Latest AI and machine learning research in oncology/hematology for healthcare professionals.
The hallmarks of cancer were introduced by Hanahan and Weinberg as a conceptual organizing framework to distil the complexity of tumours. This concept of cancer hallmarks has become an enduring theme in cancer research. Moreover, an increasing number of therapeutic strategies are being aimed at targeting these hallmarks. However, translating them into the clinic requires technologies to monitor th...
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is an aggressive tumor with high metastatic potential and therapeutic resistance, yet the role of folate metabolism in its pathogenesis and immune evasion remains unclear. This study aims to develop and validate a folate metabolism-related gene (FMRG) scoring system to stratify patients by prognostic risk and immune phenotypes, and to explore the...
BACKGROUND: Accurate disease phase assessment remains clinically important in chronic myeloid leukemia (CML), as progression to accelerated or blast p...
BACKGROUND: Ovarian cancer patients requiring intensive care unit (ICU) admission face particularly grave prognosis, yet current prognostic models rel...
Glioblastoma (GBM) is one of the most aggressive and lethal primary brain tumors in adults, characterized by dynamic clonal evolution and extensive ge...
Endometrial cancer (EC) is the most common gynaecological malignancy worldwide, yet the prognosis for advanced and recurrent disease remains poor, hig...
BACKGROUND: Palliative care improves the quality of life of people living with life-limiting conditions and their families; however, global access rem...
OBJECTIVES: This study aimed to use machine learning to explore Behçet's syndrome (BS) heterogeneity by integrating immunocyte subpopulations and clin...
Cervical, endometrial, ovarian, vulvar, vaginal, fallopian tube, and gestational trophoblastic neoplasia (GTN) are major gynecologic cancers that sign...
Malignant tumors, including osteosarcoma (OS), are major non-communicable chronic diseases driven by systemic inflammation and oxidative stress. While...
The KRAS G12D mutation is commonly found in pancreatic cancer and is integral to the cell signaling pathway, making it a critical target for drug deve...
BACKGROUND: Platinum resistance is a major determinant of poor outcome in advanced epithelial ovarian cancer, yet reliable predictors available before...
Tumor heterogeneity-encompassing diverse cellular phenotypes, genomic alterations, and micro-environmental contexts-is a principal barrier to effectiv...
RATIONALE AND OBJECTIVE: Anaplastic thyroid carcinoma (ATC) may arise from the progression of differentiated thyroid cancers, but the mechanisms are n...
Solar radiation forecasting is a complex task since the radiation signal is nonlinear, intermittent and is significantly influenced by meteorological ...
Breast cancer is a biologically heterogeneous disease in which tumor-intrinsic diversity and the tumor immune microenvironment jointly shape therapeut...
Trypanosomatids, including the genera Trypanosoma and Leishmania, are protozoan parasites of significant medical and veterinary relevance. These organ...
Reconstruction of sea surface temperature is critical for marine monitoring, yet conventional edge devices based on complementary metal-oxide-semicond...
Gastric cancer (GC) remains a major cause of cancer-related mortality worldwide. Increasing evidence suggests that metabolic reprogramming contributes...
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a five-year survival rate below 10%. Regulatory cell death (RCD) plays ...