Data-Driven Precision Medicine and Translational Research in the Era of Big Data

 

Friday, May 1, 2020
8:20 a.m. – 5:30 p.m.
Marlo Thomas Center Board Room
St. Jude Children's Research Hospital
Memphis, TN 38105

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Program Overview

“Big data” are rapidly shaping the biomedical and clinical research in the new era of precision medicine. In addition to “traditional” big data like genomics, proteomics and neuroimaging data, “novel” types of high-dimensional data are being massively explored. Emerging examples are compositional microbiome biomarkers, health information technology (HIT) including digital biometrics data, real world evidence (RWE) based on electronic health records (EHR), and even a combination of big data from multiple areas. Although big data can result in numerous analytic challenges, they add highly valuable information to the knowledge set essential for translating research efforts to precision medicine practices such as patient screening, disease detection, treatment selection, response monitoring, toxicity or morbidity management, and patient risk stratification.

The symposium intends to cover the following five areas:

  1. Precision Medicine and Big Data in Medicine: Challenges and Opportunities
  2. Emerging Evidence: Advances in Quantitative Microbiome and Wearable Technology Research
  3. Real-time/Dynamic Disease Risk Prediction
  4. Electronic Health Records (EHR) based Real World Evidence (RWE)
  5. Interpretable Machine and Deep Learning: Theory and Applications in Healthcare

This one-day symposium aims to gather renowned data science researchers in emerging big data fields to showcase exciting advances in developing data-driven approaches that help to improve precision medicine and related state-of-the-art technologies involving modern statistical learning, deep learning and artificial intelligence (AI) concepts. The event will highlight applications of big data science and tools to advance precision medicine and translational research. 

Host and Moderator

Special Guests

  • Charles W. M. Roberts, MD, PhD

    Charles W. M. Roberts, MD, PhD

    Roberts

    Member, St. Jude Faculty

    • Executive Vice President
    • Director, Comprehensive Cancer Center
    • Director, Molecular Oncology Division

          

Speakers

David Benkeser, Assistant Professor, Department of Biostatistics and Bioinformatics Rollins School of Public Health, Emory University

David Benkeser, PhD
Assistant Professor, Department of Biostatistics and Bioinformatics
Rollins School of Public Health
Emory University

Ciprian M. Crainiceanu, Professor, Department of Biostatistics, Johns Hopkins University

Ciprian M. Crainiceanu, PhD
Professor, Department of Biostatistics
Johns Hopkins University

Michael R. Kosorok, W.R. Kenan, Jr. Distinguished Professor and Chair, Department of Biostatistics Professor, Department of Statistics and Operations Research, University of North Carolina at Chapel Hill

Michael R. Kosorok, PhD
W.R. Kenan, Jr. Distinguished Professor and Chair, Department of Biostatistics
Professor, Department of Statistics and Operations Research
University of North Carolina at Chapel Hill

Michael LeBlanc, Fed Hutch

Michael LeBlanc, PhD
Member, Biostatistics
Public Health Sciences Division
Fred Hutch

Hongzhe Li, Professor of Biostatistics and Statistics, Vice Chair of Integrative Research Director, Center for Statistics in Big Data, Perelman School of Medicine, University of Pennsylvania

Hongzhe Li, PhD
Perelman Professor of Biostatistics, Epidemiology and Informatics
Professor of Biostatistics and Statistics
Vice Chair of Integrative Research
Director, Center for Statistics in Big Data
Perelman School of Medicine
University of Pennsylvania

Lei Liu, Professor, Division of Biostatistics, Washington University School of Medicine in St. Louis

Lei Liu, PhD
Professor, Division of Biostatistics
School of Medicine
Washington University in St. Louis

 

Sheng Luo, Professor, Department of Biostatistics & Bioinformatics, Duke University

Sheng Luo, PhD
Professor, Department of Biostatistics & Bioinformatics
Duke University

Jeremey Weiss, Assistant Professor of Health Informatics, Heinz College, Carnegie Mellon University

Jeremey Weiss, MD, PhD
Assistant Professor of Health Informatics
Heinz College
Carnegie Mellon University

Agenda

Time Event (all sessions held in MTC Board Room)
7:30 – 8:20 a.m. Registration, Coffee and Refreshments
8:20 – 8:30 a.m.

Opening remarks – Charles Roberts, Member, St. Jude Faculty; Executive Vice President; Director, Comprehensive Cancer Center; Director, Molecular Oncology Division

Pediatric Oncology Data Science: Progress, Perspectives, and Challenges
8:30 - 9:05 am Jinhui Zhang, St. Jude Children's Research Hospital
9:05 - 9:40 am Arzu Onar-Thomas, St. Jude Children's Research Hospital
9:40 - 9:50 am Discussion and Coffee Break
Precision Medicine and Big Data in Medicine: Challenges and Opportunities
9:50 – 10:25 am Michael LeBlanc, Fred Hutchinson
10:25 – 11:00 am

Michael Kosorok, University of North Carolina-Chapel Hill

11:00 – 11:10 am Discussion and Coffee Break
Interpretable Machine and Deep Learning: Theory and Applications in Healthcare
11:10 - 11:40 am David Benkeser, Emory University
11:40 - 1145 am Discussion
11:45 am - 2:00 pm Lunch
Emerging Evidence: Advances in Quantitative Microbiome and Wearable Technology Research
2:10 – 2:45 pm Hongzhe Li, University of Pennsylvania
2:45 – 3:20 pm Ciprian M. Crainiceanu, Johns Hopkins University
3:20 – 3:30 pm Discussion and Coffee Break
Real-time/Dynamic Disease Risk Prediction
3:30 – 4:05 pm

Sheng Luo, Duke University

4:05 – 4:40 pm Lei Liu, Washington University in St. Louis
4:40 – 4:50 pm

Discussion and Coffee Break

Electronic Health Records (EHR) based Real World Evidence (RWE)
4:50 – 5:25 pm Jeremy Weiss, Carnegie Mellon University
5:25 – 5:35 pm Concluding Remarks – Motomi Mori, Member, St. Jude Faculty, Endowed Chair, St. Jude Biostatistics

Register