Latest AI and machine learning research in pathology for healthcare professionals.
Artificial intelligence (AI)-powered diagnostic pathology involves combining traditional histologica...
Psoriatic arthritis (PsA) lacks reliable biomarkers to support early diagnosis and disease stratific...
Breast cancer remains a primary global health concern, with histopathological image analysis serving...
BACKGROUND: Breast phyllodes tumours (PT) are rare biphasic neoplasms consisting of epithelial and s...
Microplastics are increasingly recognized as a global environmental health threat, yet their detecti...
Hepatocellular carcinoma (HCC) exhibits marked sexual dimorphism, with females demonstrating superio...
In histopathology, cell detection and segmentation of Hematoxylin and Eosin (H&E) stained tissue ima...
Characterizing gene expression and regulatory dynamics underlying both normal tissue function and di...
Tissue motions within body segments, such as the relative movements of muscles, fascia, and bone, re...
OBJECTIVES: Chronic Rhinosinusitis with Nasal Polyps (CRSwNP) is a common and severe subtype of Chro...
Tissue regeneration is a complex, multi-phase process orchestrated by dynamic changes in protein exp...
BACKGROUND: Over the past decade, machine learning (ML) has transformed histopathology, yet its appl...
BACKGROUND: The World Health Organization (WHO) has emphasised the need for innovative diagnostic to...
INTRODUCTION: The identification of non-diabetic kidney disease (NDKD) in diabetic patients is criti...
BACKGROUND: The tumour-stroma ratio (TSR) is a potential prognostic indicator, yet hindered by quant...
Diabetic kidney disease (DKD), characterized by progressive renal dysfunction, is a prevalent microv...
BACKGROUND AND OBJECTIVE: Colorectal cancer is the second leading cause of cancer-related mortality ...
BACKGROUND AND OBJECTIVE: Vascular proliferation is a common skin reaction following eyelid surgery,...
Approximately 30-50% of Papillary thyroid carcinoma (PTC) patients develop cervical lymph nodes (LNs...
With increasing interest in studying biological systems across spatial scales-from centimeters down ...
The growing importance of machine learning in geological data computing, as well as in the broader g...