Oncology/Hematology

Latest AI and machine learning research in oncology/hematology for healthcare professionals.

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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 prolifera...

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 A...

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-re...

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 propertie...

Efficacy and safety of first-line CDK4/6 inhibitors plus AI therapy for patients with HR +/HER2- advanced breast cancer: a network meta-analysis.

BACKGROUND: CDK4/6 inhibitors plus aromatase inhibitors (AI) significantly improve the therapeutic e...

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 ...

Classification of image-enhanced endoscopy in colon tumors.

Colorectal cancer accounts for 10% of global cancer cases in each year, making accurate evaluation a...

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 i...

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) afte...

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

Timely intervention for Alzheimer's disease (AD) requires early detection. The development of immuno...

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 appr...

Mechanisms and Applications of Apolipoproteins and Apolipoprotein Mimetic Peptides: Common Pathways in Cardiovascular Disease and Cancer.

Apolipoproteins are the defining functional component of lipoproteins and play critical roles in lip...

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...

Breakthroughs and challenges of organoid models for assessing cancer immunotherapy: a cutting-edge tool for advancing personalised treatments.

Organoid models are powerful tools for evaluating cancer immunotherapy that provide a more accurate ...

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 be...

Annotation-Free Whole-Slide Image Analysis Method to Assess Immune Infiltration in Colorectal Cancer.

PURPOSE: Tumor-infiltrating lymphocytes (TILs) play a crucial role in host antitumor processes. High...

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