Fredrik Heintz, professor of artificial intelligence at LiU, and coordinator of the TAILOR project. Image Credit: Anna Nilsen.
The general public is requested to help eradicate biases based on race and other underprivileged communities in artificial intelligence (AI) algorithms for healthcare.
For the first time, a pattern of DNA mutations that connects bladder cancer to smoking tobacco has been discovered by scientists at the University of California San Diego (UCSD).
Researchers have examined the advantages of employing soft robotic systems and humanoid musculoskeletal robots as bioreactor platforms to create clinically effective tendon constructions.
Biomedical engineers from Duke University have developed a new method of cipher creation using bacterial growth patterns.
Engineers at the University of California, Riverside are creating inexpensive robotic “clothing” to aid children with cerebral palsy in gaining control over their arm movements.
Microscopic robots built by nanoengineers at the University of California San Diego are engineered to swim throughout the lungs, transport medication, and be employed to resolve serious cases of bacterial pneumonia.
Scientists at the University of Central Florida (UCF) are hoping to accelerate drug discovery using a new artificial intelligence-centered drug screening process.
An automated method combining natural language processing and machine learning has been created to detect individuals who inject drugs (PWID) in electronic health data.
UCSF Health is recruiting patients for the only FDA-approved research in the United States exploring the use of single port robotic technology for colorectal surgery.