Oncology/Hematology

Push Forward Clinical Management of Hematological Toxicity due to Lenalidomide Overexposure: Model-Informed Precision Dosing for Chinese Population With Renal Insufficiency.

Dose-dependent hematological toxicity of lenalidomide has been reported previously, and thus, there is a clinical need for dose individualization to manage toxicities. The objectives of this study were to explore optimal individualized dosing regimens for Chinese B-cell malignancies patients with varying degrees of renal function, and to push forward clinical management of hematological toxicity d...

Modified albumin-bilirubin grade and alpha-fetoprotein score for predicting prognosis of hepatocellular carcinoma patients undergoing conventional transarterial chemoembolization.

BACKGROUND: Predicting post-treatment prognosis in hepatocellular carcinoma (HCC) patients undergoing conventional transarterial chemoembolization (cTACE) is challenging due to tumor heterogeneity. We here assessed the utility of the modified albumin‒bilirubin grade and α-fetoprotein (mALF) score for predicting the prognosis of cTACE-treated HCC patients.

Pien Tze Huang Attenuates Cell Proliferation and Stemness Promoted by miR-483-5p in Hepatocellular Carcinoma Cells.

OBJECTIVE: To investigate the effect of miR-483-5p on hepatocellular carcinoma (HCC) cells proliferation and stemness, as well as the attenuating effe...

Comparison of short- and long-term outcomes for robotic versus laparoscopic gastrectomy in elderly patients with gastric cancer: a multicenter cohort study.

BACKGROUND: There is limited evidence from large-scale multicenter studies regarding the short- and long-term efficacy of robotic gastrectomy (RG) in ...

Dual nanozyme sensor enables rapid at-home cancer surveillance.

Early detection of cancer is critical for improving patient survival rates, and current in vitro diagnostic methods show great potential, particularly...

Mitochondrial dysfunction and cell death induced by Toona sinensis leaf extracts through MEK/ERK signaling in glioblastoma cells.

Toona sinensis, a kind of phytochemicals in traditional Chinese medicine widely used in South-East Asia, has been recognized for its anticancer proper...

Isolation and characterization of a bioactive compound from Sphingomonas sanguinis DM with cytotoxic and molecular docking analysis.

Datura metel, a common plant in the Solanaceae family, is known for its valuable medicinal properties. The metabolites created by its rhizosphere bact...

Facile phyto-mediated synthesis of ternary CuO/MnO/ZnO nanocomposite using Nigella Sativa seeds extract: characterization,antimicrobial, and biomedical evaluations.

The phyto-synthesis of ternary CuO/ MnO/ZnO nanocomposite was achieved by the utilization of an eco-friendly, straightforward approach that involved t...

Interferon gamma-induced hub genes and key pathways: A study based on biological network analysis and experimental validation.

By performing a biological network analysis, we identified some hub genes, which were up- or down-regulated in the breast cancer (BC) cell line after ...

Deep learning assisted identification of SCUBE2 and SLC16 A5 combination in RNA-sequencing data as a novel specific potential diagnostic biomarker in prostate cancer.

Despite the extensive use of biomarkers like PSA, AMACR, and PCA3, prostate cancer (PCa) is still a major clinical challenge, demanding the developmen...

Classification of image-enhanced endoscopy in colon tumors.

Colorectal cancer accounts for 10% of global cancer cases in each year, making accurate evaluation and resection crucial. Imaging-enhanced endoscopy h...

The role of nanomedicine and artificial intelligence in cancer health care: individual applications and emerging integrations-a narrative review.

Cancer remains one of the deadliest diseases globally, significantly impacting patients' quality of life. Addressing the rising incidence of cancer de...

Radiomic analysis based on machine learning of multi-sequences MR to assess early treatment response in locally advanced nasopharyngeal carcinoma.

ObjectiveThe prediction of early response in locally advanced nasopharyngeal carcinoma (LA-NPC) after concurrent chemoradiotherapy (CCRT) is important...

Predicting Mesothelioma Using Artificial Intelligence: A Scoping Review of Common Models and Applications.

IntroductionMesothelioma is a type of lung cancer caused by asbestos exposure, and early diagnosis is crucial for improving survival chances. Artifici...

AI-driven glomerular morphology quantification: a novel pipeline for assessing basement membrane thickness and podocyte foot process effacement in kidney diseases.

BACKGROUND AND OBJECTIVE: Measuring the thickness of the glomerular basement membrane (GBM) and assessing the percentage of podocyte foot process effa...

Precise Electromagnetic Modulation of the Cell Cycle and Its Applications in Cancer Therapy.

Precise modulation of the cell cycle via electromagnetic (EM) control presents a groundbreaking approach for cancer therapy, especially in the develop...

Interpretable MRI-Based Deep Learning for Alzheimer's Risk and Progression.

Timely intervention for Alzheimer's disease (AD) requires early detection. The development of immunotherapies targeting amyloid-beta and tau underscor...

An integrated machine learning-based prognostic model in head and neck cancer using the systemic inflammatory response index and correlations with patient reported financial toxicity.

OBJECTIVE: To investigate the prognostic utility of systemic inflammatory response index (SIRI) as a biological readout of stress associated immune mo...

Machine learning model for differentiating malignant from benign thyroid nodules based on the thyroid function data.

OBJECTIVES: To develop and validate a machine learning (ML) model to differentiate malignant from benign thyroid nodules (TNs) based on the routine da...

Gradient-driven deep penetration of self-electrophoretic nanoparticles in acidic tumor microenvironments for enhanced antitumor therapy.

Difficulty of nanomedicines to effectively penetrate the tumor core and achieve effective killing of tumor stem cells is an important factor leading t...