Latest AI and machine learning research in pathology for healthcare professionals.
Liquid biopsy via plasma cell-free DNA (cfDNA) is transforming precision medicine by enabling non-in...
BACKGROUND: The exact molecular mechanisms governing a heightened risk of chronic spontaneous urtica...
The 6th edition of the WHO Classification of Breast Tumours introduces both major and minor changes ...
The transformation of anatomic pathology from microscope-based practice to digital and computational...
OBJECTIVES: To characterize clinical-pathologic tumor features associated with artificial intelligen...
Insects comprise millions of species, many experiencing severe population declines under environment...
BACKGROUND: Oral squamous cell carcinoma (OSCC) remains a leading cause of cancer-related morbidity ...
Leukemia is a life-threatening blood cancer requiring rapid and accurate diagnosis to improve patien...
The field of pathology has experienced several transformative changes in recent years with the adven...
Amino acid metabolism serves as a central hub linking retinal energy supply, neurotransmission, and ...
OBJECTIVES: To validate blood oxygen level-dependent MRI (BOLD-MRI) for non-invasive discrimination ...
Intraoperative frozen section pathological diagnosis of lung adenocarcinoma serves as the gold stand...
BACKGROUND: Accurate prediction of clinical outcomes is challenging yet important for patient care. ...
BACKGROUND: Glioblastoma recurrence is driven by diffuse microscopic infiltration beyond the contras...
INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) affects up to 30% of ...
BACKGROUND: Histone deacetylases (HDACs) regulate neuroprotection; however, Trichostatin A (TSA), an...
Cuproptosis is a recently described copper-dependent form of regulated cell death linked to mitochon...
PURPOSE: Non-invasive grading of prostate cancer (PCa) from micro-ultrasound (micro-US) could expedi...
OBJECTIVE: To develop and validate a deep learning model for interpretation of fluorescence confocal...
OBJECTIVES: To assess the accuracy of large language models (LLMs) in Ovarian-Adnexal Reporting and ...
OBJECTIVE: This study aims to delineate the molecular mechanisms through which aristolochic acid (AA...