Cancer biologists identify new drug combo
Two drugs that block cell division synergize to kill tumor cells.
Two drugs that block cell division synergize to kill tumor cells.
Recent graduate says culturally-aware approaches lead to more-effective medical interventions.
System lets nonspecialists use machine-learning models to make predictions for medical research, sales, and more.
Attaching a Velcro-like molecule may prevent immune proteins called cytokines from leaking out of cancerous tissue after injection.
Interacting with a robotic teddy bear invented at MIT boosted young patients’ positive emotions, engagement, and activity level.
Crystallized drug prevents immune system rejection of transplanted pancreatic islet cells.
Study may be a step toward shelf-stable versions of the hormone, which is used to control diabetes.
Novel materials made with FDA-approved components could deliver large payloads of active ingredients.
System helps machine-learning models glean training information for diagnosing and treating brain conditions.
Compound that knocks out a DNA repair pathway enhances cisplatin treatment and helps prevent drug-resistance.
Selecta Bioscience’s ImmTOR platform could improve gene therapies and prevent some drug side effects.
Through computing, senior and Marshall Scholar Anna Sappington seeks answers to biological questions.
A study of prostate cancer finds “aneuploid” tumors are more likely to be lethal than tumors with normal chromosome numbers.
Researchers apply network theory to HIV protein structure, uncovering a vital link between connectivity and protective immune response.
Machine learning reveals metabolic pathways disrupted by the drugs, offering new targets to combat resistance.