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An innovative computer-designed nanoparticle vaccine candidate for the pandemic coronavirus produces virus-neutralizing antibodies in mice at levels 10 times greater than is seen in people who have recovered from COVID-19 infections.

As progress in traditional computing slows, new forms of computing are coming to the forefront. A team of engineers is attempting to pioneer a type of computing that mimics the efficiency of the brain's neural networks while exploiting the brain's analog nature.

Mayo Clinic is collaboarting with Vocalis Health to research and develop new voice-based tools for screening, detecting and monitoring patient health.

Researchers have deployed a machine learning model to help drug developers on their most promising leads for attacking one of the virus’ most compelling targets –SARS-CoV-2's main protease.

Scientists at Fred Hutchinson Cancer Research Center in Seattle have shown that a potent antibody from a COVID-19 survivor interferes with a key feature on the surface of the coronavirus’s distinctive spikes, causing them to drop off.

There is a growing need to develop new treatments that effectively attack deadly strains of bacteria that have become resistant to other medicines. Already used with success in some parts of the world, phage therapy is gaining traction as a more widespread way to fight antibiotic-resistant bacterial infections.

In a new study published in Evolutionary Bioinformatics, University of Illinois researchers and students show SARS-CoV-2 is honing the tactics that may make it more successful and more stable.

Industrial oil-producing microalgae can use light energy to convert carbon dioxide and water into oils on a large scale. It is a potential solution for the sustainable supply of food, nutrition and fuel for human society.

A new study describes a novel algorithm to compare the 3D genomes of cancer patients with that of a healthy reference.

A massive problem like Alzheimer's disease --which affects nearly 50 million people worldwide--requires bold solutions. New funding expected to total $17.8 million, awarded to USC's Mark and Mary Stevens Neuroimaging Informatics Institute and its collaborators, is one key piece of that puzzle.