health
art
human-machine interaction
learning
artificial intelligence
robotics
architecture
consumer electronics
design
technology
kids
music
networks
wearable computing
politics
entertainment
bioengineering
economy
cognition
history
archives
data
human-computer interaction
social science
machine learning
storytelling
sensors
interfaces
space
environment
computer science
covid19
developing countries
prosthetics
engineering
wellbeing
privacy
social robotics
ethics
civic technology
social media
civic media
imaging
synthetic biology
communications
urban planning
neurobiology
augmented reality
public health
affective computing
virtual reality
biology
transportation
energy
community
data visualization
biotechnology
social change
computer vision
industry
ocean
3d printing
alumni
food
blockchain
genetics
government
manufacturing
agriculture
biomechanics
medicine
gaming
zero gravity
prosthetic design
data science
construction
fashion
behavioral science
creativity
banking and finance
security
materials
open source
crowdsourcing
cryptocurrency
systems
social networks
climate change
racial justice
collective intelligence
wiesner
makers
internet of things
language learning
performance
fabrication
neural interfacing and control
bionics
interactive
ecology
autonomous vehicles
women
cognitive science
perception
nonverbal behavior
civic action
physiology
mapping
extended intelligence
physics
visualization
human augmentation
startup
holography
gesture interface
long-term interaction
diversity
marginalized communities
sports and fitness
networking
autism research
point of care
voice
orthotic design
trust
natural language processing
electrical engineering
hacking
clinical science
water
pharmaceuticals
mechanical engineering
nanoscience
clinical trials
microfabrication
primary healthcare
mechatronics
trade
member company
academia
member event
rfid
open access
gender studies
soft-tissue biomechanics
chemistry
microbiology
real estate
randomized experiment
publishing
biomedical imaging
gis
event
exhibit
cartography
metamaterials
installation
Looking beyond smart cities
The MIT Center for Collective Intelligence, MIT Media Lab’s Community Biotechnology Initiative, and MilliporeSigma—the lif...
Designing systems for cognitive enhancement
We are presenting the WorkOut Sensor Node Assistant (WOSNA), a body sensor net composed of many tiny sensor nodes that can suck on the sk...
It was believed that functionalities of G protein-coupled receptors (GPCRs) require full-length sequences which are negated by residue de...
Special Announcement: Call for Letters of Intent to Operate the Space Sustainability RatingThe Consortium Designing the Space Sustainabi...
We present PsychicVR, a proof-of-concept system that integrates a brain-computer interface device and virtual reality headset to improve ...
Unexpected findings in chemokine receptors once believed to be non-functional open up new fields of scientific inquiry.
Expert panelists discuss lessons learned from COVID-19 and progress made to better prepare our public health systems.
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 (2017). PMID: 28507826
K. Angelino, D. A. Edlund, G. Bhatia, S. Wu, P. Shah. IEEE 17th International Conference on Bioinformatics and Bioengineering (2017). DOI: 10.1109/BIBE.2017.00-33
K. Angelino*, P. Shah*, D. Edlund, M. Mohit, G. Yauney. BMC Oral Health 17.1: 162 (2017). PMID: 29284461. * Equal contribution
G. Yauney, K. Angelino, D. A. Edlund, P. Shah. IEEE 17th International Conference on Bioinformatics and Bioengineering (2017). DOI: 10.1109/BIBE.2017.00-37
P. Shah*, G. Yauney*, O. Gupta, V. Patalano II, M. Mohit, R. Merchant, SV Subramanian. BMJ Open (2018). 8:e018774. PMID: 29678964 * Equal contribution
A. Rana, G. Yauney, L. C. Wong, O. Gupta, A. Muftu, P. Shah. IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT). IEEE (2017). DOI: 10.1109/HIC.2017.8227605
Perikumar Javia, Rana A, Shapiro NI, Shah P. IEEE Xplore, Proceedings of 17th International Conference on Machine Learning and Applications (2018) (Conference acceptance rate: 14%). DOI: 10.1109/ICMLA.2018.00097
Aman Rana, Yauney G, Lowe A, Shah P. IEEE Xplore, Proceedings of 17th International Conference on Machine Learning and Applications (2018) (Conference acceptance rate: 14%). DOI: 10.1109/ICMLA.2018.00133
Health 0.0
Technical summary: Future of clinical development is on the verge of a major transformation due to convergence of large new digital data ...
Staining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various tissue types and...
We built a low-cost and open source 405 nm imaging device to capture red fluorescence signatures associated with the oral biomarker porph...
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 ...
A large proportion of the American population currently suffers from sleep disorders. Among them are patients with obstructive sleep apne...
Paper diagnostics can be used for affordable and scalable biomarker detection. We propose new methods for stabilizing cellulose-based imm...
Technical summaryUnstructured learning problems without well-defined rewards are unsuitable for current reinforcement learning (RL) appro...
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automat...
We have developed a new process to screen patients at the point-of-care with FDA-approved technology-enabled mobile health screenings (TE...
We report a novel method that processes biomarker images collected at the point of care and uses machine learning algorithms to provide a...
Biomarker imaging provides non-invasive indicators of disease and is used by human experts to augment disease diagnosis. It is, however, ...
iNonymize is a tele-mental health platform that uses generative AI avatars for preserving a person’s privacy and identity while allowing ...
Overview: The outermost skin of a space-based structure is designed using materials known to protect against the harsh elements of space....
Project Captivate have been designed to serve as an easy and reliable platform to measure physiology in the real world. We've des...
Advancing justice in Earth's complex systems using designs enabled by space
Space research, led by a diverse team of women scientists, will be presented at this year's AIAA Ascend Conference.
Building an open, shared, and collaborative future of lunar exploration.Explore the Lunar Open Architecture (LOA) at loa.mit.edu.&nb...
The environmental conditions of prolonged spaceflight pose significant psychological risks for astronauts. In particular, crews of future...
Wax-based hybrid rocket propellants, including paraffin (common candlewax) and beeswax show promise as high-performing hybrid rocket prop...
Extending expression, learning, and health through innovations in musical composition, performance, and participation
Enhancing human physical capability
An inventor of CRISPR-based gene drive has some advice to improve science, ethics, and the life-saving potential of these technologies.
Kevin Esvelt and other experts talk about the risks and possible benefits of using gene drives to eliminate diseases and invasive species.
Community Biotechnology
Space Exploration Initiative
Three most promising PPE solutions selected by expert judges on MIT Pandemic Response CoLab.
Promoting deeper learning and understanding in human networks
Inventing, building, and deploying wireless sensor technologies to address complex problems in society, industry, and ecology
Advance human wellbeing by developing new ways to communicate, understand, and respond to emotion
We are engineering a better healthcare system for people with diabetes and limb loss such that we can physically bridge gaps to...
InspirationSleep is a forgotten country of the mind. A vast majority of our technologies are built for our waking state, even though a th...
We present a mobile heart rate regulator—ambienBeat—which provides closed-loop ambient biofeedback via subliminal tactile stimulus based ...
AttentivU is a device, in the form factor of a pair of glasses, which senses brain activity (electroencephal...
Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection
OverviewPAL is a wearable platform for personalized, context-aware, and always-present user change. PAL has mu...
Creating scalable technologies that evolve with user inventiveness
Academic research groups, especially the ones directed by new junior faculty, are under pressure to produce high-quality work timely whil...
AbstractDevices that facilitate nonverbal communication typically require high computational loads or have rigid and bulky form factors&n...
The rapid advancement of electronic devices and fabrication technologies has further promoted the field of wearables and smart textiles. ...
Recent advances in medications for neurodegenerative disorders are expanding opportunities for improving the debilitating symptoms suffer...
Improvements in ingestible electronics with the capacity to sense physiological and pathophysiological states have transformed the standa...
Researchers have designed a skin-like device that can measure small facial movements in patients who have lost the ability to speak.
“We have standard operating procedures for emergencies, and everyone knew what to do,” Dagdeviren says.
Building intelligent personified technologies that collaborate with people to help them learn, thrive, and flourish.
Humans can accurately sense the position, speed, and torque of their limbs, even with their eyes shut. This sense, known as proprioceptio...
dementAI is an open-source platform for modeling risk stratification of Alzheimer's dementia using spontaneous speech through ...
@article{sarawgi2020multimodal, title={Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its Severity}, author={Sarawgi, Utkarsh and Zulfikar, Wazeer and Soliman, Nouran and Maes, Pattie}, journal={arXiv preprint arXiv:2009.00700}, year={2020} }
@misc{sarawgi2020uncertaintyaware, title={Uncertainty-Aware Multi-Modal Ensembling for Severity Prediction of Alzheimer's Dementia}, author={Utkarsh Sarawgi and Wazeer Zulfikar and Rishab Khincha and Pattie Maes}, year={2020}, eprint={2010.01440}, archivePrefix={arXiv}, primaryClass={cs.LG} }
@misc{sarawgi2020unified, title={Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles}, author={Utkarsh Sarawgi and Wazeer Zulfikar and Rishab Khincha and Pattie Maes}, year={2020}, eprint={2009.12406}, archivePrefix={arXiv}, primaryClass={cs.LG} }