Latest AI and machine learning research in oncology/hematology for healthcare professionals.
OBJECTIVE: Glioblastoma multiforme (GBM) is an aggressive brain tumor in which incomplete margin delineation during surgery can contribute to residual disease or unintended damage to healthy tissue. This study proposes an artificial intelligence- and robotics-enabled closed-loop framework for automated tumor delineation and guided histotripsy ablation. METHODS: Deep learning models were trained on...
Patients with pancreatic cancer have low survival rates, largely because patients are diagnosed at an advanced stage. Current strategies for early detection, including imaging, blood tests, and genetic sequencing, have limited performance. Recent advances in artificial intelligence (AI) have shown that AI models can identify subtle pre-diagnostic imaging changes that may not be visible to radiolog...
Hepatocellular carcinoma (HCC) still occurs in patients with hepatitis C who achieved sustained virologic response (SVR) after direct-acting antiviral...
Malignant peritoneal mesothelioma (MPM) is a rare, aggressive cancer with limited treatment options and extremely poor survival outcomes. Due to the d...
PURPOSE: To investigate the value of cone-beam computed tomography (CBCT)-based delta radiomics for predicting short-term radiotherapy (RT) response i...
OBJECTIVE: To evaluate and compare different methods for quantifying uncertainty in deep learning-based automatic sleep staging, thereby enhancing tra...
Although terahertz (THz) metasurfaces based on bound state in the continuum (BIC) have garnered significant attention in biomedical applications, thei...
High mammographic density is a well-known risk factor for breast cancer and reduces the sensitivity of mammography-based screening. While automated ma...
Soft-tissue tumors are rare mesenchymal neoplasms characterized by extensive morphologic and genetic heterogeneity. Advances in molecular pathology ha...
Systemic therapies for advanced hepatocellular carcinoma (HCC) have expanded considerably with the advent of tyrosine kinase inhibitors, immune checkp...
BACKGROUND: Urine cytology is a noninvasive tool for detecting urothelial carcinoma, yet its performance depends heavily on expert cytologists and tim...
Evaluation of body composition (BC) is a set of biomarkers, including fat, muscle and bone, that allows the quantification of an individual's composit...
BACKGROUND: This study investigated the impact of previous abdominal surgery (PAS) on short-term outcomes in robotic resection for colorectal cancer. ...
Radiation resistance in bacteria is a critical trait with implications for biotechnology, medicine and environmental science. Deinococcus species poss...
BACKGROUND: In Ethiopia, breast cancer patients often present with advanced-stage disease, leading to high mortality. This study aimed to quantify dia...
OBJECTIVE: Pancreatic cancer (PC) poses a significant threat to patient quality of life. Ferroptosis, a novel form of non-apoptotic cell death, is imp...
BACKGROUND: Esophageal cancer ranks among the most lethal malignancies worldwide, particularly prevalent in the Guangdong-Chaoshan region of China due...
Macrophages are highly adaptable immune cells that play dual roles in the tumor microenvironment (TME), either promoting or restraining tumor progress...
BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) are associated with poor 5-year survival and substantial treatment-related morbidity. Neoadj...
Although major advances have been made in the field of mesoscopic imaging and associated tissue clearing protocols, these applications are greatly cha...