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The MIT Media Lab Space Exploration Initiative is developing “The Interplanetary Cookbook”—a collection of thought-provoking recipes, too...
Leveraging sneaker culture to influence civic engagement. Marginalized groups have influence on digital platforms but are often unhe...
It is increasingly hard for adults and children alike to be attentive given the increasing amounts of information and distractions surrou...
The SNAPSHOT study seeks to measure Sleep, Networks, Affect, Performance, Stress, and Health using Objective Techniques. It is an NIH-fun...
AlterEgo is a non-invasive, wearable, peripheral neural interface that allows humans to converse in natural language with mach...
The Guardians project aims to use the same game design principles used in mobile game platforms to create greater engagement with individ...
A wearable olfactory display that monitors cardio-respiratory information to support mental wellbeing.BioEssence is a novel wearable olfa...
Lab on Body, Synthetic Biology, and Bio-Digital Systems for Health and Human Enhancement
Wearables are being widely researched for monitoring individual's health and wellbeing. Current generation wearable devices sense an indi...
Recent advances in artificial limbs have resulted in the provision of powered ankle and knee function for lower extremity amputees and po...
The human ankle provides a significant amount of net positive work during the stance period of walking, especially at moderate to fast wa...
Although there have been great advances in the control of lower extremity prostheses, transitioning between terrains such as ramps or sta...
Lower-extremity amputation surgery has not seen significant change since the Civil War. This research is focused on the development of no...
Optogenetic techniques have recently been applied to peripheral nerves as a scientific tool with the translatable go...
Nerve-Muscle Graft Chamber and micro-channel arrays tor interface to peripheral nerves for prosthesis control. This research effort ...
Three-dimensional Digital Image Correlation (3D-DIC) is a non-contact optical-numerical technique for evaluating the dynamic m...
The delivery of mental health interventions via ubiquitous devices has shown a lot of promise. A natural conversational interface that al...
Our published research findings listed below share key examples for reducing dependence on specialized medical devices, biological &...
A Case for Breastfeeding InnovationBreastfeeding saves lives.If women globally were able to meet the WHO's public health goal to exclusiv...
Can a person look at a portable display, click on a few buttons, and recover his or her refractive condition? Our optometry solution comb...
Asthma is the most common chronic illness among children. The skills required to diagnose it make it an even greater concern. Our solutio...
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...
This study aims to bring objective measurement to the multiple "pulse" and "pulse-like" measures made by practitioners of traditional Chi...
The goal of this project is to apply machine learning methods to model the wellbeing of MIT undergraduate students. Extensive data is obt...
The relationship between breathing and self-reported stress is bidirectional. Respiration pattern is an indicator of stress, but it can a...
A learning framework for secure, decentralized, computationally efficient data and model sharing among multiple robot units installed at...
Swarms of robots will revolutionize many applications, from targeted material delivery to farming. However, the characteristics that make...
We introduce SkinBot: a lightweight robot that moves over the skin's surface with a two-legged suction-based locomotion mechanism and cap...
We are creating new communication interfaces for people with speech and language disorders, incorporating technologies like physiological...
HeartBit is an interface designed for haptic heart rate biofeedback. A handheld heart beats alongside your own, mirroring the size, weigh...
NeverMind is an interface and application designed to support human memory. We combine the memory palace memorization method with augment...
We present PsychicVR, a proof-of-concept system that integrates a brain-computer interface device and virtual reality headset to improve ...
In the United States, there are an estimated 1.7 million people living with amputation, with that number expected to double by 2050. Com...
Lyme disease is the most common vector-borne infection in North America. People are infected when bitten by ticks; ticks are typically in...
Nearly all classes of wearable and implantable biomedical devices depend on battery power for continuous operation. However, the life spa...
Although significant progress is being made in identifying pH sensing materials and device configurations, a standard protocol for ...
We are providing our tools to the community, and also using them within our lab, to analyze how specific brain mechanisms (molecular, cel...
The brain is a three-dimensional, densely-wired circuit that computes via large sets of widely distributed neurons interacting at fast ti...
We have pioneered the development of fully genetically encoded reagents that, when targeted to specific cells, enable their physiology to...
New technologies for recording neural activity, controlling neural activity, or building brain circuits, may be capable someday of servin...
Today’s health sensors (which monitor breathing, heartbeats, steps, etc.) require their users to wear them on their bodies. In contrast, ...
inSight is a brain decoding system. It uses generative models (BigGAN and MusicVAE) to stimulate the brain with synthetic, but natu...
We have described validation of novel machine learning architectures for designing faster, safer, and more efficacious digital medicines ...
Sleep is a forgotten country of the mind. A vast majority of our technologies are built for our waking state, even though a third of our ...
Future of clinical development is on the verge of a major transformation due to convergence of large new digital data sources, the comput...
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...
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 ...
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automat...
Two-dimensional radiographs are commonly used for evaluating sub-surface hard structures of teeth, but they have low sensitivity for earl...
This project seeks to examine the effects of altered gravity on an individual’s physiology during parabolic flight. Specifically, we will...
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...
Open Algorithms (OPAL)
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, ...
We report a novel method that processes biomarker images collected at the point of care and uses machine learning algorithms to provide a...
The Mediated Atmosphere project envisions a smart office that is capable of dynamically transforming itself to enhance occupants' work ex...
Improvements in ingestible electronics with the capacity to sense physiological and pathophysiological states have transformed the standa...