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AIDPS derived by 76 machine-learning algorithm combinations in 13 independent multicenter cohorts exhibited superior capability than clinical traits and 86 published prognostic signatures and could serve as an ideal biomarker for stratified management and individualized treatment of pancreatic cancer.

Machine learning in conjunction with super-resolution imaging allows for the first time to quantitatively analyse large and heterogenous virus samples structure at a high throughput and specificity.

2D template matching complements 3D template matching of tomograms, providing fast and specific detection of molecules in cryo-EM images of cells, as well as generating 3D reconstructions from detected targets.

Dimension reduction and machine learning tools were used to identify novel associations between the HIV reservoir and the immune systems of people with HIV.

Controlled exposure experiments reveal that underwater vessel noise level from a motorised vessel is an adequate driver of behavioural disturbance in humpback whales.

Melanization of a secondary sexual structure facilitates male mating success in Drosophila.

Selection for asymmetric signalling between gametes explains the very origins of sexual asymmetry as seen in mating-types with morphologically similar but self-incompatible gametes.

Male C. elegans die through two distinct mechanisms – mating-induced germline activation, and potent male pheromone toxicity – but the latter is unique to males of androdioecious species (made up of hermaphrodites and males).

Task changes, like increased force production or altered posture, decrease the accuracy of brain-machine interfaces predicting intended finger movements, however, understanding how neural activity changes with the altered biomechanics of the task may provide insights for generalizable decoder development.

A new automated and unsupervised algorithm, Risk Assessment Population IDentification, identifies risk-stratifying cells in single cell datasets with robust statistical and biological validation.