Deep learning helps predict new drug combinations to fight Covid-19
Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2.
Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2.
The head of MIT’s Department of Chemical Engineering will serve on the President’s Council of Advisors on Science and Technology.
The researchers hope scientists and regulators will consider a broader class of compounds in evaluating cancer risk due to PAH exposure.
Sachin Bhagchandani wins NCI Predoctoral to Postdoctoral Fellow Transition (F99/K00) Award.
Vaccinating against certain proteins found on cancer cells could help to enhance the T cell response to tumors.
Studying these organoids could help researchers develop and test new treatments for pancreatic cancer, one of the deadliest types of cancer.
Pioneering scientist isolated, characterized, and established the mechanisms of many environmental toxins relevant to public health.
Researchers find three immunotherapy drugs given together can eliminate pancreatic tumors in mice.
Diagnostic nanoparticles could be used to monitor tumor recurrence after treatment or to perform routine cancer screenings.
The Hansen Lab investigates how genetic elements, known as enhancers, control the expression of genes in cancer.
Implant surface topography can influence the development of scarring, inflammation, and other complications, researchers find.
Kytopen is speeding up both discovery and delivery of engineered cell therapies with its transformative Flowfect platforms.
Study suggests this process for eliminating unneeded cells may also protect against cancer.
Developing drugs that prevent this softening might impede tumors’ ability to spread.
Using deep convolutional neural networks, researchers devise a system that quickly analyzes wide-field images of patients’ skin in order to more efficiently detect cancer.