Chemists routinely optimize reactions to maximize the yield of their desired products, but understanding why those reactions ...

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...

Structural variants—large-scale rearrangements of the genome that include deletions, duplications, inversions and insertions ...

Steatotic liver disease (SLD), formerly named fatty liver disease, has a prevalence estimated at 30–38% in adults. Detection of SLD is important, since prompt initiation of treatment can stop disease ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

Cytological tests are a common method of screening for cancer cells in stained cell samples. Using a microscope, pathologists examine cells collected from bodily fluids, looking for telltale signs of ...

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design proteins needed for new treatments. Inverse protein folding is a critical ...

A team of forensic geneticists in China has shown that a panel of roughly 2,000 single nucleotide polymorphisms, or SNPs, ...

Researchers have developed a machine learning-based method to identify chemical compounds that can safely repel honey bees from pesticide-treated crops.

Data science brings several skills together. Python helps learners work with data programmatically, statistics provides a way to test assumptions and interpret uncertainty, and machine learning adds ...

Microsoft file patent for in-game ad system that could use machine learning and player credits to avoid, or gamify the ...

Women’s agency is highly context-specific, with Tunisia’s evidence showing that locally validated, multidimensional measures ...