Latest AI and machine learning research in pathology for healthcare professionals.
Foundation models increasingly offer potential to support interactive, agentic workflows that assist...
Immunohistochemical (IHC) staining enables precise molecular profiling of protein expression, with o...
Foundation models in histopathology are expected to facilitate the development of high-performing an...
Introduction: Kidney biopsy reports contain rich information that is clinically actionable and usefu...
Background Accurate diagnostic tools are needed in schistosomiasis elimination settings to determine...
Deep intracranial tumors situated in eloquent brain regions controlling vital functions present crit...
Foundation models have recently achieved impressive success in computational pathology, demonstratin...
Low-Rank Adaptation (LoRA) has emerged as a leading technique for efficiently fine-tuning text-to-im...
Multimodal learning that integrates genomics and histopathology has shown strong potential in cancer...
Dense breast tissue diminishes the sensitivity of mammographic screening and is a key cancer risk fa...
Meningiomas are the most common primary brain tumors and, despite their benign reputation, often beh...
Advances in spatial transcriptomics (ST) have fundamentally transformed our understanding of tissue ...
Purpose: Non-invasive grading of prostate cancer (PCa) from micro-ultrasound (micro-US) could expedi...
Dermatophytosis is commonly assessed using potassium hydroxide (KOH) microscopy, yet accurate recogn...
Ultrasound (US) imaging poses unique challenges for representation learning due to its inherently no...
Understanding spatial organization of cells is critical for deciphering tissue function and disease....
Background: Current risk stratification for Ewing sarcoma relies heavily on clinical factors such as...
Histopathology, the current gold standard for cancer diagnosis, involves the manual examination of t...
Objective: This study investigates whether incorporating physiological coupling concepts into neural...
Fluorescence imaging with spectrally variant fluorophores allows the spatial mapping of biological s...
It is a critical task to evalaute HER2 expression level accurately for breast cancer evaluation and ...