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EngageME: Personalized machine learning and humanoid robots for measuring affect and engagement of children with autismEngageME is a proj...
In-Vivo Networking (IVN) is the new technology that can wirelessly power and communicate with tiny devices implanted deep within the...
We have developed a wireless system that leverages the inexpensive RFID tags already on hundreds of billions of products to sense potent...
We have pioneered the development of fully genetically encoded reagents that, when targeted to specific cells, enable their physiology to...
PAL (Personalized Active Learner) is a wearable system with on-device machine learning to help users with real-time, perso...
General overview:Sepsis, a life-threatening complication of bacterial infection, leads to millions of worldwide deaths requires significa...
General OverviewStaining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various ...
Our published research findings listed below share key examples for reducing dependence on specialized medical devices, biological &...
The human experience of food extends far beyond that of mere nourishment. Debriefs with astronauts tell us that food is a key, creat...
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automat...
In our published research findings we describe validation of novel machine learning architectures, with automated learning and prediction...
Two-dimensional radiographs are commonly used for evaluating sub-surface hard structures of teeth, but they have low sensitivity for earl...
Nerve-Muscle Graft Chamber and micro-channel arrays tor interface to peripheral nerves for prosthesis control. This research effort ...
Optogenetic techniques have recently been applied to peripheral nerves as a scientific tool with the translatable go...
This project seeks to examine the effects of altered gravity on an individual’s physiology during parabolic flight. Specifically, we will...
Pharmaceutical clinical development is on the verge of a major revolution due to the convergence of large new data sources, the computing...
Technical summaryUnstructured learning problems without well-defined rewards are unsuitable for current reinforcement learning (RL) appro...
We have developed a new process to screen patients at the point-of-care with FDA-approved technology-enabled mobile health screenings (TE...
Complex biological systems such as brain circuits are extended 3-D structures made out of nanoscale building blocks such as proteins, RNA...
We introduce SkinBot: a lightweight robot that moves over the skin's surface with a two-legged suction-based locomotion mechanism and cap...
Privacy-preserving mHealth application using Open Algorithm (OPAL) architecture to address urgent care challenges in Riyadh, Saudi Arabia.
In this project, we are motivated to address clinical trials issues using Blockchain technology. We propose, OPEN TrialChain, a privacy-p...
Open Algorithms (OPAL)
Achieving a safe privacy-preserving information sharing environment for individualized care using blockchain-based technology in multiple...
Although significant progress is being made in identifying pH sensing materials and device configurations, a standard protocol for ...
Recent advances in medications for neurodegenerative disorders are expanding opportunities for improving the debilitating symptoms suffer...
Continuous localized tissue monitoring and disease treatmentThe ability to continuously monitor physical patterns, such as pH in the...
Humans can accurately sense the position, speed, and torque of their limbs, even with their eyes shut. This sense, known as proprioceptio...
Biomarker imaging provides non-invasive indicators of disease and is used by human experts to augment disease diagnosis. It is, however, ...
Climate change is going to alter the environments that we depend on in myriad ways. We're using data to identify and quantify these poten...
We report a novel method that processes biomarker images collected at the point of care and uses machine learning algorithms to provide a...
Swarms of robots will revolutionize many applications, from targeted material delivery to farming. However, the characteristics that make...
The Mediated Atmosphere project envisions a smart office that is capable of dynamically transforming itself to enhance occupants' work ex...
Three-dimensional Digital Image Correlation (3D-DIC) is a non-contact optical-numerical technique for evaluating the dynamic m...
Improvements in ingestible electronics with the capacity to sense physiological and pathophysiological states have transformed the standa...
Games are a uniquely human endeavour, reducing stress and supporting mental well-being. Astronauts aboard the ISS have created their own ...
The brain is a three-dimensional, densely-wired circuit that computes via large sets of widely distributed neurons interacting at fast ti...
A learning framework for secure, decentralized, computationally efficient data and model sharing among multiple robot units installed at...
A large proportion of the American population currently suffers from sleep disorders. Among them are patients with obstructive sleep apne...
A Case for Breastfeeding InnovationBreastfeeding saves lives. If women globally were able to meet the WHO's public health goal to e...
We built a low-cost and open source 405 nm imaging device to capture red fluorescence signatures associated with the oral biomarker porph...
Paper diagnostics can be used for affordable and scalable biomarker detection. We propose new methods for stabilizing cellulose-based imm...
The SNAPSHOT study seeks to measure Sleep, Networks, Affect, Performance, Stress, and Health using Objective Techniques. It is an NIH-fun...
New technologies for recording neural activity, controlling neural activity, or building brain circuits, may be capable someday of servin...
We are providing our tools to the community, and also using them within our lab, to analyze how specific brain mechanisms (molecular, cel...
Nearly all classes of wearable and implantable biomedical devices depend on battery power for continuous operation. However, the life spa...
The delivery of mental health interventions via ubiquitous devices has shown a lot of promise. A natural conversational interface that al...
In collaboration with Massachusetts General Hospital, we are conducting a clinical trial exploring objective methods for assessing depres...
Lyme disease is the most common vector-borne infection in North America. People are infected when bitten by ticks; ticks are typically in...
Lower-extremity amputation surgery has not seen significant change since the Civil War. This research is focused on the development of no...
Recent advances in artificial limbs have resulted in the provision of powered ankle and knee function for lower extremity amputees and po...
Responsive Science is a way of conducting research that invites openness and community involvement from the earliest stages of each proje...
Today’s health sensors (which monitor breathing, heartbeats, steps, etc.) require their users to wear them on their bodies. In contrast, ...
The relationship between breathing and self-reported stress is bidirectional. Respiration pattern is an indicator of stress, but it can a...
In the United States, there are an estimated 1.7 million people living with amputation, with that number expected to double by 2050. Comp...
Skin and tissue perfusion measurements are important parameters for diagnosis of wounds and burns, and for monitoring plastic and reconst...
The goal of this project is to apply machine learning methods to model the wellbeing of MIT undergraduate students. Extensive data is obt...
Although there have been great advances in the control of lower extremity prostheses, transitioning between terrains such as ramps or sta...
Can a person look at a portable display, click on a few buttons, and recover his or her refractive condition? Our optometry solution comb...
This study aims to bring objective measurement to the multiple "pulse" and "pulse-like" measures made by practitioners of traditional Chi...
Asthma is the most common chronic illness among children. The skills required to diagnose it make it an even greater concern. Our solutio...
We are performing long-term measurements of autonomic nervous system (ANS) activity on patients with epilepsy. In certain cases, autonomi...
The human ankle provides a significant amount of net positive work during the stance period of walking, especially at moderate to fast wa...
Panoply is a crowdsourcing application for mental health and emotional wellbeing. The platform offers a novel approach to computer-based ...
Mental wellbeing is intimately tied to both social support and physical activity. The Challenge is a tool aimed at promoting social conne...