Latest AI and machine learning research in pathology for healthcare professionals.
Predictions of pKa values provide insights into key aspects of molecular behavior, including solubility, lipophilicity, and binding affinity. Despite their importance, experimental microscopic pKa data remain scarce, creating a bottleneck in the training of accurate prediction models. In addition, inconsistent terminology across commonly used data sets hinders effective model development and bench...
Skin cancer (SC) is one of the most prevalent forms of cancer worldwide. Both melanoma and non-melanoma types pose major challenges for early detection, accurate diagnosis, and proper treatment. Conventional diagnostic approaches, such as biopsy and visual examination, are often time-consuming, subjective, and prone to human error. Recent advances in artificial intelligence (AI) and deep learning ...
OBJECTIVE: Accurate prediction of postoperative facial appearance is essential for orthognathic surgical planning, yet remains challenging due to the ...
Non-muscle-invasive bladder cancer (NMIBC) has high rates of recurrence and progression, yet its molecular landscape across different ethnicities rema...
Microorganisms play significant roles in gastric cancer (GC) progression. However, it is unknown whether circulating microbiome DNA (cmDNA) possesses ...
Urinary extracellular vesicles (uEVs) are promising biomarkers for prostate cancer (PCa). Although novel uEV-based biomarkers have advanced early diag...
BACKGROUND: Breast cancer (BRCA) is the most common malignant tumor in women, with prognoses differing markedly by molecular subtype. Exercise is know...
BACKGROUND: Environmental cadmium (Cd) pollution poses a severe threat to human health due to its strong bioaccumulation and high carcinogenicity. Alt...
BACKGROUND: Intrahepatic cholangiocarcinoma (ICC) is a highly aggressive subtype of primary liver cancer with insidious onset, early metastasis, and p...
BACKGROUND: Sperm morphology detection technology has important research value in diagnosing male infertility. Traditional manual detection methods ar...
BACKGROUND: The integration of clinical decision support tools in medical practice is challenging and must be carefully undertaken, especially in canc...
The dorsal root ganglion (DRG) is examined for sex-dependent phenotypes in sensory neurons, satellite glial cells (SGCs), and local macrophages follow...
BACKGROUND: Lactate promotes histone lactylation, which affects protein transcription and translation, thereby influencing tumour cell progression. Ho...
BACKGROUND: Neoadjuvant chemoradiotherapy (nCRT) is the standard treatment for locally advanced rectal cancer (LARC), yet clinically validated biomark...
BACKGROUND: Interstitial lung disease (ILD) represents a significant extra-articular complication associated with rheumatoid arthritis (RA), contribut...
PURPOSE: To enable the rapid generation of subject-specific whole-body anatomical models for patient-specific prediction of torso-local specific absor...
INTRODUCTION: Biomarker-guided stratification is essential for optimizing adjuvant systemic therapy in early-stage breast cancer, requiring a balance ...
Recent advances in digital pathology and artificial intelligence (AI) are transforming our ability to diagnose myeloid neoplasms, including acute myel...
PURPOSE: For patients with oral cavity cancer (OCC) and oropharyngeal cancer (OPC), the time between initial diagnosis and start of treatment can have...
The role of SLC26A3 in the sensitivity to oxaliplatin, a widely used chemotherapy drug for colorectal cancer (CRC), remains unclear. This study aimed ...