Upcoming Events

Below is information about e-HAIL’s Research-In-Progress Seminar Series. Twice monthly seminars are for e-HAIL members only and will meet from 2:00–3:00PM on the second and fourth Friday of each month during the academic year.

Computationally Analyzing Physician-Patient Communication

David Jurgens, Ph.D., Associate Professor of Information, U-M School of Information

2:00pm – 3:00pm in Remote/Virtual

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Health AI Ethics and Policy Symposium (an e-HAIL joint event)

Kelly Owens, Ph.D., Assistant Professor, Department of Population Health,
NYU Grossman School of Medicine

Sharon E. Davis, Ph.D., M.S., Research Assistant Professor, Department of Biomedical Informatics,
Vanderbilt University Medical Center

Yasir Tarabichi, M.D., MSCR, Medical Director of the Virtual Care Enterprise; Director of Clinical Informatics for Research Support, The MetroHealth System; Associate Professor of Medicine, Department of Medicine,
The MetroHealth System, Case Western Reserve University

Jennifer L. Gibson, PhD, MA, BA, BSc, Director, University of Toronto Joint Centre for Bioethics; Sun Life Financial Chair in Bioethics,
University of Toronto

9:00am – 2:00pm in Great Lakes Room, Palmer Commons

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Inferring Casual Gene Regulation from Interventional Molecular Measurements

Joshua Welch, Ph.D., Associate Professor of Computational Medicine and Bioinformatics, and Associate Professor of Electrical Engineering and Computer Science, U-M Medical School and U-M College of Engineering

2:00pm – 3:00pm in Remote/Virtual

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Advancing Behavioral Science through AI and Digital Health (an e-HAIL joint event)

Amy Bucher, Ph.D., Chief Behavioral Officer, Lirio

7:30am – 3:30pm in Richard L. Postma Family Clubhouse, 500 E. Stadium Blvd.

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AI and Mental Health (an e-HAIL joint event)

2:00pm – 3:30pm

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2024 e-HAIL Symposium – Generative AI in Healthcare

10:00am – 4:00pm in North Campus Research Complex, Building 18

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Past Events

Award Opportunities Office Hours

J. Henrike Florusbosch, PhD, e-HAIL Program Manager, Michigan Medicine/College of Engineering

Meet-the-Editor with Dr. Rohan Khera (an e-HAIL joint event)

Rohan Khera, M.D., M.S., Cardiologist and Data Scientist and the Director of the Cardiovascular Data Science (CarDS) Lab, Yale

Predicting Patient Outcomes After Car Crashes: A Machine Learning Perspective

Raymond Jean, M.D., Assistant Professor of Surgery,
U-M Medical School

Maggie Makar, Ph.D., Assistant Professor of Electrical Engineering and Computer Science,
U-M College of Engineering

On the relationship between supplement consumption and gut microbiome

Angela Violi, Ph.D., Professor of Mechanical Engineering, Professor of Electrical Engineering and Computer Science, U-M College of Engineering,
Professor of Biophysics, U-M College of Literature, Science, and the Arts

Thomas Schmidt, Ph.D., Professor of Internal Medicine (Infectious Diseases) and of Microbiology and Immunology, U-M Medical School ,
Professor of Ecology and Evolutionary Biology, U-M College of Literature, Science, and the Arts

What A Grant Writer Can Do for You

J. Henrike Florusbosch, PhD, e-HAIL Program Manager,
Michigan Medicine/College of Engineering

Hossam Abouzahr, MA, MPP, e-HAIL Grant Writer,
Michigan Medicine/College of Engineering

Leveraging LLMs to Change Healthcare Provider Behavior

Michael Rubyan, Ph.D., M.P.H., Clinical Assistant Professor, Health Management and Policy, U-M School of Public Health

Learning Digital Twin Representations of Patients from Electric Health Records

Geoffrey Siwo, Ph.D., Research Assistant Professor of Learning Health Sciences,
U-M Medical School

Tiffany Tang, Ph.D., Postdoctoral Research Fellow in Statistics,
U-M College of Literature, Science, and the Arts

Organ donation after circulatory death: rapidly scaling on bad data and intuition

Kyle Sheetz, M.D., M.S., Assistant Professor of Surgery, U-M Medical School

Personalizing Population Health Through Machine Learning

Alex Rodriguez, Ph.D., Assistant Professor of Computer Science Engineering, U-M College of Engineering

e-HAIL AI Institute 2024 Proposal Feedback Session

Anhong Guo, PhD, Assistant Professor of Computer Science and Engineering,
U-M College of Engineering

Rada Mihalcea, PhD, Professor of Computer Science and Engineering,
U-M College of Engineering

Jenna Wiens, PhD, Associate Professor of Computer Science and Engineering,
U-M College of Engineering

Positioning e-HAIL Members for Grant Success: Summer Student Support Program & Data Set Creation Awards Information Session

J. Henrike Florusbosch, Ph.D., e-HAIL Program Manager, Michigan Medicine/College of Engineering

What Do We Tell Patients? Designing a Label for AI Tools in Healthcare

Jodyn Platt, MPH, Ph.D., Associate Professor of Learning Health Sciences, U-M Medical School

Automatically Measuring Emotion from Speech: New Methods to Move from the Lab to the Real World – with Undergraduate Researchers!

Emily Mower Provost, Ph.D., Professor of Computer Science Engineering, U-M College of Engineering

The Minnesota Learning Health System: Data to Knowledge, Knowledge to Performance, Performance to Data

Christopher J. Tignanelli, MD, MS, FACS, FAMIA, Associate Dean, Data Science, U Minnesota Medical School Scientific Director, Program for Clinical Artificial Intelligence, U Minnesota Center for Learning Health Systems Science Chair, Health Information Technology (HIT) Committee, American College of Surgeons

Empowering Blind People to Create Personal Assistive Technology

Anhong Guo, PhD, Assistant Professor of Computer Science Engineering, U-M College of Engineering

e-HAIL Symposium: New Directions in AI for Health Equity

What A Grant Writer Can Do for You

J. Henrike Florusbosch, PhD, e-HAIL Program Manager,
Michigan Medicine/College of Engineering

Hossam Abouzahr, MA, MPP, e-HAIL Grant Writer,
Michigan Medicine/College of Engineering

Self-supervised learning for representing and decoding brain activity linked to behavior

Zhongming Liu, Ph.D., Associate Professor of Biomedical Engineering and Associate Professor of Electrical Engineering and Computer Science,
U-M College of Engineering and U-M Medical School

Jeff Fessier, Ph.D., Professor of Electrical Engineering and Computer Science, Professor of Biomedical Engineering, and Professor of Radiology,
U-M College of Engineering and U-M Medical School

Doug Noll, Ph.D. , Professor of Biomedical Engineering and Professor of Radiology,
U-M College of Engineering and U-M Medical School

Scott Peltier, Ph.D. , Research Scientist, Biomedical Engineering, and Research Scientist, Radiology,
College of Engineering

NSF’s Smart and Connected Communities (S&CC) Program

Vishal Sharma, Ph.D., Assistant Program Director , National Science Foundation (NSF)

AI-Assisted Augmented Reality Captioning Approaches to Assist Patients with Hearing Loss

Dhruv Jain, Ph.D., Assistant Professor of Electrical Engineering and Computer Science and Assistant Professor of Information,
U-M College of Engineering and U-M School of Information

Michael McKee, M.D., M.P.H., Associate Professor of Family Medicine and Associate Professor of Physical Medicine and Rehabilitation,
U-M Medical School

e-HAIL Conversation on Emerging Issues in AI and Health (in-person)

e-HAIL New Member Double-Header

New Member Pitch: Computational Conversation Analysis – Justine Zhang, Ph.D., Assistant Professor of Information,
U-M School of Information

Specific Aims Sprint: AI for Bone Age Determination – Anouck Girard, Ph.D. , Professor of Robotics and Professor of Aerospace Engineering,
U-M College of Engineering

Josephine Kasa-Vubu, M.D., Professor of Pediatrics,
U-M Medical School

Mudasir Ganaie, Ph.D. , Postdoctoral Research Fellow in Robotics,
U-M College of Engineering

Anatomical and Functional Assessment of Coronary Artery Disease Using Machine Learning

C. Alberto Figueroa, Ph.D., Professor of Biomedical Engineering and Vascular Surgery,
U-M Medical School and College of Engineering

Brahmajee Nallamothu, M.D., M.P.H., Professor of Cardiovascular Medicine and Professor of Internal Medicine,
U-M Medical School

Building and Deploying Interpretable AI Models to Predict Chronic Disease Exacerbations in VA

Shirley Cohen-Mekelburg, M.D., MS, Assistant Professor of Internal Medicine ,
Medical School

Akbar Waljee, M.D., MSc, Professor of Internal Medicine,
Medical School

e-HAIL Office Hrs: What Can a Grant Writer Do for You?

Hossam Abouzahr, MA, e-HAIL grant writer, e-HAIL (e-Health and Artificial Intelligence)

Translating Diabetes Research through Automated Data Extraction and Knowledge Graph Induction from Published Literature

Deanna Marriott, Research Assistant Professor,
U-M School of Nursing

VG Vinod Vydiswaran, Assistant Professor of Learning Health Sciences, Assistant Professor of Information,
U-M Medical School and School of Information

e-HAIL summer support program Zoom Office Hrs

J. Henrike Florusbosch, PhD

Specific Aims Sprint – Optimization of candidate selection for deceased donor kidney transplantation

Christopher J. Sonnenday, M.D., M.H.S., Transplant Center Director , University of Michigan Health

“What a grant writer can do for you” Zoom Office Hrs

Improving Organ Acceptance in Liver Transplant through Data Drive Models

Mariel Lavieri, Ph.D. , Associate Professor of Industrial and Operations Engineering,
U-M College of Engineering

David Hutton, Ph.D., Associate Professor of Health Management and Policy,
U-M School of Public Health

Neehar Parikh, M.D., Assistant Professor of Internal Medicine,
U-M Medical School

e-HAIL summer support program Zoom Office Hrs

J. Henrike Florusbosch, PhD

Using AI to Optimize Patient Engagement in mHealth

Mike Dorsch, Pharm.D., Associate Professor of Pharmacy,
College of Pharmacy

Walter Dempsey, Ph.D., Assistant Professor of Biostatistics,
School of Public Health

What Can Nothing but Data Do for You with Machine Learning?

Stella Yu, Ph.D., Professor, Electrical Engineering and Computer Science,
U-M Medical School

Reinforcement Learning to Increase the Reach of Brief Psychological Treatments in Resource Constrained Environments of the U.S. and Latin America

John Piette, Ph.D., Professor of Health Behavior and Health Education and Professor of Global Public Health, School of Public Health

e-HAIL Symposium: Artificial Intelligence and Health

Keynote 1: Geoffrey Siwo, Research Assistant Professor, Department of Internal Medicine,
Michigan Medicine

Keynote 2: John Guttag, Dugald C. Jackson Professor of Computer Science and Electrical Engineering,
Massachusetts Institute of Technology (MIT)

Building Teams Using Principles from High Reliability Organizations and Biological Systems

Shirley Cohen-Mekelburg, M.D., M.S., Assistant Professor of Internal Medicine,
Medical School

Geoffrey Siwo, Ph.D., Research Assistant Professor of Internal Medicine,
Medical School

e-HAIL Research in Progress: A Perioperative Point of Care Clinical Support System Leveraging AI

Michael Burns, Ph.D., Assistant Professor, Anesthesiology,
U-M Medical School

Maggie Makar, Ph.D., Presidential Fellow in AI, Electrical Engineering and Computer Science ,
U-M College of Engineering

e-HAIL Research in Progress: Cancer Prevention and Screening in Rural Primary Care: Pilot project recruitment

Sherri Sheinfeld Gorin, Ph.D., FSBM , Research Professor, Family Medicine,
U-M Medical School

E-HAIL Research in Progress: Diagnostic decision making for vision threatening diseases: Is there a role for AI beyond diabetic retinopathy?

Lindsey De Lott, Assistant Professor of Ophthalmology and Visual Sciences, Assistant Professor of Neurology , University of Michigan Medical School

e-HAIL Research in Progress: Improving Clinical Prediction of Adverse Events by Integrating Features of the Care Environment

Sardar Ansari, PhD, Research Assistant Professor, Department of Emergency Medicine,
University of Michigan Medical School

Andrew Admon, MD, MPH, MSc, Assistant Professor, Department of Internal Medicine,
University of Michigan Medical School

e-HAIL Research in Progress: Automatically Extracting Medication Timelines from Social Media Data

Melvin McInnis, M.D. , Thomas B. and Nancy Upjohn Woodworth Professor of Bipolar Disorder and Depression and Professor of Psychiatry,
U-M Medical School

Emily Mower Provost, Ph.D. , Associate Professor of Electrical Engineering and Computer Science ,
U-M College of Engineering

Towards Supporting Intraoperative Coordination and Entrustment in Surgical Faculty-Resident Dyads: Looking Together ≠ Seeing the Same Thing

Vitality Popov, PhD, Assistant Professor, Learning Health Sciences,
Medical School, University of Michigan

Xu Wang, PhD, Assistant Professor, Electrical Engineering and Computer Science,
College of Engineering, University of Michigan

Contactless Vital Sign Monitoring System for Heart and Respiratory Rate Measurements with Motion Compensation Using a Near-Infrared Time-of-Flight Camera

Mohammed Islam, PhD, MS, Professor, Electrical Engineering and Computer Science ,
College of Engineering, University of Michigan

Prashant Mahajan, MD, MPH, MBA, Professor of Emergency Medicine and Professor of Pediatrics,
Medical School, University of Michigan

Uncovering demographic, social and contextual factors associated within sharing COVID-19 vaccines misinformation

Lawrence An, MD, Associate Professor, Internal Medicine,
Medical School, University of Michigan

Veronica Perez-Rosas, PhD, Assistant Research Scientist, Electrical Engineering and Computer Science,
College of Engineering, University of Michigan

Meta-analysis of diabetes research through knowledge graphs

V.G. Vinod Vydiswaran, PhD, Associate Professor of Learning Health Sciences, Medical School and Associate Professor of Information,
School of Information, University of Michigan

Deanna Isaman, PhD, Research Assistant Professor,
School of Nursing, University of Michigan

Jessica Kim, Graduate Student, Masters of Health Informatics, Department of Learning Health Sciences,
Medical School, University of Michigan

Joseph Menke, Graduate Student, Masters of Science in Information,
School of Information, University of Michigan

Applications of Industrial and Operations Engineering to Manage Patients with Chronic Conditions

Mariel Lavieri, Associate Professor, Industrial and Operations Engineering, College of Engineering, University of Michigan

Tensor-based algorithms for medical and pharmaceutical decision making systems

Kayvan Najarian, Professor of Computational Medicine and Bioinformatics, Medical School, University of Michigan

The use of AI/ML in LMIC

Akbar Waljee, Professor of Internal Medicine – Gastroenterology, Michigan Medicine, University of Michigan

Towards finding a nail for my machine learning hammer: tackling health disparities with data

Maggie Makar, Assistant Professor and Presidential Fellow, Computer Science and Engineering, College of Engineering, University of Michigan

REACH-OUT PA: Randomized Trial of Technology-Supported Community Health Workers to Address Social Needs and Improve Physical Activity for Hypertension Prevention

Lorraine Buis, Associate Professor of Family Medicine, Medical School, University of Michigan

AI and Digital Health: Ongoing Research and Collaboration Opportunities

Karandeep Singh, Assistant Professor of Learning Health Sciences, Medical School, University of Michigan

Data-Driven Assessment Methods for Intraoperative Entrustment of Surgical Residents: The Role of Joint Visual Attention

Xu Wang and Vitaliy Popov

Virtual e-HAIL Launch Event

Machine learning approaches for guiding atrial fibrillation ablation procedures

Mohammed Saeed, Assistant Professor of Internal Medicine, Division of Cardiology, Michigan Medicine, University of Michigan

Understanding the Impact of COVID-19 Health Misinformation across Demographic Groups

Stacy Loeb, Rada Mihalcea, and Veronica Perez-Rosas

e-HAIL Sprint Specific Aims Challenge Group Mixer (Interactive Session)

Rada Mihalcea, Professor of Electrical Engineering and Computer Science, College of Engineering, University of Michigan

Cardiac sURgery Best practices to reduce AKI (CURB-AKI)

Michael Mathis, Assistant Professor of Anesthesiology, Michigan Medicine, University of Michigan

Overview of Research and Ongoing Work: Surrogate Modeling and Distribution Shift

Paramveer Dhillon, Assistant Professor of Information, School of Information, University of Michigan

Natural Language Processing for Enhanced Behavioral Counseling

Rada Mihalcea and Veronica Perez-Rosas

AI-Human Hybrid Counseling for Pandemic Stress

Lawrence An and Rada Mihalcea

Analytics and Pharmacy Fraud: Partnered Research with Michigan Medicaid

Jeremy Sussman, Associate Professor of Internal Medicine, Michigan Medicine, University of Michigan

Smart Health & Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (NSF SCH)

Jenna Wiens and Michael Sjodibg

Low Salt 4 Life (A Just-In-Time Adaptive Mobile Application Intervention To Reduce Sodium Intake And Blood Pressure In Hypertensive Patients)

Brahmajee Nallamothu and Mike Dorsch

Talk by Jenna Wiens and Michael Sjoding

Jenna Wiens and Michael Sjoding