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

 

Thank you for your interest in the Data-Driven Precision Medicine and Translational Research in the Era of Big Data Symposium planned on Friday, May 1. Due to the rapidly evolving situation involving COVID-19, we are transitioning to a virtual conference. We hope you will join us online. Meeting information and instructions will be available in early April.

 

Friday, May 1, 2020
8:30 am – 5:40 pm
Virtual conference instructions will be posted soon

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 six areas:

  1. Pediatric Oncology Data Science: Progress, Perspectives, and Challenges
  2. Precision Medicine and Big Data in Medicine: Challenges and Opportunities
  3. Emerging Evidence: Advances in Quantitative Microbiome and Wearable Technology Research
  4. Real-time/Dynamic Disease Risk Prediction
  5. Electronic Health Records (EHR) based Real World Evidence (RWE)
  6. 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

Arzu Onar-Thomas portrait

Arzu Onar-Thomas, PhD
Member, St. Jude Faculty
Biostatistics Department
St. Jude Graduate School of Biomedical Sciences
St. Jude Children's Research Hospital

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

Jinghui Zhang, PhD portrait

Jinghui Zhang, PhD
Member, St. Jude Faculty
Chair, Department of Computational Biology
St. Jude Endowed Chair in Bioinformatics
St. Jude Graduate School of Biomedical Sciences
St. Jude Children's Research Hospital

 

Agenda

Time Event (all sessions held in MTC Board Room)
8:30 – 8:40 am Opening and Preparation - Li TangSt. Jude Children's Research Hospital
8:40 – 8:50 am

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

Session 1: Pediatric Oncology Data Science: Progress, Perspectives, and Challenges
8:50 - 9:30 am Real-Time Analysis of the Expanding Pediatric Cancer Genomics Data on St. Jude Cloud
Jinghui Zhang, St. Jude Children's Research Hospital
9:30 - 10:10 am Precision Medicine in Pediatric Brain Tumors: Challenges and Opportunities
Arzu Onar-Thomas, St. Jude Children's Research Hospital
10:10 - 10:20 am Session 1 Discussion and Break
Session 2: Precision Medicine and Big Data in Medicine: Challenges and Opportunities
10:20 – 11:00 am Experiences in Building Sequential and Platform Precision Medicine Trials
Michael LeBlanc, Fred Hutchinson
11:00 – 11:40 am

 Recent Developments and Future Possibilities in Precision Health
Michael Kosorok, University of North Carolina-Chapel Hill

11:40 – 11:50 am Session 2 Discussion and Break
Session 3: Emerging Evidence: Advances in Quantitative Microbiome and Wearable Technology Research
1:00 – 1:40 pm Interrogating the Gut Microbiome: Estimation of Growth Dynamics and  Prediction of Biosynthetic Gene Clusters
Hongzhe Li, University of Pennsylvania
1:40 – 2:20 pm Wearable and Implantable Technology (WIT) with Biopharmaceutical Applications
Ciprian M. Crainiceanu, Johns Hopkins University
2:20 – 2:30 pm Session 3 Discussion and Break
Session 4: Real-time/Dynamic Disease Risk Prediction
2:30 – 3:10 pm

Functional Data Analysis: Novel Statistical Methods and Applications in Medical Research
Sheng Luo, Duke University

3:10 – 3:50 pm Precision Medicine: Subgroup Identification in Longitudinal Pharmacogenetic Studies
Lei Liu, Washington University in St. Louis
3:50 – 4:00 pm

Session 4 Discussion and Break

Session 5: Electronic Health Records (EHR) based Real World Evidence (RWE)
4:00 – 4:40 pm Machine Learning Amidst Health Record Data Irregularity: Subgrouping in Dimensions of Space and Time
Jeremy Weiss, Carnegie Mellon University
Session 6: Interpretable Machine and Deep Learning: Theory and Applications in Healthcare
4:40 - 5:20 pm Causal Inference and the Role of Machine Learning 
David Benkeser, Emory University
5:20 - 5:30 pm Session 5 and 6 Discussion
5:30 - 5:40 pm Concluding Remarks – Motomi Mori, Member, St. Jude Faculty, Endowed Chair, St. Jude Biostatistics

For updates on COVID-19, please read.