Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Prostate cancer is a leading cause of morbidity and mortality for adult males in the US. The diagnos...
PURPOSE: Nasopharyngeal carcinoma (NPC) is a category of tumors with high incidence in head-and-neck...
The tumor microenvironment (TME) within mucosal neoplastic tissue in oral cancer (ORCA) is greatly i...
Renal cell carcinoma (RCC) is the most common renal cancer in adults. The histopathologic classifica...
BACKGROUND: Targeted therapy and immunotherapy put forward higher demands for accurate lung cancer c...
Colorectal cancer (CRC) is one of the most common cancer, and the early detection of CRC is essentia...
Multi-domain proteins are not only formed through natural evolution but can also be generated by rec...
To examine whether utilizing an employed surgical first assistant or a physician as an assistant dur...
OBJECTIVES: While the prevalence of active cancer patients experiencing acute stroke is increasing, ...
Endonasal surgery is a minimally invasive approach for the removal of pituitary tumors (sarcomas). I...
Cox Proportional Hazards (CPH) analysis is the standard for survival analysis in oncology. Recently,...
PURPOSE: Magnetic Resonance Imaging (MRI) provides an essential contribution in the screening, detec...
Artificial intelligence and machine learning (ML) promise to transform cancer therapies by accuratel...
Mesenchymal stromal cells (MSCs) are multipotent cells that have great potential for regenerative me...
BACKGROUND: Survival and drug response are two highly emphasized clinical outcomes in cancer researc...
Background Conventional radiologic modalities perform poorly in the radiated rectum and are often un...
The era of real-time radiotherapy is upon us. Robotic and gimbaled linac tracking are clinically est...
Small cell lung cancer (SCLC) is a particularly aggressive tumor subtype, and dihydroorotate dehydro...
Three-dimensional in vitro tumor models provide more physiologically relevant responses to drugs tha...
Brain tumor classification plays an important role in clinical diagnosis and effective treatment. In...
This study addresses the core issue facing a surgical team during breast cancer surgery: quantitativ...