Oncology/Hematology

Exploring potential methylation markers for ovarian cancer from cervical scraping samples.

BACKGROUND: Ovarian cancer has the highest mortality rate among gynecological cancers, making early ...

MRI-based radiomics for differentiating high-grade from low-grade clear cell renal cell carcinoma: a systematic review and meta-analysis.

PURPOSE: High-grade clear cell renal cell carcinoma (ccRCC) is linked to lower survival rates and mo...

Radiomics of Dynamic Contrast-Enhanced MRI for Predicting Radiation-Induced Hepatic Toxicity After Intensity Modulated Radiotherapy for Hepatocellular Carcinoma: A Machine Learning Predictive Model Based on the SHAP Methodology.

OBJECTIVE: To develop an interpretable machine learning (ML) model using dynamic contrast-enhanced m...

Automated determination of tumor cell percentages in whole slide images: A nuclear classification study for molecular pathology tests.

Calculation of tumor cell percentage, a critical pre-analytical component in molecular pathology, is...

Comparative Study of Cell Nuclei Segmentation Based on Computational and Handcrafted Features Using Machine Learning Algorithms.

Nuclei segmentation is the first stage of automated microscopic image analysis. The cell nucleus is...

MRMS-CNNFormer: A Novel Framework for Predicting the Biochemical Recurrence of Prostate Cancer on Multi-Sequence MRI.

Accurate preoperative prediction of biochemical recurrence (BCR) in prostate cancer (PCa) is essenti...

Deep learning predicts HER2 status in invasive breast cancer from multimodal ultrasound and MRI.

The preoperative human epidermal growth factor receptor type 2 (HER2) status of breast cancer is typ...

Artificial intelligence-assisted CT radiomics: redefining preoperative prediction of lateral cervical lymph node metastasis in papillary thyroid carcinoma.

Circadian rhythm disruption by PARP inhibitors correlates with treatment toxicity in patients with ovarian cancer and is a predictor of side effects.

BACKGROUND: Ovarian cancer is among the most lethal malignancies in women. The advent of PARP inhibi...

A plasma 9-microRNA signature for lung cancer early detection: a multicenter analysis.

Lung cancer remains the leading cause of cancer-related deaths worldwide. Low-dose computed tomograp...

Fibrogenesis-driven tumor progression in clear cell renal cell carcinoma: prognostic, therapeutic implications and the dual role of neuropilin-1.

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is the predominant subtype of renal cancer, with...

Deciphering microbial and metabolic influences in gastrointestinal diseases-unveiling their roles in gastric cancer, colorectal cancer, and inflammatory bowel disease.

INTRODUCTION: Gastrointestinal disorders (GIDs) affect nearly 40% of the global population, with gut...

Artificial Intelligence and Data Science Methods for Automatic Detection of White Blood Cells in Images.

Data scieQuerynce (DS) methods and artificial intelligence (AI) are critical in today's healthcare s...

Gene expression and agent-based modeling improve precision prognosis in breast cancer.

Breast cancer survival is hard to predict because of the complex ways genes and cells interact. This...

FDG-PET intensity normalization improves radiomics- based survival prediction in oropharyngeal cancer patients: a comparison of the SUV with alternative normalization techniques.

BACKGROUND AND PURPOSE: Despite the widespread research application of radiomics, there is a knowled...

The integrated single-cell analysis interpret the lactate metabolism-driven immune suppression in triple-negative breast cancer.

BACKGROUND: Individuals with triple-negative breast cancer (TNBC) exhibit elevated lactate levels, w...

Construction of Sonosensitizer-Drug Co-Assembly Based on Deep Learning Method.

Drug co-assemblies have attracted extensive attention due to their advantages of easy preparation, a...

AI-assisted diffuse correlation tomography for identifying breast cancer.

SIGNIFICANCE: Diffuse correlation tomography (DCT) is an emerging technique for the noninvasive meas...

Comparing methods to improve cone-beam computed tomography for dose calculations in adaptive proton therapy.

BACKGROUND AND PURPOSE: Proton therapy requires dose monitoring, often performed based on repeated c...

Emerging research themes in ferroptosis research for non-small cell lung cancer: a bibliometric and visualized analysis.

BACKGROUND: Ferroptosis, an iron-dependent form of regulated cell death, has garnered significant at...

MRI Radiomics to Predict Early Treatment Response to TACE Combined with Lenvatinib Plus a PD-1 Inhibitor for Hepatocellular Carcinoma with Portal Vein Tumor Thrombus.

PURPOSE: To develop and validate a predictor for early treatment response in hepatocellular carcinom...