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.
Selective global honor supports early-career scientists and engineers in taking on new pursuits.
Using this computational system, researchers can identify viral protein sequences that could make better vaccine targets.
Differently shaped RNA molecules allow HIV to express different genes from the same RNA sequence.
Researchers apply network theory to HIV protein structure, uncovering a vital link between connectivity and protective immune response.
Replacing daily pills with a weekly regimen could help patients stick to their dosing schedule.
Youth-to-youth program teaches girls about the increased odds of contracting HIV from older men.
MIT students partner with a clinic in Togo to improve health care for HIV/AIDS patients.
Christopher Love uses microscale technology to isolate rare cells, yielding insight into human disease.
Study yields insight into generating antibodies that target different strains of HIV.
New study reveals how a potential HIV drug exacts its toll on viral populations.
New MIT vaccines that catch a ride to immune cell depots could help fight cancer and HIV.
Particles that deliver vaccines directly to mucosal surfaces could defend against many infectious diseases.
Ragon Institute researchers develop a method to identify weak points in viral proteins that could be exploited for vaccine development.