Margaret Cameron Spain Auditorium – 620 19th St. S Birmingham, AL
And Virtually on Zoom
APRIL 21, 2023
8:00 AM - 6:00 PM

The UAB Informatics Institute and Center for Clinical and Translational Science invites you to attend the 7th Annual Translational and Transformative Informatics Symposium (ATTIS)! This year’s symposium will be held Friday, April 21 in person and virtually on Zoom.  As part of this year’s theme, “AI in Medicine and Healthcare, ” ATTIS 2023 intends to highlight the significant impact of artificial intelligence (AI) on the healthcare industry.

Recent advancements in AI technology are now being utilized as part of biomedical research, patient data analysis, and personalized treatment, leading to faster drug discovery and accurate diagnosis. With these new developments, AI has the potential to improve patient flow, reduce medical errors, increase management efficiency, and enable telemedicine, making healthcare services more accessible to patients from the comfort of their homes.

ATTIS will serve as a crucial technical and scientific forum for UAB and UAB-led CCTS participants to learn about recent advances, network with colleagues and trainees, while enhancing future research, training, and application in this critical scientific area.

Program Recording

Program

8:00 AM  – 8:15 AM
Seating

8:15 AM – 8:30 AM
Introduction by the Chair

Jake Y. Chen, Ph.D.
Professor of Genetics and Computer Science, Informatics Institute, University of Alabama at Birmingham 

8:30 AM – 9:30 AM 
Keynote Speech

Trey Ideker, Ph.D.
Professor of Medicine, Bioengineering, and Computer Science, University of California San Diego

9:30 AM  – 9:45 AM
Coffee Break

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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.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

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 Schmidt
Department 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

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

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, 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

3:00 PM – 3:15 PM Coffee Break 

3:15 PM – 4:15 PM
Expert Panel Discussion
AI in Medicine: A 360 Approach to Organization

ModeratorRubin Pillay, Ph.D.
Chief Innovation Officer, Heersink School of Medicine

Panelists:

4:15 PM – 4:30 PM
Closing Remarks

James J. Cimino, M.D.
Distinguished Professor of Medicine, Director, Informatics Institute, University of Alabama at Birmingham

4:30 PM – 6:00 PM

Poster Awards/Networking Session

Refreshments will be provided, 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

Sponsors