Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Functional precision oncology complements genomic approaches by directly testing treatment options on patient-derived models. However, existing platformssuch as patient-derived xenografts (PDXs) and patient-derived organoids (PDOs), face major barriers in clinical use due to technical challenges, including limited standardization, high costs, long assay times, scalability constraints, and incomple...
PURPOSE OF REVIEW: Endoscopic resection (ER) has transformed the management of early gastrointestinal (GI) malignancies by offering curative treatment with low morbidity and organ preservation. Traditionally restricted to mucosal disease with negligible risk of lymph node metastasis (LNM), recent advances in technique and risk stratification have prompted a re-evaluation of ER indications for esop...
Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive lung disease with a survival rate comparable to or worse than that of many cancers. Prop...
Bone scan imaging for the detection of bone metastasis of breast cancer has been widely adopted; however, noise, anatomy superimposition, and small si...
Immune checkpoint inhibitors (ICI) have improved clinical outcomes for some patients with advanced NSCLC, however a substantial proportion of patients...
Despite recent advances in genome-wide profiling and the discovery of novel therapeutic options for colorectal adenocarcinoma (COAD), effective patien...
Autologous stem-cell transplantation is a fundamental therapy for multiple myeloma. Although inpatient chemo-based stem-cell mobilization (SCM) is sta...
Classification of benign, borderline, and malignant adnexal masses is critical to effective clinical management, but remains a challenge. We developed...
This study systematically predicts prognosis and key gene targets for immunotherapy in hepatocellular carcinoma (HCC) patients based on the joint scre...
Occult pathological T3a (pT3a) upstaging in cT1b-T2a clear cell renal cell carcinoma (ccRCC) correlated with poor prognosis and necessitated modificat...
Emerging research highlights the key role of the central nervous system in regulating peripheral tumor progression via neural, neuroendocrine, and imm...
BACKGROUND: Gastroesophageal cancer has a poor prognosis, and treatment significantly impacts health-related quality of life (HRQoL). Accurate predict...
Inclusion of physiologically relevant clearance mechanisms into organ-on-a-chip models is essential to reproduce tissue exposure and predict therapeut...
BACKGROUND: Accurate differentiation between luminal A and B subtypes of breast cancer is critical for selecting therapeutic strategies. However, curr...
Radiation dose assessment in exposed individuals relies on the dicentric assay, the gold-standard cytogenetic biodosimeter that quantifies radiation-i...
BACKGROUND: Nasopharyngeal carcinoma (NPC) poses significant diagnostic challenges due to the anatomical complexity of the nasopharynx and reliance on...
The integration of robotics and artificial intelligence (AI) into nanomedicine represents a significant advancement in developing targeted therapeutic...
PURPOSE OF REVIEW: Cancer survivorship is increasingly recognized as an important component of cancer care, yet access to high-quality care remains in...
BACKGROUND: Gastric cancer (GC) requires novel therapies. This study employed artificial neural networks (ANNs) to repurpose existing drugs against GC...