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Medical Design & Outsourcing

Researchers at MIT have developed microscopic devices that “can travel autonomously through the blood and provide electrical stimulation to precise brain regions,” and could one day be used to treat brain diseases, mental illness, or other parts of the body, reports Zoe Kriegler for Medical Design & Outsourcing. The development of microscopic wireless electronic devices (SWEDs) could “eliminate the need for brain surgery in some cases, decreasing the risk to the patient and the expense of the procedure by hundreds of thousands of dollars,” Kriegler explains. 

Forbes

Prof. Deblina Sarkar speaks with Forbes reporter William A. Haseltine about her work developing “circulatronics,” microscopic electronics devices that could one day be used to help treat brain diseases. “What we have developed are tiny electronic devices that can travel through body fluids and autonomously find their target regions, with no external guidance or imaging,” explains Sarkar. “They provide very precise electrical stimulation of neurons without the need for surgery.” 

Fox News

Reporting for FOX News, Kurt Knuttson highlights how MIT researchers have developed a new light-based scanner that can read blood sugar without a single prick. “A handheld or watch-sized glucose scanner would mark a major shift in diabetes care,” writes Knuttson. “MIT's work brings that future closer with a design that reads your chemistry through light.”

Popular Mechanics

Researchers at MIT studying amblyopia – commonly known as lazy eye – have found that anesthetizing the retina could restore visual responses, reports Emma Frederickson for Popular Mechanics. “Their recent findings could reshape the way we think about vision loss,” writes Frederickson. 

The Scientist

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.” 

Popular Science

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.” 

Fast Company

Researchers at MIT are using AI systems to design new molecules for potential antibiotics, research that is “aimed at the growing challenge of antibiotic-resistant infections,” reports Adele Peters for Fast Company. “The number of resistant bacterial pathogens has been growing, decade upon decade,” says Prof. James Collins. “And the number of new antibiotics being developed has been dropping, decade upon decade.” 

The Naked Scientists

Prof. Bryan Bryson speaks with Chris Smith on The Naked Scientists podcast about his efforts to find targets for a new tuberculosis vaccine, as the current version, which is very effective in children, does not sufficiently protect adolescents and adults. “Right now, we only have one TB vaccine that's over 100 years old,” said Bryson.  “And for me as an engineer, if somebody tells you there's a 100 year old technology that doesn't work the way that you want it to, you want to say, let's build a better one.” 

Fierce Biotech

Prof. Bryan Bryson and his colleagues have identified a series of targets for a new tuberculosis vaccine. The “researchers identified proteins expressed on the surface of cells infected with TB and used mRNA to coax uninfected human cells to produce the bacterial compounds, a key first step toward new vaccines,” writes Darren Incorvaia for Fierce Biotech

Science Friday

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.” 

Forbes

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. 

STAT

Writing for STAT, Senior Lecturer Guadalupe Hayes-Mota 08, SM '16, MBA '16 examines how the closure of local pharmacies across the country poses a significant public health risk, particularly for Americans in rural communities who, like Hayes-Mota’s father, “depend on their local pharmacy not only for medicine, but for survival.” Hayes-Mota emphasizes that “addressing this crisis requires three urgent steps: supporting underserved areas with targeted incentives and mobile or telepharmacy services, investing in the workforce through safe staffing and career pathways, and granting pharmacists provider status with expanded scope of practice.”

Nature

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.”

Nature

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. 

Bloomberg Businessweek

Prof. Canan Dagdeviren speaks with Bloomberg Businessweek Daily reporters Carol Massar and Tim Stenovec about her work developing conformable ultrasound technology aimed at enabling earlier breast cancer detection. “This technology can be a part of your personal bra, and you can wear it and while drinking your coffee within seconds, it can tell you [about] any anomaly with pinpoint accuracy,” Dagdeviren explains.