Cancer treatments can exert cardiotoxic effects, but screening and monitoring can detect and minimize cancer therapy-related ...

An artificial intelligence-based imaging analysis could serve as an aid in surgical planning for patients with kidney tumors.

A method to address discrepancies between predicted biological age and actual chronological age has been validated as a biomarker in predicting OS.

After nephron-sparing treatment for RCC, patients with local recurrence had a higher mortality risk than patients without recurrence.

Current risk stratification models perform well in assessing recurrence risk in patients with non-clear cell renal cell carcinoma, researchers report.

An AI-based model for analyzing images appeared better able to predict ccRCC from CT-based images than a tumor size-based model was.

These findings support the potential of AI-driven histopathological analysis as a biomarker in melanoma,” study researchers wrote.

Researchers sought to develop and validate artificial neural networks for overall survival and progression-free survival in older adults with HNSCC following definitive chemoradiation.

The researchers noted that the findings support the existing literature and suggest a connection between severe sunburns and CSCC that is similar to what is seen with basal cell carcinoma.

Patients with initially low- or intermediate-risk primary tumors will often have a high-risk recurrence before progressing to more advanced disease, whereas primary high-risk tumors typically show ...

The panel is able to independently predict metastasis, local recurrence, and overall survival in patients with cutaneous squamous cell carcinoma, researchers reported.

Researchers assessed whether combination mosunetuzumab and polatuzumab vedotin would reduce the risk of disease progression or death in patients with LBCL.