About

MIT Watson AI Lab, Cambridge, MA

On Friday April 26th, Brown University and IBM Research are co-hosting the 3rd NorthEast Computational Health Summit (NECHS) focused on the latest developments in Personal and Population Health in the Digital Era. The goal of the summit is to foster communication and collaboration among clinicians, medical informaticists, and computational researchers in the northeast.

The summit will feature two invited keynotes:

  • Susan Murphy, Professor of Statistics, Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University
  • Peter Embi, President & CEO Regenstrief Institute; Associate Dean for Informatics & Health Services Research, Indiana University School of Medicine

There will also be an invited panel presentation led by Benjamin Marlin of the University of Massachusetts, Amherst as well as submitted papers and posters on various aspects of digital health including deep learning, observational studies, predictive modelling, translational informatics, patient engagement and health behavior.

There will be ample time for less formal interactions during lunch, as well as during the poster session and breaks.

Call For Participation

We invite submissions of abstracts describing all aspects of research relating to design and implementation of Personal and Population Health in the Digital Era. This encompasses relevant tasks in data mining, data analytics, data science, natural language processing and machine learning as well as explanatory models. The primary emphasis is on advances in the science and application of AI in healthcare. Submitted abstracts will go through a peer review process and will be selected for either podium or poster presentations by the review committee. Some poster presentations will also be selected for a short oral spotlight presentation prior to the poster session.

Submissions

Submissions are limited to a total of 1 page, including all content and references.

Key Dates

  • Abstracts due: extended to 3/25/2019Submission Closed
  • Notification Date: 04/05/2019.
  • Meeting Date: 04/26/2019

Attendance

For each accepted paper or poster, at least one author must attend the conference and present the paper/poster. There will be no official publication of papers, however, podium presentations will be video-taped and presenters will be asked to sign a release form to allow the videos to be made available on the conference web site.

While we are seeking to showcase new work, our summit does allow submission of papers that are under review or have been recently published in a conference or a journal.

Schedule

8:45-9:00 AM Welcome and Opening Remarks
Conference Chairs: Neil Sarkar, Jianying Hu, Amar Das
9:00-10:00 AM Keynote : Susan Murphy
Challenges in Developing Learning Algorithms to Personalize Treatment in Real Time
10:00-10:20 AM Coffee Break
10:20-12:00 PM Panel – From Data Collection to Algorithms:
A Discussion of Learning in the Presence of Label Scarcity
Moderator: Benjamin Marlin
Panelists: Stephen Bach, Justin Baker, Pei-yun S. (Sabrina) Hsueh, Michael Hughes & Megan Ranney
12:00-1:00 PM Lunch
1:00-2:00 PM Poster Session
2:00-3:30 PM Podium Presentations - Contributed Papers    
3:30-3:45 PM Transition to Brown Center for Biomedical Informatics (BCBI) Symposium
– Neil Sarkar
3:45-4:00 PM Break – Relocate to 222 Richmond Street
(Note: 222 Richmond Street is adjacent to 350 Eddy Street and NECHS Attendees are invited to attend Peter Embi’s keynote there, as well as listen to the BCBI student presentations)
4:00-4:30 PM State of the Center Address – Neil Sarkar (Room 160)
4:30-5:30 PM Keynote Address - Peter Embi (Room 160)
Leveraging Informatics to Create Learning Health Systems: Now, it's Personal!

Featured Keynotes

  • Susan Murphy, PhD

    Professor of Statistics, Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University

  • Peter Embi, MD, MS

    President & CEO Regenstrief Institute;
    Associate Dean for Informatics & Health Services Research,
    Indiana University School of Medicine

Featured Panelists

  • Benjamin Marlin, PhD (Moderator)

    Associate Professor,
    University of Massachusetts Amherst

  • Stephen Bach, PhD

    Assistant Professor, Computer Science,
    Brown University

  • Justin Baker, MD, PhD

    Assistant Professor of Psychiatry, Harvard Medical SchoolScientific Director,
    Institute for Technology in Psychiatry, McClean Hospital

  • Pei-yun S. (Sabrina) Hsueh, PhD

    Research Staff Member,
    IBM Research

  • Michael Hughes, PhD

    Assistant Professor, Computer Science,
    Tufts University School of Engineering

  • Megan Ranney, MD, MPH

    Associate Professor of Health Services, Policy and Practice,
    Associate Professor of Emergency Medicine, Brown University

Summit Chairs

Neil Sarkar, PhD, MLIS
Center for Biomedical Informatics,Brown University
Amar Das, MD, PhD
Learning Health Systems, IBM Research
Jianying Hu, PhD
Center for Computational Health, IBM Research AI

Organizing Committee

Eileen Koski Samantha Plouffe Katie Brown Prithwish Chakraborty
Ching-Hua Chen Elizabeth S. Chen James Codella Carsten Eickhoff
Aaron Eisman Hamish S Fraser Morgan Foreman

Podium Presentations

2:00–2:15 PM FADL: Federated-Autonomous Deep Learning for Distributed Electronic Health Record 
Dianbo Liu, Timothy Miller, Raheel Sayeed and Kenneth D. Mandl, Computational Health Informatics Program, Boston Children’s Hospital and Harvard Medical School
2:15–2:30 PM Federated Learning to Predict Adverse Drug Reactions with Distributed Health Data Olivia Choudhury, Yoonyoung Park, Theodoros Salonidis, Aris Gkoulalas-Divanis, Issa Sylla, Amar K. Das, IBM Research
2:30–2:45 PM Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records Xinyu Dong, Sina Rashidian, Yu Wang, Janos Hajagos, Xia Zhao, Richard N. Rosenthal, Mary Saltz, Joel Saltz, Fusheng Wang, Stony Brook University
2:45–3:00 PM Personalized, Longitudinal Assessment of Chronic Pain Using Spontaneous Speech Production at Home Rachel Ostrand, Sara Berger, & Guillermo Cecchi, IBM Research
3:00–3:15 PM Cadre models for subpopulation-specific hypertension risk factors Alexander New and Kristin Bennett, Rensselaer Polytechnic Institute
3:15–3:30 PM Winning the Partners Healthcare Biobank Disease Challenge: AI for electronic health records Prithwish Chakraborty, Kristen Sverson and Daby Sow, IBM Research