Researchers have demonstrated a way to visually explore small-molecule inhibitors that, according to algorithmic suggestions, show potential for targeting COVID-19’s main proteins.
Healthcare AI startups are asserting AI’s fitness for the fight against COVID-19. How’s that working from the perspective of healthcare providers?
AI startup Immunai has announced it’s working to map the entire human immune system with $20 million in seed funding to push the project along.
How has digital health contributed to the fight against COVID-19? What kinds of outcomes has it produced? What have been some unintended consequences of its deployment?
The University of Pennsylvania is teaming with Intel to lead a federation of more than two dozen medical and research centers on an AI system for identifying brain tumors.
An AI algorithm has slightly outperformed neurologists at identifying or ruling out Alzheimer’s disease from MRI brain scans combined with demographic information and neuropsychological test results.
Scale AI is funding eight research projects focused on helping Canada respond to the ongoing COVID-19 pandemic, an investment that adds up to $3.4 million.
The test may also have a second important use—improving the treatment of COVID-19 patients.
An unlikely team at Berkeley Lab has created a text-mining tool that may help scientists of all disciplines tame and tap the presently blinding blizzard of COVID-19 papers.
Glioma patients typically need a biopsy so physicians can make a treatment decision, but researchers have developed a new AI algorithm that could make such biopsies unnecessary.
Researchers in Israel are working to develop a new AI-powered COVID-19 test—and they think it could be especially effective at detecting individuals who carry the virus without showing any symptoms.
Researchers have used computational modeling and a machine-learning approach to predict electrotoxicity in the heart “from the atom to the rhythm.”