FEATURED STORY | Incubator
Fighting Misinformation: The Preprint Sifter
The Preprint Sifter is a new Twitter tool that tracks down Tweets from leading epidemiologists, virologists, public health and other experts who are posting, vetting and verifying COVID-19 related preprint papers.
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Sustainable Business Models for AI in Health
Digital health and AI tools have skyrocketed since the start of the COVID-19 pandemic. The potential is enormous – yet the long term scalability and sustainability of these innovations remains unknown. As the digital health space propels forward, key questions remain on how we can create an environment where innovators thrive and governmental policies support sustainable business models. In this panel discussion, speaker reflected on the types of partnerships and structures needed to ensure high-impact products reach those most in need, and tools which improve health outcomes continue to do so well beyond the pandemic. -
HarvardX: Confronting COVID-19 - Class 7: Stories from the Frontline: Clinical and Hospital Response
OVERVIEW: Outbreaks of COVID-19 in the US and around the globe tested the capacities of hospitals and health systems to meet rising demand for emergency care. Further, the risk of transmission of the virus, radically altered the environment for these institutions to deliver ongoing and elective care. This session will bring frontline care-givers and hospital leaders to review and assess their approaches to meeting surge conditions in their institutions, as well as the longer term impact of COVID-19 on health care delivery.
GUEST FACULTY:
● Katrina Armstrong - Jackson Professor of Clinical Medicine, Harvard Medical School; Chair
of the Department of Medicine and Physician-in-Chief of Massachusetts General Hospital
● Paul Biddinger - Vice Chairman for Emergency Preparedness in the Department of
Emergency Medicine, Massachusetts General Hospital
● Mike Klompas - Associate Professor, Harvard Medical School; Brigham and Women’s
Hospital
● Claire-Cecile Pierre - Instructor in Global Health and Social Medicine; Director of the
Program in Global Health Systems Strengthening and Social Change, Harvard Medical
School; Instructor, Cambridge Health Alliance -
HarvardX: Confronting COVID-19 - Class 6: Diagnosis and Testing
OVERVIEW: The technical ability to test for and diagnose an epidemic disease has historically been a crucial aspect of both public health and medical approaches. This has clearly been the case with COVID-19. This class will explore the science and technology of testing for COVID-19, as well as the problems and possibilities that testing offers for mitigating the epidemic. We will also learn about the accuracy of alternative tests and difficulties in making tests accessible. GUEST FACULTY:
● Margaret Bourdeaux - Research Director, Security and Global Health Project, Harvard Belfer Center, Harvard Kennedy School; Associate Physician, Brigham and Women’s Hospital
● Michael Mina - Assistant Professor of Epidemiology, Harvard T. H. Chan School of Public Health, core member of the Center for Communicable Disease Dynamics (CCDD); Assistant Professor in Immunology and Infectious Diseases at HSPH, and Associate
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Medical Director in Clinical Microbiology (molecular diagnostics) in the Department of
Pathology at Brigham and Women’s Hospital, Harvard Medical School
● Pardis Sabeti - Professor at the Center for Systems Biology and Department of
Organismic and Evolutionary Biology, Harvard University and the Department of Immunology and Infectious Disease, Harvard School of Public Health and Broad Institute Member -
HarvardX: Confronting COVID-19 - Class 5: Epidemiology and Modeling
OVERVIEW: A central element of all epidemics has been strategies to understand their cause and the character of their spread; as well as to assess their impact on patterns of illness and death. This session will explore how experts in the field of epidemiology and disease modeling have addressed COVID-19 and their approaches to understanding it’s dynamics and trajectory.
GUEST FACULTY:
● Caroline Buckee - Associate Professor of Epidemiology, Harvard T.H. Chan School of
Public Health
● William Hanage - Associate Professor of Epidemiology, Harvard T.H. Chan School of
Public Health
● Maimuna Majumder - Faculty at Computational Health Informatics Program (CHIP);
Research Associate, Harvard Medical School
