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Dr. Francis Collins, director of the NIH, spotlights a video created by Prof. Kwanghun Chung that takes viewers on a voyage through a region of the brain that controls voluntary movement. Thanks to imaging techniques like Chung’s, “mapping the biocircuitry of the brain just keeps getting better all the time,” Collins explains.
STAT reporter Rebecca Robbins spotlights how the MIMIC database of de-identified medical records has helped advance AI research in medicine. “If you are developing an algorithm, let’s say for decision support or prediction, and you’re using machine learning, then you need a huge number of examples — and there are virtually no open-source databases like this,” explains Prof. Roger Mark. It’s the only one in town, pretty much.”
MIT researchers have developed tiny robots powered by magnetic fields that can be used to bring drugs nanoparticles from the bloodstream into a tumor or disease site in the human body, reports the Xinhua news agency.
Guardian reporter Ian Sample writes that MIT startup Synlogic are developing a “living” medicine” made from genetically modified bugs. “By engineering these bacteria, we are able to control how they operate in the human gastrointestinal tract,” says Caroline Kurtz of Synlogic. “It allows us to think about many other diseases where you may need to produce something beneficial, or remove something that is toxic for the patient.”
MIT researchers have developed an inhalable form of messenger RNA that could be used to help treat patients with lung disease, reports Christopher Intagliata for Scientific American. Intagliata explains that researchers hope to one day “use this technique to help cystic fibrosis patients.”
Wall Street Journal reporter Brian Gormley speaks with Dr. Leo Anthony Celi, a principal researcher scientist at IMES, who encourages hospitals to share electronic medical data on intensive care patients. “De-identified data from 60,000 such cases now are freely available in a database called Medical Information Mart for Intensive Care,” writes Gormley of Celi’s work. “Scientists regularly publish papers based on this repository.”
MIT researchers have developed a new technique to measure cancer cells that provides insight into how certain cells respond to treatment, reports the Xinhua news agency. The findings could be used to help develop new drug targets, making current treatments more effective.
Reporting for WBUR’s CommonHealth, Carey Goldberg highlights new classroom kits developed by MIT researchers that allow kids to learn and experiment with the building blocks of DNA. "I just think it's really important that microbiology education is accessible for everyone," says graduate student Ally Huang, "and that everyone, regardless of their resources, has access to things like this."
Smithsonian reporter Randy Rieland writes that MIT researchers have developed a machine learning model that can detect speech and language patterns associated with depression. The researchers note that the system is intended to assist, not replace clinicians. “We’re hopeful we can provide a complementary form of analysis,” explains Senior Research Scientist James Glass.
Popular Science reporter Rob Verger highlights how an MIT spinout and MIT researchers are developing tools to detect depression. “The big vision is that you have a system that can digest organic, natural conversations, and interactions, and be able to make some conclusion about a person’s well-being,” says grad student Tuka Alhanai.
Boston Globe reporter Jonathan Saltzman spotlights postdoctoral associates Matheus Victor, Jarrett Smith and Quinton Smith. They have been selected by the Howard Hughes Medical Institute as Hanna Gray Fellows, a program that aims to encourage emerging young scientists who are underrepresented in life sciences.
MIT researchers have developed a model that can help detect depression by analyzing an individual’s speech patterns, reports Kaveh Waddell for Axios. Waddell explains that the researchers, “trained an AI system using 142 recorded conversations to assess whether a person is depressed and, if so, how severely.”
MIT researchers have developed a new system that can detect depression by examining a patient’s speech and writing, reports John Biggs for TechCrunch. Biggs writes that the system could “help real therapists find and isolate issues automatically versus the long process of analysis. It’s a fascinating step forward in mental health.”
Researchers from MIT and Brigham and Women’s Hospital have found that cellular changes lead to chronic sinus inflammation, reports Allen Cone for UPI. Cone explains that the findings could also “help patients with chronic inflammatory diseases of barrier tissues, such as asthma, eczema, and inflammatory bowel disease.”
By analyzing thousands of human cells and creating a cellular map of human barrier tissue, MIT researchers have identified the mechanism that may cause chronic allergic inflammation in the sinus, according to Xinhua News Agency. The findings could have “implications on treatment of other chronic inflammatory diseases of barrier tissues, such as asthma, eczema, and inflammatory bowel disease.”