A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

An innovative and scalable proximity labelling method profiled proteins present in the Caenorhabditis elegans brain during learning, identifying known regulators as well as novel biological pathways.

In a recently published review article from Lund University researchers have analysed the incidence of caesarean sections in different European ...

Seeing chemistry unfold inside living cells is one of the biggest challenges of modern bioimaging. Raman microscopy offers a ...

Postoperative recurrence (POR) is a major challenge in the long-term management of Crohn’s disease (CD), affecting up to 70% ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Dinosaur skeletons often dominate museum halls, from the towering Tyrannosaurus rex known as Sue in Chicago to Sophie the ...

Genetic mapping reveals mania drives most inherited risk in bipolar disorder, identifying new gene regions and calcium channel pathways.

Prediabetes is an extremely heterogeneous metabolic disorder. Scientists from several partner institutes of the German Center ...

Scientists found 6 subgroups of prediabetes based on liver fat and metabolic risk to predict future type 2 diabetes and kidney disease risk.

For millions working outdoors in Kenya, climate change isn’t abstract, it is telling on their skin, writes Nelly Madegwa writes. [NAIROBI, SciDev.Net] For eight years, Sylvia Muteshi has worked the ...