All seminars are held at the University Center Tower 7000 Fannin Street, 6th floor (UCT E-612 & E-614), Houston, TX 77030 at 12 p.m. (noon) CT. Seminar viewers and attendees are encouraged to fill out the seminar survey.
All seminars are archived on the Seminar Archive page.
View live and online at go.uth.edu/LiveSeminar.
Research Seminars Innovation Seminars
MCWILLIAMS SEMINAR SCHEDULE | |||
Date | Speaker | Advisor | Topic |
1/10/2024 | Sirui Ding, PhD | Towards Precise and Equitable Organ Transplant with Machine Learning | |
1/17/2024 | Nevine Labib, PhD | Empowering Women's Health using AI | |
1/24/2024 | Xubing Hao | Licong Cui, PhD | Identification of potential missing concepts in SNOMED CT |
1/31/2024 | Rui Zhang, PhD | AI for Advancing Cancer, Nutrition and Aging Research | |
2/7/2024 | Yan Hu / Yuntao Yang | Xiaoqian Jiang, PhD /Wenjin (Jim) Zheng, PhD | Section-specific Annotation of PICO for Medical Evidence Extraction / Elucidating the role of SMARCB1 in bladder cancer progression through RNA-Seq data analysis |
2/14/2024 | Jeritt Thayer | Amy Franklin, PhD | Triangulating access patterns to capture context of clinical content |
2/21/2024 | Xiaotian Ma / Yao-Shun Chuang | Xiaoqian Jiang, PhD | Deep learning to predict rapid progression of Alzheimer’s disease from pooled clinical trials / Evaluating privacy breach in synthetic clinical notes produced by LLMs |
2/28/2024 | Yaobin Ling / Kaichen Tang | Xiaoqian Jiang, PhD | An Interpretable Causal Clustering Framework to Identify Responsive Subgroups from Clinical Trials / Automating stroke patient tele-rehabilitation evaluation and maladaptive action detection using single-site camera |
3/6/2024 | Yiming Li / Xu Zuo | Licong Cui, PhD / Kirk Roberts, PhD | AE-GPT: Using Large Language Models to Extract Adverse Events from Surveillance Reports-A Use Case with Influenza Vaccine Adverse Events / Identifying Genomic Data Sources from Biomedical |
3/13/2024 | Pora Kim, PhD | FusionNW, a potential clinical impact assessment of kinases in pan-cancer fusion gene network | |
Spring Break 2024 | |||
3/27/2024 | Ivan Coronado | Luca Giancardo, PhD | Discovery of Cardiovascular Biomarkers Using Retinal Imaging and Vasculature-Specific Deep Learning |
4/3/2024 | Tongtong Huang / Apollo McOwiti | Xiaoqian Jiang, PhD | Reduction of low-yield blood panel tests / Identification and classification of analytic features used in signaling unwarranted clinical variation |
4/10/2024 | Rongbin Li / Yan Chu | Wenjin (Jim) Zheng, PhD / Degui Zhi, PhD | Large Language Model Enhancing Drug Combination Prediction / TBA |
4/17/2024 | Morgan Foreman / Alan Pan | Amy Franklin, PhD / Xiaoqian Jiang, PhD | A Culturally Tailored Framework for Improving Patient Activation with Digital Solutions: Supporting Black Pregnant Women with Hypertensive Disorders / Establishing a Multi-Modal Framework for Evaluating Stroke Systems of Care: Prediction of Sequential Patterns in Post-Acute Transitions of Care and Outcomes among Ischemic Stroke Survivors |
4/24/2024 | Jiajie Zhang, PhD | State of the School |
Updated: 03/11/2024