Latest AI and machine learning research in pathology for healthcare professionals.
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...
Cancer represents a significant challenge to people's health and safety. Tumor biomarker detection p...
The implementation of innovative active learning pedagogies in education enhances students' engageme...
Quantifying mammary gland tissue composition is crucial for understanding growth patterns and future...
BACKGROUND AND OBJECTIVE: Colorectal cancer is the second leading cause of cancer-related mortality ...
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...
Sphenoid sinus fluid is considered a supportive indicator of drowning in forensic medicine, but trad...
Benign Prostatic Hyperplasia (BPH) is a common condition among aging men that often causes significa...
Accurate assessment of Human Epidermal Growth Factor Receptor 2 (HER2) immunohistochemistry (IHC) ex...
Contrast-induced nephropathy (CIN) is an important cause of acute kidney injury following exposure t...
BACKGROUND: Individuals with chronic hepatitis B (CHB) may harbor occult yet significant liver patho...
Surgical image segmentation is vital for various stages of surgical procedures, from preoperative pl...
BACKGROUND: Understanding interindividual variability in treatment response and toxicity is essentia...
OBJECTIVE: Quantitative Susceptibility Mapping (QSM) is a magnetic resonance imaging technique t...
BACKGROUND & AIMS: Neural networks constitute a crucial component of the tumor microenvironment that...