Latest AI and machine learning research in oncology/hematology for healthcare professionals.
BACKGROUND: The role of cytoreductive nephrectomy (CN) in metastatic papillary renal cell carcinoma ...
Immune checkpoint inhibitors, particularly antibodies targeting programmed cell death 1 (PD-1), are ...
BACKGROUND: SERPING1, which encodes the C1 inhibitor (C1-INH) of the complement system, and plays a ...
PURPOSE: Oral tongue squamous cell carcinoma (OTSCC) is characterized by aggressive local invasion a...
Acute Lymphoblastic Leukemia (ALL) is one of the most aggressive hematological malignancies, and its...
Accurate multimodal deformable registration between magnetic resonance (MR) and computed tomography ...
Cancer patients are particularly susceptible to Drug-Drug Interactions (DDIs) due to frequent polyph...
BACKGROUND: Little is known about large language model (LLM) performance on palliative care (PC)-rel...
Histopathology is the cornerstone of oncology diagnosis, while whole-slide images (WSIs) enable the ...
AIM: To develop an automated framework for deep learning (DL)-based segmentation, pulmonary artery i...
BACKGROUND: Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape of advanced...
BACKGROUND: Breast cancer transcriptional programs span malignant epithelial cells, and the tumor mi...
The heterogeneity and immunosuppressive characteristics of the tumor microenvironment present signif...
Predicting pathological complete response (pCR) to neoadjuvant immunochemotherapy in non-small cell ...
Gastric cancer (GC) remains a leading cause of cancer-related mortality worldwide, with therapeutic ...
The tumor microenvironment (TME) is composed of diverse heterogeneous components and plays a crucial...
RATIONALE AND OBJECTIVES: Thyroid cancer, the fastest-growing endocrine malignancy, is shifting from...
The binary pathological complete response (pCR) status of triple-negative breast cancer (TNBC) patie...
Deep learning is capable of efficiently predicting the therapeutic efficacy of neoadjuvant chemother...
BACKGROUND: Phenolic endocrine-disrupting chemicals (EDCs) like nonylphenol (NP) and octylphenol (OP...
This data article describes an original synthetic/simulated dataset designed to support materials-in...