This systematic review explores the role of artificial intelligence (AI) and machine learning (ML) technologies in the diagnosis and treatment of thyroid cancers (TC), focusing on enhancing precision, risk assessment, and tailored care. By analyzing ten studies, the review highli...
Open access
Research Article10.9734/jcti/2024/v14i3261
Rushin Patel, Mrunal Patel, Zalak Patel, Himanshu Kavani, Afoma Onyechi, Jessica Ohemeng-Dapaah, Dhruvkumar Gadhiya, Darshil Patel & Chieh Yang·Journal of Cancer and Tumor International·2024
Objective: The objective of this study is to thoroughly investigate the use of artificial intelligence (AI) and machine learning (ML) techniques for diagnosing and predicting prognosis in gastric cancer, utilizing the latest available data. Methods: Following the Preferred Report...
Open access
Research Article10.9734/jcti/2024/v14i1241
Background: Chimeric antigen receptor T-cell (CAR T-cell) therapy has revolutionised cancer treatment, particularly for relapsed or refractory haematological malignancies. However, treatment-related toxicities, including tumour lysis syndrome (TLS), remain a significant concern....
Open access
Research Article10.9734/jcti/2026/v16i3363