Tempus HRD-RNA is an AI-driven, 1,660-gene logistic regression model designed to identify patients likely to respond to ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

iEEG is a procedure that measures brain activity by placing electrodes directly on or inside the brain. This detailed information is crucial for diagnosing and treating conditions like epilepsy, where ...

Please provide your email address to receive an email when new articles are posted on . Researchers envision training the algorithm to help cardiologists identify liver disease from subcostal views. A ...

A research team has recently developed a novel algorithm in quantum physics known as 'entanglement microscopy' that enables visualization and mapping of this extraordinary phenomenon at a microscopic ...

The proposed algorithm combines variational scheduling with post-processing to achieve near-optimal solutions to combinatorial optimization problems with constraints within the operation time of ...

A search problem refers to the task of finding a solution within some space of possible options, and that space could be made up of discrete steps or continuously varying values. For example, solving ...

Case Western Reserve University’s Emerging Computing Technologies (ECT) Lab has been named one of three winners of NASA’s Beyond the Algorithm: Novel Computing Architectures for Flood Analysis ...

Researchers at VCU Massey Comprehensive Cancer Center have developed a novel algorithm that could provide a revolutionary tool for determining the best options for patients - both in the treatment of ...