Program

8:15 AM – 8:30 AM
Introduction by the Chair
Professor and Chief Bioinformatics Officer, UAB Informatics Institute

8:30 AM – 9:30 AM
Keynote Speech
Professor of Medicine, Bioengineering, and Computer Science, the University of California San Diego
9:30 AM – 9:45 AM
Coffee Break
9:45 AM – 11:00 AM
Technical Session
AI/ML Application in Biomedicine and Clinical Practice
Session Chair:
Chindo Hicks, Ph.D.
Professor of Genetics, Louisiana State University School of Medicine

AI for Opportunistic Screening on CT
Andrew Smith, M.D., Ph.DVice Chair of Innovation and Radiology, University of Alabama at Birmingham

AI for Precision Medicine
Matthew Might, Ph.D.Director of Hugh Kaul Precision Medicine Institute, University of Alabama at Birmingham

Radiogenomics and the Role of AI in Medical Imaging
Houman Sotoudeh, M.D.Director of Neuroradiology Clinical Research, Associate Professor of Neuroradiology and Neurology, University of Alabama at Birmingham

AI.MED: Rethinking Drug Discovery Approaches with AI
Jake Y. Chen, Ph.D.Chief Bioinformatics Officer, Informatics Institute, Professor, Genetics, Computer Science and Biomedical Engineering, University of Alabama at Birmingham

Integrating Artificial Intelligence for Antiviral Drug Discovery
Sixue Zhang, Ph.D.Head of Computer-Aided Drug Discovery, Scientific Platforms, Southern Research
11:00 AM – 12:00 PM
Application Flash Talk Session
Session Chair
Elliot Lefkowitz, Ph.D.
Professor, Department of Microbiology, University of Alabama at Birmingham

Analyzing Cardiac Single-cell RNA Sequencing Data by Auto Encoder
Thanh Nguyen, Ph.D.Postdoc Trainee, Department of Biomedical Engineering, University of Alabama at Birmingham

Avoiding the Artificial Ignorance Trap: Applying AI in Oncology Drug Response Prediction Wisely
Karim Budhwani, Ph.D.Hugh Kaul Precision Medicine Institute, University of Alabama at Birmingham

Promoting Interdisciplinary Research with AI and Big Data Infrastructure
Da Yan, Ph.D.
Assistant Professor, Department of Computer Science, University of Alabama at Birmingham
Drug SMILE Feature Extraction Tool for AI-based Drug Development
Rahul Sharma, Ph.D.
Informatics Institute, University of Alabama at Birmingham

A Machine Learning-Based Model to Predict Response to Neoadjuvant Chemotherapy in Patients with Triple-Negative Breast Cancer
Timothy Fisher, M.S.,Department of Biology, Georgia State University

Deep Learning-Based Automated Kidney and Cyst Segmentation for Patients Affected by ADPKD using Single vs. Multi-Institutional Data
Emma Kay SchmidtDepartment of Radiology, Biomedical Engineering, University of Alabama at Birmingham
12:00 PM – 1:30 PM
Posters over Lunch
Box lunch will be provided to those who prepay during registration
Session Chair: Amy Wang, M.D., MBI
Assistant Professor of Medicine and Family Community Medicine
Informatics Institute
University of Alabama at Birmingham
Machine Learning-Based Models To Predict Metastatic Clinical Outcomes Of Triple-Negative Breast Cancer Patients
Timothy Fisher, M.S.
Department of Biology, Georgia State University
Wenyu Zeng
Division of Preclinical Innovation, National Center for Advancing Translational Sciences – National Institutes of Health
Effect of Principal Component Analysis on UNet-Based Architecture for Automatic Segmentation of ADPKD Kidney and Cyst Segmentation
Chetana Krishnan
Department of Biomedical Engineering, University of Alabama at Birmingham
Mammonc-DB: A Web-based User-friendly Tool for Comprehensive Multi-omics Data Analysis in Breast Cancer
Santhosh Kumar Karthikeyan
Graduate of Biomedical Sciences, University of Alabama at Birmingham
Ehsan Saghapour
Postdoctoral Fellow, University of Alabama at Birmingham
Bharat Mishra
Genetics Research Division, University of Alabama at Birmingham
Justin Bridges
Department of Biomedical Engineering, University of Alabama at Birmingham
Muhammed Lafith Mattara
School of Health Professions, University of Alabama at Birmingham

1:30 PM – 3:00 PM Tutorial Session Large Language Models in AI: What’s New About ChatGPT?
John Osborne, Ph.D. Associate Professor of Medicine and Computer Science, UAB Informatics Institute3:00 PM – 3:15 PM Coffee Break
3:15 PM – 4:15 PM
Expert Panel Discussion
AI in Medicine: A 360 Approach to Organization
Moderator: Rubin Pillay, Ph.D.
Chief Innovation Officer, Heersink School of Medicine
Panelists:
- Matt Might, Ph.D., Director, Hugh Kaul Precision Medicine Institute
- Yuliang Zheng, Ph.D., Chair of the Department of Computer and Information Sciences
- Jake Y. Chen, Ph.D., Professor and Chief Bioinformatics Officer, UAB Informatics Institute

4:15 PM – 4:30 PM
Closing Remarks
James J. Cimino, M.D.
Distinguished Professor and Director, UAB Informatics Institute
4:30 PM – 6:00 PM
Social Networking Event
Refreshments will be provided, co-hosted by the UAB Informatics Club