Despite its low diagnostic yield, endomyocardial biopsy (EMB) remains the gold standard for establishing a definitive diagnosis in many cardiomyopathies. We developed and validated a machine-learning-based score to predict the likelihood of diagnosti... read more
Morphological neuron classification helps to reveal the functional characteristics and information transmission mechanisms of the nervous system. However, existing methods that use geometric feature extraction or image-based transformation do not con... read more
There is a high need for accurate drought predictions that will play a crucial role to analyze and mitigate the adverse effects of climate change, that will help in ensuring agricultural sustainability and disaster management. Looking for the traditi... read more
As cardiac arrhythmia remains one of the leading causes of death worldwide, early and accurate diagnosis of cardiac arrhythmia is critical to improving patient outcomes. Electrocardiogram (ECG) analysis plays a critical role in the diagnosis of these... read more
Organisations must share facial imagery that remains useful for analysis while protecting identity. Many current methods fail to strike this balance: reconstruction-centred encoder-decoder designs tend to blur salient detail, whereas latent edits in ... read more
A COMMENTARY ON: Ziaei, S., Samani, D., Behjati, M. et al. Accuracy of artificial intelligence in orthodontic extraction treatment planning: a systematic review and meta-analysis. BMC Oral Health 2025;25:1576. https://doi.org/10.1186/s12903-025-06880... read more
Spatial transcriptomics is an emerging technology that can analyze gene expression profiles of tissues while preserving spatial location information. To restore cell type proportions from mixed gene expression data, here we present DANST, a deconvolu... read more
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