Health Informatics Seminar Series
Navigating Large Language Models: Foundations and Frameworks
This introductory presentation provides a roadmap for navigating the Large Language Model (LLM) landscape. We will start by covering the basic mechanics of how these models function, along with the various ways to access and interact with this technology from commercial platforms to local institutional deployment. We will then take a brief look into the LLM Toolbox, comparing optimization methods such as prompt engineering, Retrieval-Augmented Generation (RAG), Agents, and fine-tuning to help researchers identify the best approach for their specific workflows.
Event Details
Date and Time
Tuesday, March 10, 2026
12-1 p.m.
Location
Virtual: Zoom link
In-person: Center for Translational Research and Education, Room 152B
Health Sciences Campus, 2160 S. First Avenue, Maywood, Illinois
Featured Speaker
Mohammad Alhusseini, PhD
Mohammad Alhusseini is a Research Software Developer in the Research Computing Services (RCS) division of ITS. RCS specializes in the development of high-performance computing resources and scalable API solutions that advance analytics using Natural Language Processing and machine learning to process clinical narrative and images. He received his BS in Physics from Purdue University and PhD in Physics from University of Iowa.
Contact Us
To provide feedback, report technical issues, or propose a speaker, kindly reach out to Kathleen (Kathy) Bobay, PhD, RN, ACHIP, FAAN (kbobay@luc.edu).
Past Seminars
| Speaker | About | Topic | Date | More Information |
|---|---|---|---|---|
 |
Peter Norlander is an Associate Professor of Management at Loyola University Chicago’s Quinlan School of Business. His research focuses on contemporary economic and workplace issues, often using large administrative datasets, working with students, and engaging with professional, business, and non-profit communities to address collective action problems in the field. Svetlozar Nestorov is an associate professor of Information Systems at Loyola University Chicago’s Quinlan School of Business. His research interests include databases, data mining, artificial intelligence, high-performance computing, web technologies, and education. Stephen Meisenbacher is a research associate at the chair for Software Engineering of Business Information Systems at the Technical University of Munich (TUM) and is pursuing his PhD, which focuses on advancing Differential Privacy in the context of Natural Language Processing. |
Online job postings contain real-time information on employer demand and working conditions needed by many data users, but access has been limited due to proprietary methods and data. Based on work extracting billions of structured data points from the unstructured text of over 155 million job postings covering 2015-2025, this talk will describe the construction of and applications for what will be the first large scale public use aggregated dataset of job ad features when released. |
NOVEMBER 11, 2025 | Recording |
 |
Michael Saban is a PhD student in Computer Science at Loyola University Chicago and a Graduate Research Assistant in the Department of Health Informatics and Data Science. Daniel Heiferman, MD is a cerebrovascular neurosurgeon at Endeavor Health with a research program centered on advancing stroke care. Paula de la Pena, PhD RN is a neurocritical care nurse with specialized expertise in stroke care and a current TL1 Postdoctoral Fellow in the Marcella Niehoff School of Nursing. Samie Tootooni, PhD is Assistant Professor in the department of Health Informatics and Data Science and Associate Director of the CHOIR. |
Translating artificial intelligence (AI) into clinical practice remains a major challenge, even for high-priority areas such as stroke detection. StrokePath is an early-stage decision support tool that uses routine Emergency Medical Systems (EMS) data to assist providers in stroke triage, designed to enhance clinical judgment while fitting existing workflows. This presentation will share our dual focus (1) developing and validating predictive models, and (2) conducting early implementation studies with stakeholder engagement and workflow integration, to ensure StrokePath evolves as a practical, real-world tool. The approach may also inform the translation of other AI-based clinical decision support systems. |
OCTOBER 14, 2025 | Recording |
 Epic Data Mining for Research & Data Security - Ron Price_PAST.jpg) |
Ron Price is the Associate Vice President, Research and Analytic Services at Loyola University Chicago, Information Technology Services. Mr. Price’s responsibilities include direction of technology teams that identify, implement and support computing and analytics initiatives that advance the institutions’ strategic goals. |
The Clinical Research Database (CRDB): Epic Data Mining for Research & Data Security The CRDB is a large-scale, longitudinal clinical data repository that is utilized to support clinical research. It is composed of a limited data set (LDS) containing 18 years (2007 – 2023) of longitudinal data on more than two million patients. It has a supporting web-based application that allows LUC faculty, students and staff to preform “preparatory-to-research” queries in a “self-serve” manner. |
SEPTEMBER 16, 2025 | Recording |
 |
Dr. Iacobelli is an associate professor with a dual appointment to the departments of Health Informatics and Data Science, and the department of Surgery at Loyola University, Chicago. Francisco is affiliated to the Center for Advancing Safety of Machine Intelligence (CASMI) as well as a member of the board of directors in the Medical Association for the Latino Advancement (MOLA). |
Designing Technology for Low Literacy Individuals: Understanding Users Before, During, and After the Interaction This talk describes the design considerations before a feasibility study, during the study, and contrasts two interactions with an intelligent tutoring system aimed at low literacy Latinas in the United States, where the experiment and subsequent evaluation call for a more nuanced approach at the evaluation of interactions between these systems and low literacy individuals. |
MARCH 18, 2025 | Recording |
 (1) Ron Price, BA; (2) Jason Boyda, MS; and (3) Kathleen Bobay, PhD, RN, NEA-BC, ACHIP, FAAN |
(1) Associate Vice President of Informatics and Clinical Research, Information Technology Services, Loyola University Chicago (2) Senior Programmer Analyst, Information Technology Services, Loyola University Chicago (3) Professor, Health Informatics & Data Science, Loyola University Chicago |
Review and Updates for the Clinical Natural Language Processing Engines at LUC | July 12, 2023 | Recording |
 (1) Ehiannon Clifton; and (2) Len Musielak |
(1) Senior Director of Integration (2) Senior Director of Operations SHIELD Illinois, University of Illinois at Urbana-Champaign, Urbana-Champaign, IL |
Beyond the Numbers: Navigating the Challenges of Health Informatics in the Post Pandemic Era | May 18, 2023 | Recording |
 (1) Jonathan E. Helm, PhD; and (2) Pengyi Shi, PhD |
(1) Associate Professor at Indiana University’s Kelley School of Business (2) Associate Professor at the Krannert School of Management, Purdue University |
Delta Coverage: The Analytics Journey to Implement a Novel Nurse Deployment Solution | April 26, 2023 | Recording |
 Jacob Krive, PhD, MBA, MS, CPHIMS, LSSGB |
Clinical Associate Professor of Biomedical and Health Information Sciences College of Applied Health Sciences University of Illinois at Chicago Chicago, IL |
Machine Learning to Augment Cardio-Oncology Medical Practice Operations and Advance Medical Science | March 22, 2023 | Recording |
 Kimberly R. Powell PhD, RN |
Assistant Professor MU Sinclair School of Nursing University of Missouri Columbia, MO |
Mining Text Messages to Understand What Matters | February 22, 2023 | Recording |
 Santiago Romero-Brufau, MD, PhD |
Assistant Professor of Medicine and Healthcare Systems Engineering and Principal Data Scientist in the Department of Medicine |
Automating Patient Triage in Mayo Clinic's Multidisciplinary Dizziness Practice | January 26, 2023 | Recording |
 Salih Tutun, PhD |
Lecturer in Data Analytics, Olin Business School Washington University in St Louis St. Louis, MO |
Designing the MDScan Framework for Mental Health Screening | December 6. 2022 | Recording |
 VA Information Resource Center |
Panelists: 1- Chandrea Culbreath, MPH, BSN, CHTS-TR - Data Translation and Portfolio Management Lead 2- Maria Souden, MSI, PHD - Director and ORD Strategic Initiative for Research & EHR Synergy Lead |
Challenges and Opportunities in Curating Large Administrative and Clinical Datasets for Research Use | October 6, 2022 | Recording |
 Nicholas Soulakis, PhD |
Chief Public Health Informatics Officer and Deputy Commissioner Bureau of Informatics IT, Chicago Department of Public Health Assistant Professor, Division of Health & Biomedical Informatics, Northwestern University, Chicago, IL | Identifying High-Performance Teamwork through Analysis of Outcome-Weighted Networks | August 3, 2022 | Recording |
 Optum, Inc. |
Health Services Innovation Company | Optum’s Digital Research Network and De-Identified Data Workspace | June 8, 2022 | Recording |
 Dariusz Borys, MD |
Professor of Pathology and Orthopedic Surgery Loyola University Health System Maywood, IL |
Application of Digital Pathology in Clinical Practice, Education, and Research | May 25, 2022 | Recording |
 Abdulaziz Ahmed, PhD |
Assistant Professor |
Mitigating Emergency Department Overcrowding Problem Using Machine Learning | March 30, 2022 | Recording |
 Maria Mayorga, PhD |
Professor of Personalized Medicine Edward P. Fitts Department of Industrial and Systems Engineering North Carolina State University Raleigh, NC |
Estimating Potential Increase in Hospitalizations and Deaths Associated with the Emergence of the Omicron Variant in North Carolina | February 23, 2022 | Recording |
 Saeed Hassanpour, PhD |
Associate Professor |
AI in Digital Pathology | January 19, 2022 | Recording |
 Masoud Rouhizadeh, PhD, MSc, MA |
Assistant Professor Pharmaceutical Outcomes & Policy University of Florida Gainesville, FL |
Deep Learning and Natural Language Processing Methods for Mining Electronic Medical Records | November 30, 2021 | Recording |
| (1) Ron Price; (2) Jason Boyda; and (3) Kathleen Bobay, PhD |
(1) Associate Vice President, Informatics and Clinical Research, Loyola University Chicago (2) Programmer analyst, Informatics and Clinical Research, Loyola University Chicago (3) Professor, Parkinson School of Health Sciences and Public Health, Loyola University Chicago |
Session 1 of 2: The cNAE: Natural Language Processing from the Electronic Health Record Session 2 of 2: The cNIE: Using Natural Language Processing for Inference or Clincal Decisions |
September 9 and October 20, 2021 | |
 Ibrahim Karabayir, PhD |
Postdoctoral Research Associate Department of Health Informatics and Data Science Parkinson School of Health Sciences and Public Health Loyola University Chicago Maywood, IL |
ECG-AI: Electrocardiographic Artifical Intelligence Model for Prediction of Heart Failure | July 28, 2021 | Recording |
 Liam Butler, PhD |
Postdoctoral Research Associate Department of Health Informatics and Data Science Parkinson School of Health Sciences and Public Health Loyola University Chicago Maywood, IL |
Artifical Intelligence Can Predict the Risk of ARDS, ICU Admission, and Mortality in Patients Presenting to Emergency Department During the COVID-19 Pandemic | June 23, 2021 | Recording |
 Hamsa Bastani, PhD |
Assistant Professor Operations Information and Decisions Wharton School University of Pennsylvania |
Healthcare Analytics with Bandits and Transfer Learning | May 19, 2021 | Recording |
 Rozalina G. McCoy, MD, MS |
Associate Professor of Medicine Primary Care Physician and Endocrinologist Medical Director of Community Paramedicine Mayo Clinic Ambulance Service Mayo Clinic Rochester, MN |
Diabetes Treatment/Benefit Paradox Exposed by Real-world Data | April 21, 2021 | Recording |
 Umit Topaloglu, PhD, FAMIA |
Associate Director Wake Forest Baptist Comprehensive Cancer Center & Center for Biomedical Informatics Co-Director Bioinformatics Shared Resource Associate Professor Cancer Biology & Biostatistics and Data Science Wake Forest School of Medicine Wake Forest University Winston-Salem, NC |
Making Free Text Reports Available for Resarchers via a De-identification and Natural Language Processing Pipeline | March 31, 2021 | Recording |
 Oguz Akbilgic, PhD |
Associate Professor Department of Health Informatics and Data Science Center for Health Outcomes and Informatics Research Parkinson School of Health Sciences and Public Health Loyola University Chicago Maywood, IL |
Artifical Intelligence in Cardiology | February 24, 2021 | Recording |
 Richard Cooper, MD |
Professor Emeritus, Former Chair Department of Public Health Sciences Parkinson School of Health Sciences and Public Health Loyola University Chicago Maywood, IL |
Public Health Informatics, COVID-19, and Vaccination Rollout | January 27, 2021 | Recording |
 Qunfeng Dong, PhD |
Director Center for Biomedical Informatics Professor Stritch School of Medicine Loyola University Chicago Maywood, IL |
An Introduction to Bayesian Modeling for Biomedical Research via COVID-19 Models | December 16, 2020 | Recording |
 Kalyan Pasupathy, PhD |
Associate Professor Mayo Clinic College of Medicine and Science Rochester, MN |
Enhancing Clinical Care Using Augmented Human Intelligence | November 18, 2020 | Recording |
 Robert Davis, MD |
Governor's Chair and Director Center for Biomedical Informatics University of Tennessee Health Sciences Center Memphis, TN |
An Under-the-Hood Introduction to Artificial Neural Networks for Epidemiologists and Health Science Researchers | October 28, 2020 | Recording |
Navigating Large Language Models: Foundations and Frameworks
This introductory presentation provides a roadmap for navigating the Large Language Model (LLM) landscape. We will start by covering the basic mechanics of how these models function, along with the various ways to access and interact with this technology from commercial platforms to local institutional deployment. We will then take a brief look into the LLM Toolbox, comparing optimization methods such as prompt engineering, Retrieval-Augmented Generation (RAG), Agents, and fine-tuning to help researchers identify the best approach for their specific workflows.
Event Details
Date and Time
Tuesday, March 10, 2026
12-1 p.m.
Location
Virtual: Zoom link
In-person: Center for Translational Research and Education, Room 152B
Health Sciences Campus, 2160 S. First Avenue, Maywood, Illinois
Contact Us
To provide feedback, report technical issues, or propose a speaker, kindly reach out to Kathleen (Kathy) Bobay, PhD, RN, ACHIP, FAAN (kbobay@luc.edu).
Past Seminars
| Speaker | About | Topic | Date | More Information |
|---|---|---|---|---|
|
Peter Norlander is an Associate Professor of Management at Loyola University Chicago’s Quinlan School of Business. His research focuses on contemporary economic and workplace issues, often using large administrative datasets, working with students, and engaging with professional, business, and non-profit communities to address collective action problems in the field. Svetlozar Nestorov is an associate professor of Information Systems at Loyola University Chicago’s Quinlan School of Business. His research interests include databases, data mining, artificial intelligence, high-performance computing, web technologies, and education. Stephen Meisenbacher is a research associate at the chair for Software Engineering of Business Information Systems at the Technical University of Munich (TUM) and is pursuing his PhD, which focuses on advancing Differential Privacy in the context of Natural Language Processing. |
Online job postings contain real-time information on employer demand and working conditions needed by many data users, but access has been limited due to proprietary methods and data. Based on work extracting billions of structured data points from the unstructured text of over 155 million job postings covering 2015-2025, this talk will describe the construction of and applications for what will be the first large scale public use aggregated dataset of job ad features when released. |
NOVEMBER 11, 2025 | Recording |
|
Michael Saban is a PhD student in Computer Science at Loyola University Chicago and a Graduate Research Assistant in the Department of Health Informatics and Data Science. Daniel Heiferman, MD is a cerebrovascular neurosurgeon at Endeavor Health with a research program centered on advancing stroke care. Paula de la Pena, PhD RN is a neurocritical care nurse with specialized expertise in stroke care and a current TL1 Postdoctoral Fellow in the Marcella Niehoff School of Nursing. Samie Tootooni, PhD is Assistant Professor in the department of Health Informatics and Data Science and Associate Director of the CHOIR. |
Translating artificial intelligence (AI) into clinical practice remains a major challenge, even for high-priority areas such as stroke detection. StrokePath is an early-stage decision support tool that uses routine Emergency Medical Systems (EMS) data to assist providers in stroke triage, designed to enhance clinical judgment while fitting existing workflows. This presentation will share our dual focus (1) developing and validating predictive models, and (2) conducting early implementation studies with stakeholder engagement and workflow integration, to ensure StrokePath evolves as a practical, real-world tool. The approach may also inform the translation of other AI-based clinical decision support systems. |
OCTOBER 14, 2025 | Recording |
|
Ron Price is the Associate Vice President, Research and Analytic Services at Loyola University Chicago, Information Technology Services. Mr. Price’s responsibilities include direction of technology teams that identify, implement and support computing and analytics initiatives that advance the institutions’ strategic goals. |
The Clinical Research Database (CRDB): Epic Data Mining for Research & Data Security The CRDB is a large-scale, longitudinal clinical data repository that is utilized to support clinical research. It is composed of a limited data set (LDS) containing 18 years (2007 – 2023) of longitudinal data on more than two million patients. It has a supporting web-based application that allows LUC faculty, students and staff to preform “preparatory-to-research” queries in a “self-serve” manner. |
SEPTEMBER 16, 2025 | Recording |
|
Dr. Iacobelli is an associate professor with a dual appointment to the departments of Health Informatics and Data Science, and the department of Surgery at Loyola University, Chicago. Francisco is affiliated to the Center for Advancing Safety of Machine Intelligence (CASMI) as well as a member of the board of directors in the Medical Association for the Latino Advancement (MOLA). |
Designing Technology for Low Literacy Individuals: Understanding Users Before, During, and After the Interaction This talk describes the design considerations before a feasibility study, during the study, and contrasts two interactions with an intelligent tutoring system aimed at low literacy Latinas in the United States, where the experiment and subsequent evaluation call for a more nuanced approach at the evaluation of interactions between these systems and low literacy individuals. |
MARCH 18, 2025 | Recording |
| (1) Ron Price, BA; (2) Jason Boyda, MS; and (3) Kathleen Bobay, PhD, RN, NEA-BC, ACHIP, FAAN |
(1) Associate Vice President of Informatics and Clinical Research, Information Technology Services, Loyola University Chicago (2) Senior Programmer Analyst, Information Technology Services, Loyola University Chicago (3) Professor, Health Informatics & Data Science, Loyola University Chicago |
Review and Updates for the Clinical Natural Language Processing Engines at LUC | July 12, 2023 | Recording |
| (1) Ehiannon Clifton; and (2) Len Musielak |
(1) Senior Director of Integration (2) Senior Director of Operations SHIELD Illinois, University of Illinois at Urbana-Champaign, Urbana-Champaign, IL |
Beyond the Numbers: Navigating the Challenges of Health Informatics in the Post Pandemic Era | May 18, 2023 | Recording |
| (1) Jonathan E. Helm, PhD; and (2) Pengyi Shi, PhD |
(1) Associate Professor at Indiana University’s Kelley School of Business (2) Associate Professor at the Krannert School of Management, Purdue University |
Delta Coverage: The Analytics Journey to Implement a Novel Nurse Deployment Solution | April 26, 2023 | Recording |
| Jacob Krive, PhD, MBA, MS, CPHIMS, LSSGB |
Clinical Associate Professor of Biomedical and Health Information Sciences College of Applied Health Sciences University of Illinois at Chicago Chicago, IL |
Machine Learning to Augment Cardio-Oncology Medical Practice Operations and Advance Medical Science | March 22, 2023 | Recording |
| Kimberly R. Powell PhD, RN |
Assistant Professor MU Sinclair School of Nursing University of Missouri Columbia, MO |
Mining Text Messages to Understand What Matters | February 22, 2023 | Recording |
| Santiago Romero-Brufau, MD, PhD |
Assistant Professor of Medicine and Healthcare Systems Engineering and Principal Data Scientist in the Department of Medicine |
Automating Patient Triage in Mayo Clinic's Multidisciplinary Dizziness Practice | January 26, 2023 | Recording |
| Salih Tutun, PhD |
Lecturer in Data Analytics, Olin Business School Washington University in St Louis St. Louis, MO |
Designing the MDScan Framework for Mental Health Screening | December 6. 2022 | Recording |
| VA Information Resource Center |
Panelists: 1- Chandrea Culbreath, MPH, BSN, CHTS-TR - Data Translation and Portfolio Management Lead 2- Maria Souden, MSI, PHD - Director and ORD Strategic Initiative for Research & EHR Synergy Lead |
Challenges and Opportunities in Curating Large Administrative and Clinical Datasets for Research Use | October 6, 2022 | Recording |
| Nicholas Soulakis, PhD |
Chief Public Health Informatics Officer and Deputy Commissioner Bureau of Informatics IT, Chicago Department of Public Health Assistant Professor, Division of Health & Biomedical Informatics, Northwestern University, Chicago, IL | Identifying High-Performance Teamwork through Analysis of Outcome-Weighted Networks | August 3, 2022 | Recording |
| Optum, Inc. |
Health Services Innovation Company | Optum’s Digital Research Network and De-Identified Data Workspace | June 8, 2022 | Recording |
| Dariusz Borys, MD |
Professor of Pathology and Orthopedic Surgery Loyola University Health System Maywood, IL |
Application of Digital Pathology in Clinical Practice, Education, and Research | May 25, 2022 | Recording |
| Abdulaziz Ahmed, PhD |
Assistant Professor |
Mitigating Emergency Department Overcrowding Problem Using Machine Learning | March 30, 2022 | Recording |
| Maria Mayorga, PhD |
Professor of Personalized Medicine Edward P. Fitts Department of Industrial and Systems Engineering North Carolina State University Raleigh, NC |
Estimating Potential Increase in Hospitalizations and Deaths Associated with the Emergence of the Omicron Variant in North Carolina | February 23, 2022 | Recording |
| Saeed Hassanpour, PhD |
Associate Professor |
AI in Digital Pathology | January 19, 2022 | Recording |
| Masoud Rouhizadeh, PhD, MSc, MA |
Assistant Professor Pharmaceutical Outcomes & Policy University of Florida Gainesville, FL |
Deep Learning and Natural Language Processing Methods for Mining Electronic Medical Records | November 30, 2021 | Recording |
| (1) Ron Price; (2) Jason Boyda; and (3) Kathleen Bobay, PhD |
(1) Associate Vice President, Informatics and Clinical Research, Loyola University Chicago (2) Programmer analyst, Informatics and Clinical Research, Loyola University Chicago (3) Professor, Parkinson School of Health Sciences and Public Health, Loyola University Chicago |
Session 1 of 2: The cNAE: Natural Language Processing from the Electronic Health Record Session 2 of 2: The cNIE: Using Natural Language Processing for Inference or Clincal Decisions |
September 9 and October 20, 2021 | |
| Ibrahim Karabayir, PhD |
Postdoctoral Research Associate Department of Health Informatics and Data Science Parkinson School of Health Sciences and Public Health Loyola University Chicago Maywood, IL |
ECG-AI: Electrocardiographic Artifical Intelligence Model for Prediction of Heart Failure | July 28, 2021 | Recording |
Liam Butler, PhD |
Postdoctoral Research Associate Department of Health Informatics and Data Science Parkinson School of Health Sciences and Public Health Loyola University Chicago Maywood, IL |
Artifical Intelligence Can Predict the Risk of ARDS, ICU Admission, and Mortality in Patients Presenting to Emergency Department During the COVID-19 Pandemic | June 23, 2021 | Recording |
| Hamsa Bastani, PhD |
Assistant Professor Operations Information and Decisions Wharton School University of Pennsylvania |
Healthcare Analytics with Bandits and Transfer Learning | May 19, 2021 | Recording |
| Rozalina G. McCoy, MD, MS |
Associate Professor of Medicine Primary Care Physician and Endocrinologist Medical Director of Community Paramedicine Mayo Clinic Ambulance Service Mayo Clinic Rochester, MN |
Diabetes Treatment/Benefit Paradox Exposed by Real-world Data | April 21, 2021 | Recording |
Umit Topaloglu, PhD, FAMIA |
Associate Director Wake Forest Baptist Comprehensive Cancer Center & Center for Biomedical Informatics Co-Director Bioinformatics Shared Resource Associate Professor Cancer Biology & Biostatistics and Data Science Wake Forest School of Medicine Wake Forest University Winston-Salem, NC |
Making Free Text Reports Available for Resarchers via a De-identification and Natural Language Processing Pipeline | March 31, 2021 | Recording |
| Oguz Akbilgic, PhD |
Associate Professor Department of Health Informatics and Data Science Center for Health Outcomes and Informatics Research Parkinson School of Health Sciences and Public Health Loyola University Chicago Maywood, IL |
Artifical Intelligence in Cardiology | February 24, 2021 | Recording |
| Richard Cooper, MD |
Professor Emeritus, Former Chair Department of Public Health Sciences Parkinson School of Health Sciences and Public Health Loyola University Chicago Maywood, IL |
Public Health Informatics, COVID-19, and Vaccination Rollout | January 27, 2021 | Recording |
| Qunfeng Dong, PhD |
Director Center for Biomedical Informatics Professor Stritch School of Medicine Loyola University Chicago Maywood, IL |
An Introduction to Bayesian Modeling for Biomedical Research via COVID-19 Models | December 16, 2020 | Recording |
| Kalyan Pasupathy, PhD |
Associate Professor Mayo Clinic College of Medicine and Science Rochester, MN |
Enhancing Clinical Care Using Augmented Human Intelligence | November 18, 2020 | Recording |
| Robert Davis, MD |
Governor's Chair and Director Center for Biomedical Informatics University of Tennessee Health Sciences Center Memphis, TN |
An Under-the-Hood Introduction to Artificial Neural Networks for Epidemiologists and Health Science Researchers | October 28, 2020 | Recording |