CDT
Auditorium
Andrea Ramirez, M.D., M.S., is the chief data officer of the All of Us Research Program. In this role, she is centralizing data governance and analytics processes within the program. Andrea previously served as senior advisor to the chief executive officer at All of Us.Before joining... Read More →
Tuesday September 10, 2024 8:35am - 9:20am CDT
Auditorium
VHA Chief AI Officer, U.S. Department of Veterans Affairs; Director, VA National Artificial Intelligence Institute
Dr. Gil Alterovitz is the U.S. Department of Veterans Affairs’ VHA Chief AI Officer (VHA CAIO) and the Director of the VA National Artificial Intelligence Institute (NAII). He has a PhD in electrical and biomedical engineering from MIT. Throughout his career, Dr. Alterovitz has... Read More →
Tuesday September 10, 2024 9:20am - 10:05am CDT
Auditorium
Robert T. McCluskey Professor of Biomedical Informatics and Data Science, Vice Chair for Research and Development, Assistant Dean for Biomedical Informatics, Yale School of Medicine
Dr. Hua Xu is a well-known researcher in clinical natural language processing (NLP). He has developed novel algorithms for important clinical NLP tasks such as entity recognition and relation extraction, which have been top ranked in over a dozen of international biomedical NLP challenges... Read More →
Tuesday September 10, 2024 10:30am - 11:10am CDT
Auditorium
Assistant Professor of Computer Science and Neuroscience, The University of Texas at Austin
Alex Huth's research is focused on how the many different areas in the human brain work together to perform complex tasks such as understanding natural language. Alex uses and develops computational methods in Machine Learning and Bayesian Statistics, and obtain fMRI measures of brain... Read More →
Tuesday September 10, 2024 1:25pm - 2:05pm CDT
Auditorium
Assistant Professor of Neuroscience, Baylor College of Medicine; Assistant Professor of Electrical and Computer Engineering, Rice University
Ankit B. Patel is currently an Assistant Professor at the Baylor College of Medicine in the Dept. of Neuroscience, and at Rice University in the Dept. of Electrical and Computer Engineering. Ankit is broadly interested in the intersection between machine learning and computational... Read More →
Tuesday September 10, 2024 2:30pm - 2:55pm CDT
Auditorium
Associate Professor of Interactive Computing and Computer Science, Co-Director of the Center for Advancing Responsible Computing (CARE), Associate Director of Community Engaged Research, Brook Byers Institute for Sustainable Systems, Georgia Institute of Technology
Josiah Hester holds the Allchin Chair and is Associate Professor of Interactive Computing and Computer Science at Georgia Tech. He leads the newly formed Center for Advancing Responsible Computing (CARE) at Georgia Tech’s College of Computing. Josiah was previously at Northwestern... Read More →
Wednesday September 11, 2024 8:30am - 9:15am CDT
Auditorium
Associate Vice President, Digital Health, Texas A&M Health
Jim Colson serves as associate vice president of digital health at Texas A&M Health. As part of this role, Colson is responsible for identifying, implementing and deploying state-of-the-art digital health platforms that help the organization to realize the unbound opportunities and... Read More →
Dr. Velamuri is a board-certified Internal Medicine physician, residency at Baylor College of Medicine, before working as a hospitalist at CHI-St. Luke’s. He has served on process improvement, health informatics and patient safety committees at large hospitals in and around the... Read More →
Wednesday September 11, 2024 9:45am - 10:30am CDT
Auditorium
Sr. Program Manager for Product Development Research, Cancer Prevention & Research Institute of Texas (CPRIT)
Dr. Abria Magee is the Sr. Program Manager for Product Development Research at the Cancer Prevention and Research Institute of Texas (CPRIT). Dr. Magee manages a portfolio of over 50 oncology companies that have been awarded over $320 million in CPRIT funding. She is responsible for... Read More →
Wednesday September 11, 2024 1:00pm - 1:30pm CDT
Auditorium
PART 1: NVIDIA Omniverse and Digital Twins – Building a Smart Hospital Speaker: 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.
PART 2: Intro to Large Language Models: LLM Tutorial and Disease Diagnosis LLM Lab Speaker: 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.
Assistant Teaching Professor of Computer Science, Rice University
Rodrigo Ferreira is an Assistant Teaching Professor in Computer Science at Rice University, where he is responsible for the ethics in computer science curriculum. In this role, Rodrigo teaches courses on the ethics of computing, data science, and artificial intelligence, and develops... Read More →
Health Equity Policy Manager, Federation of American Scientists
Grace Wickerson is the Health Equity Policy Manager at the Federation of American Scientists. They work on embedding equity in health policies, with an eye towards leveraging data and technology as key tools for accelerating change. They are committed to ensuring technologies are... Read More →
Gladys Louise Fox Professor of English, Director of Medical Humanities Research Institute, Rice University
Kirsten Ostherr, PhD, MPH is the Gladys Louise Fox Professor of English and founding Director of the new Medical Humanities Research Institute, one of the only research institutes in the world that is solely dedicated to advancing translational research on human experiences of he... Read More →
Professor of Psychological Sciences, Herbert S. Autrey Chair in Social Sciences, Rice University
Fred Oswald is a Professor at Rice University. His research focuses on psychological tests (e.g., knowledge, motivation, interest) implemented in educational, employment, and military settings. He has spent over 25 years developing, statistically refining, and evaluating these tests... Read More →
Thursday September 12, 2024 9:00am - 11:30am CDT
Auditorium