Researchers at MIT have developed a device that can measure blood glucose levels through the skin. The team used “Raman spectroscopy to measure blood glucose because of the method’s ability to identify the chemical composition of samples noninvasively,” writes Sneha Khedkar for The Scientist. “The approach involves shining monochromatic light on samples and analyzing how the light scatters.”
Researchers at MIT have developed a noninvasive, light-based blood-glucose monitoring system capable of replacing finger pricks and under-the-skin sensors used by patients with diabetes, reports Andrew Paul for Popular Science. The approach could “even fit on a device the size of a watch,” explains Paul. “Each measurement scan takes slightly more than 30 seconds to complete. The device also shows an accuracy comparable to two commercially available, wearable glucose monitors.”
Nature reporter James Mitchell Crow spotlights Prof. Leonard Guarente’s work studying the impact of calorie restriction in life expectancy. Guarente’s research points to “the importance of a set of genes and associated proteins called sirtuins.” Guarente says: “If you make them more active, you extend the lifespan.”
Prof. Linda Griffith speaks with Science Friday host Flora Lichtman about her work studying endometriosis. “I did a lot of things in the regenerative medicine space. But I had an epiphany that there’s so many chronic and inflammatory disease that we don’t know how to treat so I started building models of human organs and tissues in the lab using what we called microfluidic chips,” Griffith explains. “When I got asked about endometriosis, it was actually a perfect application for this kind of approach because we really need to study the lesions very carefully in the lab in ways that is very hard to study in patients.”
MIT researchers have developed a new AI tool, dubbed “DrugReflector,” aimed at speeding up the drug discovery process, reports William A. Haseltine for Forbes. The researchers used DrugReflector to test tested almost 9,600 drugs in different human cell types.“This system was 17 times more accurate than older computational methods and improved as it used honest lab feedback,” writes Haseltine.
The MIT Health and Life Sciences Collaborative (MIT HEALS) launched the Fairbairn Menstruation Science Fund earlier this year as part of an effort aimed at improving women’s health, reports Zoë Corbyn for The Guardian. “This is frontier science,” says Prof. Linda Griffith. Corbyn also spotlights how Ridhi Tariyal MS '10 has co-founded NextGen Jane, a women’s healthcare startup that aims to gain better insight into women’s reproductive health by studying menstruation.
Prof. Alex Shalek and his colleagues developed a deep-learning model called DrugReflector aimed at speeding up the process of drug discovery, reports Heidi Ledford for Nature. “They used DrugReflector to find chemicals that can affect the generation of platelets and red blood cells — a characteristic that could be useful in treating some blood conditions,” explains Ledford. The researchers found that “DrugReflector was up to 17 times more effective at finding relevant compounds than standard, brute-force drug screening that depends on randomly selecting compounds from a chemical library.”
Prof. Linda Griffith and her colleagues have “developed a model of the human gut to study how the organ’s microbes interact with immune cells and regulate inflammation,” reports Gemma Conroy for Nature. Griffith and her team “have also created models for endometriosis and pancreatic cancer,” writes Conroy.
Prof. Deblina Sarkar speaks with Bloomberg Businessweek Daily reporters Carol Massar and David Gura about her work using microscopic technology to treat and identify health issues. We are building “tiny nanoelectronics chips which can seamlessly integrate with our body and brain,” says Sarkar. “This can diagnose disease or treat diseases which even drugs cannot fix.”
Writing for Forbes, Senior Lecturer Guadalupe Hayes-Mota '08, SM '16, MBA '16 emphasizes the importance of implementing ethical frameworks when developing AI systems designed for use in healthcare. “The future of AI in healthcare not only needs to be intelligent,” writes Hayes-Mota. “It needs to be trusted. And in healthcare, trust is the ultimate competitive edge.”
Financial Times reporter Melissa Heikkilä spotlights how MIT researchers have uncovered evidence that increased use of AI tools by medical professionals risks “leading to worse health outcomes for women and ethnic minorities.” One study found that numerous AI models “recommended a much lower level of care for female patients,” writes Heikkilä. “A separate study by the MIT team showed that OpenAI’s GPT-4 and other models also displayed answers that had less compassion towards Black and Asian people seeking support for mental health problems.”
Prof. Rosalind Picard speaks with Bloomberg reporters Carol Massar and Tim Stenovec about technological advancements in wearable technology and how advances in the field could positively impact women’s healthcare. “The opportunities are huge for health with wearables and especially for women’s health,” says Picard. “There are so many conditions that are different for women than for men, and they’re not only vastly understudied but the kind of data is very under sampled.”
Prof. Regina Barzilay speaks with Newsweek reporter Katherine Fung about the how hospitals around the world around increasingly adopting new technologies. “Countries with a centralized healthcare system, or centralized healthcare records, can do a much better job because they have so much data and so much ability to monitor what AI tools are doing," says Barzilay.
Prof. Marzyeh Ghassemi speaks with Boston Globe reporter Hiawatha Bray about her work uncovering issues with bias and trustworthiness in medical AI systems. “I love developing AI systems,” says Ghassemi. “I’m a professor at MIT for a reason. But it’s clear to me that naive deployments of these systems, that do not recognize the baggage that human data comes with, will lead to harm.”
The new Hood Pediatric Innovation Hub, a cornerstone of MIT’s Health and Life Sciences Collaborative (MIT HEALS), is aimed at addressing “underinvestment in pediatric healthcare innovations,” reports Isabel Hart for the Boston Business Journal. Prof. Elazer Edelman, faculty lead for the hub, explains that: “We are trying to build a new culture providing innovation to those who have least access to it and will most benefit from it.”