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 ...

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 ...

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 ...

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 ...

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 ...

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 ...