Disease

Research scientist Andreas Mershin speaks with Noam Hassenfeld of Vox about his work developing a new AI system that could be used to detect disease using smell.

A new AI-powered system developed by researchers from MIT and other institutions can detect prostate cancer in urine samples as accurately as dogs can, reports Tanya Lewis and Prachi Patel for Scientific American. “We found we could repeat the training you use for dogs on the machines until we can’t tell the difference between the two,” says research scientist Andreas Mershin.

 ITV reporter Liz Summers spotlights how researchers from MIT and other institutions have developed a new system that could eventually be used to help detect diseases via smell. The researchers hope the results could “eventually result in the production of a ‘robotic nose’ perhaps in the form of a smartphone app.”

UPI reporter Brian P. Dunleavy writes that MIT researchers have developed a new system, modeled on a dog’s keen sense of smell, that could be used to help detect disease using smell. “We see the dogs and their training research as teaching our machine learning [sense of smell] and artificial intelligence algorithms how to operate,” says research scientist Andreas Mershin.

A team of researchers from MIT and other institutions have created a new sensor that could be used to sniff out disease, reports Charlie Jones for the BBC. Research scientist Andreas Mershin says "Imagine a day when smartphones can send an alert for potentially being at risk for highly aggressive prostate cancer, years before a doctor notices a rise in PSA levels.”

Fast Company reporter Ruth Reader writes that researchers from MIT and other institutions have developed a new miniaturized detector that could be used to detect diseases by smell. “This paper was about integrating all the techniques that we know can work independently and finding out what of all this can go and become [part of] an integrated smartphone-based diagnostic,” says research scientist Andreas Mershin.

Wired reporter Will Knight spotlights how MIT researchers built a machine learning system that can help predict which patients are most likely to develop breast cancer. “What the AI tools are doing is they're extracting information that my eye and my brain can't,” says Constance Lehman, a professor of radiology at Harvard Medical School and division chief of breast imaging at MGH.

Writing for The New Yorker, Sheelah Kolhatkar spotlights Biobot Analytics, an MIT startup that is studying sewage for the purpose of tracking diseases and the spread of Covid-19. “It’s about our health and well-being in general,” says Biobot co-founder and president Newsha Ghaeli. “It’s about understanding nutrition disparities in communities, understanding stress levels, pervasive infectious diseases like influenza or Zika virus.”

STAT reporter Elizabeth Cooney spotlights a new working paper by Profs. Martin Bazant and John Bush that explores the risk of airborne transmission of Covid-19. “Depending on ventilation, mask use, air filtration, and other variables, any indoor space may carry either low or high risk of transmission,” Bazant explains. 

Researchers from the Singapore-MIT Alliance for Research and Technology (SMART) Critical Analytics for Manufacturing Personalized Medicine (CAMP) research group have been awarded new research grants aimed at supporting work exploring personalized medicine and cell therapy, reports Health Europa. “In addition to our existing research on our three flagship projects, we hope to develop breakthroughs in manufacturing other cell therapy platforms that will enable better medical treatments and outcomes for society,” says Associate Provost Krystyn Van Vliet.

Tech Explorist reporter Amit Malewar writes that researchers from Singapore-MIT Alliance for Research and Technology (SMART) have “demonstrated a new way to manufacture human red blood cells (RBCs) that cuts the culture time by half compared to existing methods.”

Prof. Sinan Aral speaks with GBH’s Arun Rath about his study showing that a lack of coordination between states on their reopening plans can lead to an influx in Covid-19 cases. Rath also spotlights the Broad Institute’s work processing over 1.5 million diagnostic tests for coronavirus since March 25.

A new center established at the McGovern Institute for Brain Research is aimed at accelerating the development of novel therapies and technologies, writes Katie Jennings for Forbes. The hope is that “we can identify common pathways, either a common molecular pathway that's a chokepoint for a therapy or a common group of neurons or neural systems,” says Prof. Robert DeSimone, director of the McGovern Institute.

Boston Globe reporter Felice Freyer writes about the K. Lisa Yang and Hock E. Tan Center for Molecular Therapeutics in Neuroscience, which was established at the McGovern Institute for Brain Research thanks to a $28 million gift from philanthropist Lisa Yang and MIT alumnus Hock Tan ’75. “The center will develop tools to precisely target the malfunctioning genes and neurons underpinning brain disorders,” writes Freyer.

Washington Post reporter Rachel Lerman highlights how MIT researchers developed a robotic system that uses UV light to disinfect spaces. “By knowing the geometry of the space — usually represented as a map — the robot can compute a patrolling trajectory and speed to expose all surfaces to the dosage that neutralizes the pathogens,” explains Prof. Daniela Rus, director of CSAIL.