Latest AI and machine learning research in other cancers for healthcare professionals.
RATIONALE AND OBJECTIVES: Immune checkpoint inhibitors (ICIs) have improved survival in non-small cell lung cancer (NSCLC); however, predicting immune-related adverse events (irAEs) remains a clinical challenge. We previously showed that high 18F-fluorodeoxyglucose (18F-FDG) uptake in the non-cancerous lung (NCL) on PET/CT is associated with the risk of interstitial lung disease. This study furthe...
BACKGROUND: The European Organisation for Research and Treatment of Cancer's STRASS trial, the only completed randomised study of preoperative radiotherapy in retroperitoneal sarcoma, showed no overall benefit. Its subgroup analysis has been interpreted as supporting radiotherapy for all patients with liposarcoma, whereas the STREXIT extension has been interpreted as supporting radiotherapy for we...
BACKGROUND: Metastatic disease remains the leading cause of cancer-related death, yet most precision oncology strategies still emphasize profiling pri...
PURPOSE: Biochemical remission after transsphenoidal resection for acromegaly remains challenging, and early prognostication is limited. This study ap...
PURPOSE: To develop a deep learning (DL) approach for automatic segmentation and accurate risk stratification in multiple myeloma (MM) using whole-bod...
Nuclear receptor-binding SET domain protein 3 (NSD3) is a histone H3K36 methyltransferase implicated in lung squamous cell carcinoma, yet chemical tar...
BACKGROUND: Nasopharyngeal carcinoma (NPC) can be detected early on MRI, but adoption for screening is limited by a shortage of experienced specialist...
Extracellular vesicles (EVs) are nanoscale, membrane-bound particles that transport diverse biomolecules-including proteins, nucleic acids, lipids, an...
Breast cancer remains a leading cause of cancer-related mortality in women, and current prognostic models are suboptimal. The transcriptomic role of p...
Single-cell transcriptomics and machine learning methods are increasingly used to identify immune-related biomarkers in solid tumors, yet their combin...
Hepatocellular carcinoma (HCC) is an aggressive malignancy with limited therapies. We explored the anti-HCC mechanisms of Zanthoxylum nitidum (Roxb.) ...
Monoclonal gammopathy of undetermined significance is a common precursor of multiple myeloma, yet its prevalence and clinical distribution remain poor...
Focal epilepsy constitutes 60-70% of epilepsy, and up to half of patients do not achieve seizure freedom with their first antiseizure medication (ASM)...
Artificial intelligence (AI) demonstrates potential throughout the cancer care continuum, with evidence supporting its application in medical imaging ...
OBJECTIVE: Personalized tools for accurately predicting papillary thyroid carcinoma (PTC) patients' response to initial 131I therapy are lacking. This...
Lung cancer is one of the most prevalent causes of cancer-related deaths in the world, and in this context, accurate estimation of tumor burden and tr...
OBJECTIVE: The accurate assessment of hemiparetic gait after stroke was essential for understanding the extent of motor impairment and for guiding reh...
Numerous observations have indicated that significant amounts of liver fibrosis can either completely disappear or be substantially remodelled followi...
BACKGROUND: Results from the IMPACT trial suggest that initiation of peanut oral immunotherapy (pnOIT) before age 4 years can increase chances of achi...
RATIONALE AND OBJECTIVES: Follicular neoplasms are difficult to classify by ultrasound, as they often present as thyroid adenomatoid nodules (TANU). F...