Mapping the connections between genes enables the identification of networks disrupted in disease. The approach, however, requires large amounts of data, making the discovery of therapeutic targets difficult in settings with limited data. We recently... read more
This systematic review evaluated the performance and risk of bias in Systemic Lupus Erythematosus (SLE) disease manifestations and case fatality prediction models, based on a search of PubMed, Embase, and Cochrane Library up to October 17, 2025. Risk... read more
BACKGROUND: Electrolyte abnormalities following chemotherapy are common and clinically significant complications in cancer patients and are often associated with treatment delays and adverse outcomes. This study aims to develop and validate machine l... read more
UNLABELLED: Deep learning-based automated call detectors offer a solution to the labour- and time-intensive problem of isolating animal sounds within the enormous datasets generated by passive acoustic monitoring (PAM). Broad adoption of deep learnin... read more
The rise of antibiotic-resistant pathogens such as Staphylococcus aureus has created an urgent need for new antibiotics. Generative artificial intelligence (AI) has shown promise in drug discovery, but existing models often fail to propose compounds ... read more
European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
Apr 23, 2026
OBJECTIVES: Deep learning-based synthetic contrast imaging has been proposed as an alternative to iodinated and gadolinium-based contrast agents in CT and MRI. This scoping review aimed to provide a cross-modality overview of current evidence, includ... read more
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