2025 ISL Student Poster Day and Keynote Presentation

2025_ISL_Poster Day_flyer_article
February 13, 2025

We are excited to announce the 2025 ISL Student Poster Day, which will be held at 12 PM Tuesday March 18, 2025 at the Claude Pepper Center (636 W Call St, Tallahassee, FL 32306). This year we are thrilled to have Dr. Rui Zhang, Professor and Founding Chief, Division of Computational Health Sciences, University of Minnesota with us and give a keynote at the event.

The schedule of the 2025 ISL Student Poster Day (March 18, 2025) is:
12 PM – 1 PM: Keynote by Dr. Rui Zhang (at Broad Auditorium)
1 PM – 2 PM: Poster presentations by graduate students (at the atrium of the Pepper Center)
2 PM –  2:20 PM: Award Presentations

Keynote:
Title:
 The Future of Health Science: Impact of Artificial Intelligence and Larger Language Models Advancing on Nutrition, Aging, and Cancer Research

Speaker:  Rui Zhang, PhD, FACMI, FAMIAProfessor and Founding Chief, Division of Computational Health Sciences, University of Minnesota

Bio: Dr. Zhang is Professor and Founding Chief of Division of Computational Health Sciences in the Medical School at the University of Minnesota. He is named as McKnight Presidential Fellow (a distinguished professorship). He hold several leadership roles, including  co-Chair of AI and Data science for Healthcare (AID-H) working group within the UMN’s Data Science Initiative, and Scientific co-Director of Innovative Methods & Data Science (IMDS) program at the Center for Learning Health System Sciences, the Director of Natural Language Processing/Information Extraction (NLP/IE) research program in the Institute for Health Informatics, and previously Director of NLP at UMN’s Clinical and Translational Science Institute. Dr. Zhang’s research is at the forefront of integrating novel artificial intelligence (AI) with healthcare, focusing on analyze multi-modal biomedical big data, including electronic health records, biomedical literature, patient-generated data, and biomedical knowledge bases. His research has been fully supported by multiple National Institutes of Health (NIH) grants with a total cost over $20 million as a Principal Investigator, focusing on transformative AI projects such as mining safety use of dietary supplements (two NCCIH R01s), discovering drug repurposing of Alzheimer’s disease (NIA R01), predicting breast cancer treatment related cardiotoxicity (NCI R01), identifying medical language bias in kidney transplantation (NIDDK R01), minority-enriched risk predictive models on All of Us data (NIHMD R21) and LLM to develop knowledge graph on complementary and integrative health (NCCIH U01). Dr. Zhang’s research has paved the way for groundbreaking advancement in personalized medicine in multiple clinical domains to better patient care. His work has been recognized on a national scale including Journal of Biomedical Informatics Editor’s Choice, nominated for Distinguished paper in American Medical Informatics Association (AMIA) Annual Symposium and Marco Ramoni Distinguished Paper Award for Translational Bioinformatics, reported by The Wall Street Journal, and interviewed by CBS News. Dr. Zhang was inducted to Fellow of American College of Medical Informatics (FACMI) in recognition of his significant and sustained contributions to the field of biomedical informatics. He is also Fellow of AMIA and the current Chair of AMIA Natural Language Processing (NLP) Working Group.

Talk Details: In this seminar, Dr. Zhang will provide an overview of his ongoing research projects aimed at advancing clinical research across various domains developing innovative artificial intelligence (AI) methods. Focusing on the nutrition domain, the seminar will delve into Dr. Zhang's foundational work in establishing a terminology, knowledge base and AI methodologies employed to extract efficacy and safety information from diverse sources, contributing to a comprehensive understanding of dietary supplement safety. In the aging domain, Dr. Zhang will discuss the applications of AI to repurpose Complementary and Integrative Health (CIH) approaches for Alzheimer's disease. Shifting to the cancer domain, Dr. Zhang will introduce cancer-domain language models developed to extract cancer phenotypes. This advancement holds significant implications for predicting cardiotoxicity related to cancer treatment. Additionally, the seminar will also highlight their recent work advancing large language models on various biomedical informatics and clinical tasks. 

To RVSP for the keynote, please visit here.
(Zoom option may be available given needs)

Student Poster Presentations:

After the keynote, graduate students working with ISL Faculty Affiliates can compete in the annual ISL Student Poster Day competition. In the competition, graduate students will present their posters, explain their research, and take questions from other graduate students, faculty and a three-judge panel. We are calling for participation in this event to be held at 1 PM on March 18, 2025 in the Claude Pepper Center. Registered and confirmed students will bring their own poster (48 x 36 inch or smaller) to the Claude Pepper before the event. Judges will select a winner of the event. More details will be communicated separately soon.

To present a poster, please register here.