Introduction
Jake Y. Chen, Ph.D.
Professor of Genetics and Computer Science, Informatics Institute, University of Alabama at Birmingham
Keynote Speech
“Building a Mind for Cancer”
Trey Ideker, Ph.D.
Professor of Medicine, Bioengineering, and Computer Science, University of California San Diego
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.D
Vice Chair of Innovation and Radiology, 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 for Precision Medicine“
Matthew Might, Ph.D.
Director of Hugh Kaul Precision Medicine Institute, University of Alabama at Birmingham
“AI.MED: Rethinking Drug Discovery Approaches with AI“
Jake Y. Chen, Ph.D.
Professor of Genetics and Computer Science, Informatics Institute, 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
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 Schmidt
Department of Radiology, Biomedical Engineering, University of Alabama at Birmingham
Poster Session
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
“Predicting Chemical Toxicity by Applying a Hierarchical Bayesian Approach with Priors to the Tox21 Assay Data“
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
“GeneTerrain: A Interactive Platform for Visual Exploration of Genes and Gene Networks for Complex Disease Studies“
Ehsan Saghapour
Postdoctoral Fellow, University of Alabama at Birmingham
“UAB Biological Data Sciences (U-BDS) Core Delivers Accessible Computational Resources to the UAB Research Community”
Bharat Mishra
Genetics Research Division, University of Alabama at Birmingham
“Opportunities for Deep Learning Applications on High Order Chromatin Interactions“
Justin Bridges
Department of Biomedical Engineering, University of Alabama at Birmingham
“A Machine Learning Model to Evaluate the Association between the Tumor Microenvironment and Neighborhood Deprivation in Black and White Women with Triple Negative Breast Cancer”
Muhammed Lafith Mattara
School of Health Professions, University of Alabama at Birmingham
Tutorial Session
“Large Language Models in AI: What’s New About ChatGPT?“
John Osborne, Ph.D.
Associate Professor of Medicine and Computer Science, Informatics Institute, University of Alabama at Birmingham
Learning Objectives
- Understand what a language model is
- Obtain a high-level understanding of transformers and the attention mechanism which underly modern large language models including ChatGPT
- Understand how Reinforcement Learning with Human Feedback (RLHF) works with a focus on OpenAI models like ChatGPT and InstructGPT, including the resources available to build your own models
- Get an overview of future trends in language model applications and development
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
Closing Remarks
James J. Cimino, M.D.
Distinguished Professor of Medicine, Director, Informatics Institute, University of Alabama at Birmingham
Poster Awards/Networking Session
- Co-hosted by the UAB Informatics Club
Judges for Poster Session
Amy Y. Wang, MD, MBI, Chair, Judging Committee
Associate Professor of Medicine, Division of General Internal Medicine
Scientist, Informatics Institute
Heersink School of Medicine
University of Alabama at Birmingham
Karim I. Budhwani
CEO-Scientist, CerFlux, Inc.
Visiting Scientist, Hugh Kaul Precision Medicine Institute at UAB
Heersink School of Medicine
University of Alabama at Birmingham
Da Yan, Ph.D.
Assistant Professor
Department of Computer Science
University of Alabama at Birmingham
Chen Huang, Ph.D.
Assistant Professor of Genetics
Heersink School of Medicine
University of Alabama at Birmingham
Richard Kennedy, Ph.D.
Associate Professor of Medicine, Division of Gerontology, Geriatrics, and Palliative Care
Heersink School of Medicine
University of Alabama at Birmingham
Keren Li, Ph.D.
Assistant Professor of Mathematics
University of Alabama at Birmingham
Alexander “Craig” Mackinnon Jr., M.D., Ph.D.
Professor of Pathology
Director, Division of Genomics Diagnostics and Bioinformatics
Department of Pathology
Heersink School of Medicine
University of Alabama at Birmingham
Andrew D. Smith, MD, Ph.D.
Professor, VC of Innovation, Co-Director AI, Chief of CT – Radiology
Clinical Director of AI – Marnix E. Heersink Institute for Biomedical Innovation
Director of the Human Imaging Core Lab
Heersink School of Medicine
University of Alabama at Birmingham
Ferhat Zengul, Ph.D., MBA, MAcc
Associate Professor, Health Services Administration
School of Health Professions
University of Alabama at Birmingham
Sixue Zhang, Ph.D.
Head of Computer-Aided Drug Discovery (CADD), Scientific Platforms
Southern Research
