We developed two algorithms to identify patients with stomach, lung, colorectal, breast, and cervical cancers: diagnosis only (algorithm 1), and combining diagnosis, treatments, and medicines ...

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 ...

A new chronic total occlusion (CTO) algorithm moves beyond anatomic and imaging features to suggest guidewire manipulation time should also be factored in as part of the current strategy. Greater ...

A brain tumor is a mass of abnormal cells that grow in the brain. In 2016 alone, there were 330,000 incident cases of brain cancer and 227,000 related-deaths worldwide. Early detection is crucial to ...

In a recent study published in BMC Microbiology, researchers developed the Novel Organism Verification and Analysis (NOVA) algorithm to systematically analyze bacterial isolates unidentified using ...

Northwestern University researchers say they have developed a new machine-learning algorithm that can help scientists better understand the genetic interactions inside cellular networks. Called ...

To meet the requirements of single-angle and multi-band polarization aerosol detection, a research team led by Professor SUN Xiaobing from Anhui Institute of Optics and Fine Mechanics, Hefei ...

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 ...