Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND: Predicting response to immune checkpoint inhibitor plus tyrosine kinase inhibitor (IO+TK...
BACKGROUND: Oral cavity squamous cell carcinoma (OSCC) is a global health burden, where negative mar...
Tumor tissue engineering, integrating organoid, microfluidic, and biofabrication technologies, has o...
UNLABELLED: Metastasis is the leading cause of cancer deaths. To develop strategies for intercepting...
UNLABELLED: Pediatric sarcomas present diagnostic challenges due to their rarity and diverse subtype...
Identification of malignant and non-malignant regions in breast cancer whole slide images (WSIs) is ...
This paper reports on insights from the OPTIMA (Optimal Treatment for Patients with Solid Tumours in...
OBJECTIVES: Accurate noninvasive classification of hepatic lesions remains a diagnostic challenge, p...
Immunotherapy has revolutionized cancer treatment, yet characterizing the spatial complexity of the ...
PURPOSE: Natural language processing (NLP, artificial intelligence) can enable automated identificat...
Detection of early hepatocellular carcinoma (eHCC) is important for timely treatment and improved pr...
Polymer-drug conjugates (PDCs) represent a remarkable advancement in modern medicine, leveraging the...
Early detection of lung cancer remains challenging due to limitations of current methods. We develop...
Esophageal squamous cell carcinoma (ESCC) prognosis remains poor, and traditional models often fail ...
The most common cancers in women, ovarian, cervical and endometrial, are still a significant cause o...
Although pediatric thyroid cancer is rare, it has characteristics distinct from those of adult thyro...
BACKGROUND. Research on artificial intelligence (AI)-based computer-assisted detection and diagnosis...
BACKGROUND: Ulcerative colitis (UC) exhibits a heterogeneous clinical course, complicating prognosti...
OBJECTIVES: By comparing deep learning and habitat analysis models based on contrast-enhanced CT (CE...
Tumor dynamic models are vital for evaluating oncology treatments and guiding clinical drug developm...
The unprecedented success of mRNA vaccines during the COVID-19 pandemic has accelerated the developm...