From bench to biotech
Life sciences class brings biotech industry experience into the classroom with part-time internships for graduate students.
Life sciences class brings biotech industry experience into the classroom with part-time internships for graduate students.
Novel lysin Abp013 has shown promising antimicrobial ability against Acinetobacter baumannii and Klebsiella pneumoniae.
In the intensity of basic training, a smartwatch-based system warns recruits when they are at risk of heat injury.
HASTS PhD student Rijul Kochhar tracks changing medical and microbial realities, and examines what they portend for society.
Nine MIT researchers selected as finalists for 2021 prize supported by Northpond Ventures; grand prize winner to receive $250K toward commercializing her human health-related invention.
A screening method developed by MIT researchers targets hydrogen peroxide in the search for new cancer therapeutics.
Dana Al-Sulaiman, a recent postdoc with MIT’s Ibn Khaldun Fellowship for Saudi Arabian Women, has developed a cheap, minimally invasive diagnostic test for cancer.
In the Hoyt C. Hottel Lecture, Arnold tells the story of her pathbreaking research to engineer better enzymes for critical applications.
Udayan Umapathi SM ’17 and Will Langford SM ’14, PhD ’19 are co-founders of a Media Lab spinoff building a full-stack platform to enable automation for genomics and genetic engineering.
Public-private partnership aims to advance development and production of medical treatments.
MiniPCR bio has sold thousands of its inexpensive polymerase chain reaction machines to researchers and schools around the world.
Prosthetic enables a wide range of daily activities, such as zipping a suitcase, shaking hands, and petting a cat.
Ten principal investigators from seven MIT departments and labs will receive up to $150,000 for two years, overhead-free, for innovative research on global food and water challenges.
MIT instructors honored for creating multidimensional, multidisciplinary online courses that help learners everywhere address real-world problems.
DELPHI, an artificial intelligence framework, can give an “early-alert” signal for future key technologies by learning from patterns gleaned from previous scientific publications.