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RECENT VIDEOS

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11.20.2014
36 mins
ILP Video

Startup Panel Discussion -- Models and Perspectives on Mutual Value Creation with Corporations

Trond Undheim
Andrej Danko
Hilton Pryce Lewis
Agustin Lopez Marquez
Vitor Pamplona
Dipul Patel
Part of harnessing innovation globally is accessing knowledge discovery occurring at startups around the world. This panel discussion will gather MIT startups in various industry sectors to grapple with questions such as the following: How do startups source knowledge? What are startups looking to gain from their relationship with corporations? How can corporations work best with startups?

Moderator
Trond Undheim, Ph.D., Lead, Startup Initiative, MIT ILP

Panelists
Andrej Danko, Chief Software Architect, Sourcewater
Hilton Pryce Lewis, Founder and CEO, GVD Corporation
Agustin Lopez Marquez, Founder and CTO, SQZ Biotechnologies
Vitor Pamplona, Co-founder and CTO, EyeNetra
Dipul Patel, Co-Founder and CEO, Ecovent
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11.20.2014
38 mins
ILP Video

Sensors for Tracking Behavior and Mental Health

Richard Fletcher
Research Scientist
MIT Development Through Dialogue, Design and Dissemination
A fundamental component of health and wellness is to measure and potentially improve human behavior and mental health. Most of the chronic diseases afflicting billions of people in the world, and consuming much of our health care spending, are directly caused by problems in human behavior and mental health. Examples include: cardiovascular disease, type-2 diabetes, anxiety disorders/stress, and substance abuse. A long-term goal of technology is not just to measure our vital signs but to help us improve out lifestyle and prevent disease.

In this talk, I present some emerging technology from our lab that is designed to measure various aspects of everyday human behavior, such as television watching, sleep, and environmental stimuli (noise, light) that can impact our physical and mental health. While some of these technologies have traditionally been used in industry as part of "consumer research" or "advertising research," it is now becoming an important component of our health care system, as we move towards preventative health and begin to address mental health. I will also describe some early work our group is doing to screen for mental health disorders via wearable sensors and mobile devices.
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11.20.2014
39 mins
ILP Video

Revolutionizing Medical Device Design

Charles Sodini
Clarence J LeBel Professor of Electrical Engineering
MIT Department of Electrical Engineering and Computer Science
The vision of the MIT Medical Electronic Device Realization Center (MEDRC) is to revolutionize medical diagnostics and treatments by bringing health care directly to the individual and to create enabling technology for the future information-driven healthcare system. This vision will in turn transform the medical electronic device industry. Specific areas that show promise are wearable or minimally invasive monitoring devices, medical imaging, portable laboratory instrumentation, and the data communication from these devices and instruments to healthcare providers and caregivers.

Rapid innovation in miniaturization, mobility, and connectivity will revolutionize medical diagnostics and treatments, bringing health care directly to the individual. Continuous monitoring of physiological markers will place capability for the early detection and prevention of disease in the hands of the consumer, shifting to a paradigm of maintaining wellness rather than treating sickness. Just as the personal computer revolution has brought computation to the individual, this revolution in personal medicine will bring the hospital lab and the physician to the home, to emerging countries, and to emergency situations. These system solutions containing state-of-the-art sensors, electronics, and computation will radically change our approach to health care. This new generation of medical systems holds the promise of delivering better quality health care while reducing medical costs.

In this talk I will introduce the research directions of the MEDRC and discuss the circuit and system design issues and clinical measurements from selected MEDRC projects highlighting wearable monitoring.
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11.20.2014
32 mins
ILP Video

Model-based Physiologic Monitoring: Leveraging Real-time Data and Models for Improved Clinical Inference

Thomas Heldt
Assistant Professor of Electrical Engineering and Computer Science
Hermann von Helmholtz Career Development Assistant Professor
Principal Investigator, Research Laboratory of Electronics (RLE)
Large volumes of multivariate physiologic data can now be routinely acquired from patients using wearable and non-wearable sensor systems. To leverage such volumes of data for improved clinical care, a key question needs to be addressed, namely how to turn the raw data streams into clinically actionable information. One approach is to mine the data from a large population of subjects to identify features and patterns that might be indicative of certain conditions. A complimentary approach focuses on our knowledge of the relevant physiology to build mathematical models of the functional relationships between different signals. These models can then be used to summarize the data streams and to estimate parameters that are of direct clinical interest.

In this talk, I will describe our work in model-based physiologic monitoring and highlight recent progress in estimating important cardiac and neurovascular properties from readily available bedside monitoring data streams.
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11.20.2014
24 mins
ILP Video

Health-Tech Innovation

Anshuman Das
Postdoctoral Associate
Head, Camera Culture Group
MIT Media Lab
The Camera Culture Group at the MIT Media Lab aims to create a new class of imaging platforms, making the invisible visible by using a new generation of cameras to see outside and inside our bodies. The group accomplishes this goal in 2 ways: by building affordable health diagnostics and by organizing health-tech partnerships to bring together MIT’s excellence in technology, innovation, engineering and entrepreneurship with global community partners skilled in providing quality health care.

One diagnostic, EyeNetra, is a mobile phone attachment that allows users to test their own eyesight. The device reveals corrective measures thus bringing vision to billions of people who would not have had access otherwise. Another project, eyeMITRA, is a mobile retinal imaging solution that brings retinal exams to the realm of routine care, by lowering the cost of the imaging device to a 10th of its current cost and integrating the device with image analysis software and predictive analytics. This provides early detection of Diabetic Retinopathy that can change the arc of growth of the world’s largest cause of blindness.

The health-tech partnerships aim to create community-responsive, patient-centric, innovative technology solutions to address pressing health challenges, locally engage and develop the next generation of entrepreneurs, engineers, and researchers within partner communities, foster a strategically structured global ecosystem for purposeful innovation, significantly accelerate the development and deployment of targeted, cost-effective, globally scalable health technologies for first-mover advantage, and to deploy new health technologies that stand to disrupt and greatly improve the way health care is practiced in both partner communities and around the world.

At the foundational core of these HealthTech collaborative partnerships will be MIT-facilitated weeklong “boot camps” held on-location in global partner communities. In addition to sharing information on the co-development model, Ramesh Raskar will also share success stories from several of his group members and from other “bootcamp” participants.
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