Latest AI and machine learning research in pathology for healthcare professionals.
Accurate assessment of Ki-67 expression plays a critical role in the risk stratification and prognos...
The expanding availability of multi-omics profiling and advances in artificial intelli-gence (AI) an...
Artificial intelligence (AI) is increasingly used in digital pathology. Publicly available histopath...
Accurate detection of breast cancer is essential, as it remains a leading cause of cancer-related mo...
Super-resolution imaging has revolutionized the study of systems ranging from molecular structures t...
Optical microscopy combined with machine learning for image analysis is seeing increasing use for st...
The precise segmentation of cervical cell images is regarded as a fundamental prerequisite for the i...
Electrofacies (EF) analysis has become an effective approach for reservoir characterization, particu...
Accurate differentiation between benign and malignant thyroid nodules on ultrasound remains clinical...
Treatment effectiveness is hindered by the phenotypic plasticity of cancer and the genetic complexit...
Cervical cancer is still a major public-health challenge, especially in low and middle-income countr...
Targeted drug delivery in the gastrointestinal tract remains challenging because therapeutics must o...
PURPOSE: The advancement of decision support systems for pathology and their implementation in clini...
Infertility affects approximately one in six people globally and demand for ARTs, is expected to ris...
Primary aldosteronism is a common and potentially curable cause of secondary hypertension, yet it re...
Nonclinical toxicity studies are essential components of the drug development process and are based ...
The emergence of bacterial resistance to antibiotics poses a significant threat to human health; thu...
Uveal melanoma is the most frequent primary intraocular malignancy in adults and is characterized by...
BACKGROUND & AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a complex, mu...
RATIONALE AND OBJECTIVES: MRI-proton density fat fraction (MRI-PDFF) is widely applied in clinical p...
Accurate and efficient diagnosis of breast cancer from histopathological images remains a major chal...