Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND AND AIM: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldw...
Metabolic dysfunction-associated steatotic liver disease (MASLD) poses significant diagnostic challe...
Disease-modifying therapies for Alzheimer's disease demand precise timing decisions, yet current pre...
BACKGROUND: Cervical squamous cell carcinoma is a major global health burden, with many patients pre...
PURPOSE: Preoperative identification of lymph node metastasis (LNM) in cervical cancer is crucial fo...
The tumor microenvironment (TME), composed of tumor cells together with stromal cells, immune cells,...
Somatic variant calling algorithms typically detect mutations in cancer genomes by comparing sequenc...
Precise staging of endometriosis remains a clinical challenge, as current diagnosis depends almost e...
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, with prognosis ...
Breast cancer (BRCA) heterogeneity necessitates robust prognostic biomarkers. Programmed cell death ...
Immunosenescence, the age-related decline in immune function, plays a crucial role in the pathogenes...
Breast tumor is the most commonly detected tumors and remain one of the leading causes of cancer-rel...
Magnetic resonance imaging (MRI) is essential in the accurate diagnosis of brain tumors so that soun...
BACKGROUND: Bilateral hepatocellular carcinoma represents a biologically heterogeneous disease with ...
Pyrethroid insecticides are widely used in agricultural and domestic settings. Increasing evidence s...
Accurate segmentation of brain tumors in magnetic resonance imaging (MRI) is essential for diagnosis...
OBJECTIVE: This study explored the relationship between clinical phenotypes and immuno-molecular fea...
While thousands of AI prediction models are published annually, few are adopted into routine practic...
STUDY OBJECTIVES: This study aimed to compare YASA's automated sleep staging to manual staging in th...
In this article, we propose a deep reinforcement learning based chemotherapy regulation framework to...
BACKGROUND: Clinical trial enrollment in oncology remains critically low, with fewer than 5% of elig...