INTERACTIVE DEMOS

11:15 AM - 12:50 PM

ALL OF US RESEARCH PROGRAM DATA BROWSER: A RESOURCE FOR BRIGHAM AND BEYOND

CONTACT:

Meg R. Bor
Marketing and Communications Manager
Partners HealthCare
Partners Personalized Medicine

PERSON TABLING:

Meg R. Bor

The All of Us Research Program (AoURP) is a historic effort to gather data from one million or more people living in the United States to accelerate research and improve health. Brigham and Women’s Hospital, Massachusetts General Hospital and Boston Medical Center are collaborating as All of Us New England (AoUNE). By taking into account individual differences in lifestyle, environment, and biology, researchers will uncover paths toward delivering precision medicine. By enrolling one million or more volunteers, the AoURP will have the scale and scope to enable research for a wide range of diseases, both common and rare, as well as increase our understanding of healthy states. A critical component of the AoURP is the access to the data and research that is collected. Varying levels of access to the data (depending on individual credentials and clearances) will be granted to doctors, researches, scientists and citizen scientists alike, all across the country, via the All of Us Data Browser. This interactive tool will allow researchers to see de-identified participant demographics, health histories, and search for any health condition within the data set. There is a significant opportunity for researchers to utilize this data to inform on-going and future research initiatives right here at Brigham and Women’s Hospital.

Canary

CONTACT:

Alexander Turchin, MD, MS
Division of Endocrinology, Department of Medicine
Brigham and Women’s Hospital

PERSON TABLING:

Alexander Turchin, MD, MS

Canary is a free / open-source platform for development of natural language processing (NLP) tools. It is a GUI-based software that is oriented towards researchers, clinicians and analysts who do not have computer science background to empower them to create their own natural language processing tools. Canary supports many advanced NLP features, such as extraction of concept-value pairs (e.g. blood pressure or left ventricular ejection fraction) and identification of concepts distributed across multiple sentences). Canary implements parallel processing and achieves speeds of 1 MB of text / minute / CPU core. It has been downloaded by hundreds of users across the world and has been used in a number of research studies.

Know Your Pregnancy Profile Screen (KYPPS)

CONTACT:

Thomas McElrath, MD, PhD
Department of OB-GYN
Brigham and Women’s Hospital

PERSON TABLING:

Thomas McElrath, MD, PhD

Many of the processes that predispose a pregnancy to a high-risk outcome (preterm labor, preeclampsia) have their pathophysiologic origins in the end of the first trimester. Circulating microparticles (including exosomes) contain protein-based information that signals the state and health of the early gestational tissue. By isolating these proteins from the maternal peripheral circulation, we have developed a test for the later occurrence of preterm labor and preeclampsia. Importantly, this technology is generalizable to other conditions in pregnancy and thereby offers the future possibility to develop a unique personalization for each patient regarding her potential for later pregnancy related complications.

MEDITATION AND YOGA: THE SCIENCE, RESEARCH AND SIMPLE PRACTICE

PRESENTATION BY:

Suzie Bertisch, MD
Division of Sleep Medicine, Department of Medicine
Brigham and Women’s Hospital
Harvard Medical School

YOGA INSTRUCTOR:

Karen Barbarisi
Massachusetts General Hospital
Revere Wellness Center

Yoga and meditation/mindfulness are behavioral practices that develop and enhance mind-body skills and behavioral factors including physical functioning, awareness/mindfulness, self-regulation of internal physiological and psychological states, and life meaning and purpose. This presentation will review some of the basic science underlying the psychophysiology of yoga practices and describe some of the cutting edge biomedical research studies. We will also overview the BWH research on the benefits of yoga as a workplace/employee practice to enhance resilience and well-being and reduce stress and burnout, which has become a significant issue in modern medicine. Practice of a few simple chair yoga and meditation practices appropriate for beginners will also be included.

Sessions:
Powerpoint 11:15 to 11:40, Chair yoga 11:40 to 12:00
Powerpoint 12:05 to 12:30, Chair yoga 12:30 to 12:50

SPINE VIRTUAL LABORATORY

CONTACT:

Charles R.G. Guttmann, MD
Department of Radiology
Brigham and Women’s Hospital

PERSON TABLING:

Charles R.G. Guttmann, MD
Miklos Palotai, MD
Michele Cavallari, MD,PhD
Andrzej Marciniak, PhD
Alfredo Morales Pinzon, PhD

Interactive demonstration of a citizen science platform that enables anyone to contribute to scientific discovery. Participants can learn about brain diseases and acquire expert skills in MRI analysis with which they can contribute to the better understanding of these diseases. The platform includes a web-based virtual laboratory, a connected online game, as well as a real-time presenter of results.

How to Handle a Medical Emergency on a Deep Space Mission

CONTACT:

Steven Yule, PhD
STRATUS Center for Medical Simulation
Department Emergency Medicine
Department of Surgery
Harvard Medical School

PERSON TABLING:

Roger Dias, MD, MBA, PhD
Charles Pozner, MD
Steven Yule, PhD

STRATUS Center for Medical Simulation and NASA’s National Biomedical Research Institute have partnered to develop non-technical skills measurement tools and a medical simulation platform to prepare astronauts to deal with medical events on long duration space missions and enhance crew management on in-flight medical emergencies. The multidisciplinary team at STRATUS built a simulated medical bay to the exact specifications of the module on the International Space Station. During the demo, participants will have the opportunity to talk with our researchers and observe the application of cutting-edge technologies, such as wearable physiological sensors and artificial intelligence (computer vision) for research, training and assessment.