Latest AI and machine learning research in pathology for healthcare professionals.
Aims Active surveillance (AS) allows selected men with localized prostate cancer to defer curative t...
Soft tissue sarcomas are a rare, heterogeneous group of tumors whose diagnosis remains challenging b...
Clonal haematopoiesis (CH) becomes ubiquitous as humans age. The role of somatic driver mutations in...
Delayed diagnosis and poor antiretroviral therapy (ART) adherence remain primary drivers of HIV-rela...
Head and neck squamous cell carcinoma (HNSC) is a prevalent malignancy associated with poor prognosi...
The peripheral auditory system of dolphins comprises specialised bony, fatty, vascular, and neural s...
Vision-language models (VLMs) can couple visual perception with open-ended clinical reasoning, makin...
In histopathology, human experts primarily rely on color as a means of enhancing contrast to interpr...
Implementation of digital pathology leads to an increased number of whole slide images (WSIs). The l...
Tissue-level mechanical stimuli are primary drivers of tissue adaptation and can be optimised during...
Cancer is a major global health issue with rising incidence and mortality. Early detection, tumor ch...
Malignant pleural mesothelioma (MPM) is an aggressive asbestos-linked cancer with limited therapeuti...
The mutation accumulation (MA) hypothesis posits that somatic mutations progressively escape selecti...
Spatial transcriptomics enables investigation of tissue organization while preserving molecular and ...
Extracellular vesicles (EVs) hold promise as minimally invasive biomarkers for neurodegenerative pro...
Lung neuroendocrine tumours (lung NETs) are rare neoplasms comprising approximately 2% of lung cance...
Pneumonia is the leading cause of death from infectious disease worldwide. The diagnosis and treatme...
Conditional generative adversarial networks (cGANs) have enabled high-fidelity computational stainin...
Robust whole-slide image (WSI) analysis under strict data-governance remains challenging due to subs...
Label-free single-cell imaging offers a scalable, non-invasive alternative to fluorescence-based cyt...
Analyzing microscopy images to extract biological object properties (e.g., their morphological organ...