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Fadel Adib talks to CBS about a project from the Signal Kinetics group that aims to democratize food quality and safety testing.
Converting the patterns of nature and the human body into beneficial signals and energy
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...
Promoting deeper learning and understanding in human networks
We have developed a wireless system that leverages the inexpensive RFID tags already on hundreds of billions of products to sense potent...
Designing for, with, and by nature
Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection
Revealing insights into the human condition and repairing brain disorders via novel tools for mapping and fixing brain computations
Creating technology for social change
Advancing wellbeing by using new ways to communicate, understand, and respond to emotion
Augmenting and mediating human experience, interaction, and perception with sensor networks
Enhancing human physical capability
Extending expression, learning, and health through innovations in musical composition, performance, and participation
Extending human and computer abilities in sensing, communication, and actuation through signals and networks
Health 0.0
Advancing justice in Earth's complex systems using designs enabled by space
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...
Changing storytelling, communication, and everyday life through sensing, understanding, and new interface technologies
Exploring evolutionary and ecological engineering
Reimagining human cooperation in the age of social media and artificial intelligence
Designing wearable systems for cognitive enhancement and personal development
Open Agriculture Initiative (OpenAg)
Cummings School and MIT are working with Massachusetts citizens to deploy immune mice as frontline soldiers in the war against the disease.
Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
Assisting physicians and patients by novel computational processes at the point-of-care.
ML Learning
We now have more challenging choices to make than simply whether to be vegan, pescatarian or carnivore, thanks to technology.
'Affective computing' measures subtle changes in stress and mental health.
Wearables are already replacing traditional drugs and therapies—this year, they'll go further still.
Global climate change is projected to change our planet this century and beyond.
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 ...
K. Angelino, D. A. Edlund, P. Shah. Near-Infrared Imaging for Detecting Caries and Structural Deformities in Teeth. Journal of Translational Engineering in Health and Medicine. 10.1109/JTEHM.2017.2695194
G. Yauney, K. Angelino, D. A. Edlund, P. Shah. "Convolutional Neural Network for Combined Classification of Fluorescent Biomarkers and Expert Annotations using White Light Images." 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering. 2017. DOI: 10.1109/BIBE.2017.00-37
E. Yee, S. Lathwal, P. Shah, H. Sikes. "Detection of biomarkers of periodontal disease in human saliva using stabilized, vertical flow immunoassays." ACS sensors 2.11 (2017): 1589-1593. DOI: 10.1021/acssensors.7b00745
Aman Rana, Yauney G, Lowe A, Shah P. IEEE Xplore, Proceedings of 2018 17th International Conference on Machine Learning and Applications (Conference acceptance rate: 14%)
Perikumar Javia, Rana A, Shapiro NI, Shah P. IEEE Xplore, Proceedings of 2018 17th International Conference on Machine Learning and Applications (Conference acceptance rate: 14%)
Our published research findings listed below share key examples for reducing dependence on specialized medical devices, biological &...
Creating sociotechnical systems that shape our urban environments
B. E. Maimon, K. Sparks, S. S. Srinivasan, A. N. Zorzos, H. M. Herr, Spectrally distinct channelrhodopsins for two-colour optogenetic peripheral nerve stimulation. Nature Biomedical Engineering 2, 485–496 (2018).
Building socially engaging robots and interactive technologies to help people live healthier lives, connect with others, and learn better
What if we could drastically reduce the amount of data needed to train an AI, making diagnoses low-cost and more effective?
Advancing Wellbeing
CE 2.0
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...
Dementyev A., Hernandez J., Choi I., Follmer S., Paradiso J., "Epidermal Robots: Wearable Sensors That Climb On The Skin" In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2 (3), September 2018.
P. Shah*, G. Yauney*, O. Gupta, V. Patalano II, M. Mohit, R. Merchant, SV Subramanian. "Technology-enabled examinations of cardiac rhythm, optic nerve, oral health, tympanic membrane, gait and coordination evaluated jointly with routine health screenings: an observational study at the 2015 Kumbh Mela in India." BMJ Open 2018;8:e018774. DOI: 10.1136/bmjopen-2017-018774 * Equal contribution.
Climate change presents a grave threat to overall human well-being, including mental health.
A. Dementyev, J. Hernandez, S. Follmer, I. Choi, and J. Paradiso. "SkinBot: A Wearable Skin Climbing Robot." ACM User Interface Software and Technology Symposium, October 2017.