Tuberculosis, caused by the bacterium Mycobacterium tuberculosis (Mtb), is the world's deadliest single-agent infection, ...
Lee Kang-wook, Chief AI Officer (CAIO) at KRAFTON, presented a new agenda for game AI at one of the world's most prestigious ...
A research team led by UMass Amherst has developed two new techniques to significantly speed up the search for effective ...
Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
The human brain is known to naturally change with age, shrinking in size and volume after people reach their 30s or 40s. In ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Cancer immunotherapy drugs known as immune checkpoint inhibitors (ICIs) can be miracle drugs for cancer patients, curing some and turning deadly disease into a manageable chronic condition in others.
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...
MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.
UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results