The manuscript concerns a fundamental and controversial question in Trypanosoma brucei biology and the parasite life cycle, providing further evidence that slender bloodstream forms can indeed infect ...

Abstract: Multi-label text classification involves assigning multiple relevant categories to a single text, enabling applications in academic indexing, medical diagnostics, and e-commerce. However, ...

Recently, a research team led by Gengjie Jia at the Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, in ...

This paper describes Unbend - a new method for measuring and correcting motions in cryo-EM images, with a particular emphasis on more challenging in situ samples such as lamella and whole cells. The ...

Objectives To describe trends in demographic and clinical characteristics of children with a life-limiting condition (LLC) ...

Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...

Abstract: In the classification of knee osteoarthritis (KOA) using MRI images, the application of end-to-end deep learning techniques holds significant importance. The raw knee joint images contain ...

AI is transforming economic analysis, from natural language processing of central bank headlines to satellite imagery outperforming official statistics. This analysis is looking at how AI is enhancing ...

Objectives The length and frequency of previous sickness absence (SA) spells have been shown to be associated with future SA. The aim was to examine if this pattern persisted during the COVID-19 ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

Background Numerous studies have found associations between parental socio-economic position (SEP) and offspring asthma.