Health care

“The human body is so sensitive to environmental and social conditions,” says Mariana Arcaya. “We should be aiming for cities that are supportive of human health for everyone.”

Health, wealth, and cities

MIT associate professor of urban studies Mariana Arcaya examines health disparities within metro areas.

August 27, 2019

A new MIT-developed model automates a critical step in using AI for medical decision making, where experts usually identify important features in massive patient datasets by hand. The model was able to automatically identify voicing patterns of people with vocal cord nodules (shown here) and, in turn, use those features to predict which people do and don’t have the disorder.

Automating artificial intelligence for medical decision-making

Model replaces the laborious process of annotating massive patient datasets by hand.

August 5, 2019

A model developed at MIT predicts the cognitive decline of patients at risk for Alzheimer’s disease by forecasting their cognition test scores up to two years in the future, which could help zero in on the right patients to select for clinical trials.

Model predicts cognitive decline due to Alzheimer’s, up to two years out

Researchers hope the system can zero in on the right patients to enroll in clinical trials, to speed discovery of drug treatments.

August 1, 2019

An MIT-invented microfluidics device could help doctors diagnose sepsis, a leading cause of death in U.S. hospitals, by automatically detecting elevated levels of a sepsis biomarker in about 25 minutes, using less than a finger prick of blood.

Microfluidics device helps diagnose sepsis in minutes

When time matters in hospitals, automated system can detect an early biomarker for the potentially life-threatening condition.

July 23, 2019

MIT alumnus Steven Keating has died. Keating conducted research on additive manufacturing and synthetic biology. He developed a technology that could 3-D print the foundation of a building.

Celebrating a curious mind: Steven Keating 1988-2019

Steven Keating SM'12, PhD '16 inspired millions with his research-driven approach to battling cancer and his advocacy for open patient health data.

July 22, 2019

Prime Minister Mark Rutte of the Netherlands, second from right, front, along with a large Dutch delegation, visits MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Ray and Maria Stata Center on July 19. MIT Professor Frans Kaashoek of CSAIL is second from the left.

Prime Minister Mark Rutte of the Netherlands tours MIT

Dutch delegation visits the Institute for a tour focused on computing, robotics, and health care innovation.

July 21, 2019

A patient receives an ultrasound at MDaaS Global's clinic in Ibadan, Nigeria. MDaaS provides diagnostic services to low-income communities that were previously inaccessible.

World-class diagnostics for low-income communities in sub-Saharan Africa

MDaaS Global works to transform health care in Africa by bringing high-end medical diagnostics to low-income communities.

July 11, 2019

A new study by researchers from MIT, Boston Children’s Hospital, and elsewhere shows that a “social robot,” named Huggable (pictured), can be used in support sessions to boost positive emotions in hospitalized children.

Study: Social robots can benefit hospitalized children

Interacting with a robotic teddy bear invented at MIT boosted young patients’ positive emotions, engagement, and activity level.

June 26, 2019

MIT researchers have developed a system that gleans far more labeled training data from unlabeled data, which could help machine-learning models better detect structural patterns in brain scans associated with neurological diseases. The system learns structural and appearance variations in unlabeled scans, and uses that information to shape and mold one labeled scan into thousands of new, distinct...

From one brain scan, more information for medical artificial intelligence

System helps machine-learning models glean training information for diagnosing and treating brain conditions.

June 19, 2019

MIT researchers have developed a system, called Marko, that leverages radio-frequency (RF) signal reflections off human bodies to wirelessly monitor people’s movement inside their homes to provide insight for behavioral research or medical care.

Wireless movement-tracking system could collect health and behavioral data

In some cases, radio frequency signals may be more useful for caregivers than cameras or other data-collection methods.

May 8, 2019

The team's model was shown to be able to identify a woman at high risk of breast cancer four years (left) before it developed (right).

Using AI to predict breast cancer and personalize care

MIT/MGH's image-based deep learning model can predict breast cancer up to five years in advance.

May 7, 2019

J-Clinic names 18 grant recipients from across Institute

Projects will develop new AI technologies that detect and prevent diseases.

May 1, 2019

Winnie Gitau, a 2019 D-Lab Scale-Ups Fellow, is the founder of Kwangu Kwako, which provides safer, healthier, and more secure housing alternatives to the traditional informal settlement structures in Kenya.

MIT D-Lab awards fellowships to six East African social entrepreneurs

The one-year Scale-Ups Fellowships program provides each fellow with a $20,000 grant and support tailored to address their specific needs.

April 16, 2019

Most pills and capsules, whether over-the-counter or prescription, include components other than the actual drug. A new study shows those components are made of ingredients that can cause allergic reactions or irritations in certain patients.

“Inactive” ingredients may not be, study finds

Most pills contain compounds with potential to cause allergic reactions or discomfort in some patients.

March 13, 2019

Hospitals in highlighted regions have contributed data to the Global Open Source Severity of Illness Score, or GOSSIS.

A new way to calculate global intensive care unit mortality risk

The GOSSIS algorithm was developed using data from hospitals around the world to spur greater multi-center collaboration and improved benchmarking.

March 8, 2019

MIT News | Massachusetts Institute of Technology

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