Oncology/Hematology

Investigation of Fatty Acid Metabolism-Associated Molecular CPOX and the Underlying Mechanism in Follicular Lymphoma.

Dysregulated lipid metabolism is a key driver of follicular lymphoma (FL). This study aimed to explo...

Deep learning-based 4D robust optimization of intensity-modulated proton therapy for lung cancer radiotherapy.

Intensity-modulated proton therapy (IMPT) provides steep dose gradients but is vulnerable to range u...

Assessment Tools of Radiation Skin Injury in Head and Neck Cancer: A Narrative Review of Preclinical and Clinical Studies.

Radiation skin injury (RSI) is an unavoidable side effect of radiotherapy that delays the treatment ...

Computer-aided diagnosis of papillary thyroid carcinoma based on deep learning technology.

This article examines global thyroid cancer（TC） incidence trends, with emphasis on epidemiological p...

A metabolic-immune subtype of breast cancer defined by G6PD and SHMT2: From single‑cell dissection to dual-targeted therapy.

Breast cancer heterogeneity limits the precision of current prognostic and therapeutic strategies, u...

AI-driven identification of a selective dual function inhibitor blocking HK2 activity and HK2-VDAC1 interaction displaying enhanced anticancer efficacy under hypoxia.

Selective inhibition of hexokinase 2 (HK2) represents a promising therapeutic strategy due to the pi...

Endothelial SMAD1-MCAM axis facilitates sunitinib resistance and progression of clear cell renal cell carcinoma via LAMB1-ITGB1 signaling.

Clear cell renal cell carcinoma (ccRCC) is characterized by high metastatic potential and frequent r...

Artificial intelligence-based prognostic models in acute myeloid leukemia: systematic review and meta-analysis.

Machine learning and deep learning tools have been proposed to improve survival prediction in acute ...

IDH enzyme inhibition in cancer therapy: mechanisms, mutational insights, and effects of IDH inhibitors in glioma, acute myeloid leukemia and chondrosarcoma.

Isocitrate dehydrogenase (IDH) enzymes have recently emerged as a highly promising target for therap...

Toward a cure for multiple myeloma within a decade.

Multiple myeloma (MM), long viewed as incurable, is entering a transformative era marked by deeper r...

Label-Free Raman Spectral Identification of NK and NKT Cells in Immune Heterogeneous Cell Populations.

NK and NKT cells act as major effector subsets across multiple immune heterogeneous cell populations...

Integrative spatial profiling pipeline for determining TME architectures in archival clinical specimens using CmTSA superplex technology.

The tumor microenvironment (TME) comprises diverse cellular components that spatially interact to fo...

A meta learning and task adaptive approach for drug target affinity prediction.

Accurate and robust prediction of drug-target affinity (DTA) plays a critical role in drug discovery...

A lightweight CNN for enhanced non-small cell lung cancer classification using CT scan image.

Lung cancer is a leading cause of cancer-related mortality worldwide, and its early and accurate det...

Diagnostic, predictive, and therapeutic approaches for impacted canines: a systematic review and meta-analysis.

OBJECTIVE: Maxillary canine impaction affects approximately 1-3% of the population and presents diag...

Leveraging proteomics and machine learning for mechanism and biomarker discovery on glioma progression and transformation: from LGG to GBM.

BACKGROUND: Glioma was the most common malignant tumor of the central nervous system in adults. Low-...

Automatic segmentation of clinical target volume for radiation therapy in breast-conserving patients and exploration of clinical factors influential to its performance.

OBJECTIVES: To develop and validate a deep learning model for whole breast clinical target volume (C...

Intratumoral and peritumoral radiomics-based machine learning models for the postoperative survival prediction in esophageal squamous cell carcinoma.

OBJECTIVES: This study aimed to develop and validate machine learning (ML) models to predict surviva...

Deep learning with limited data: a transfer learning approach for transcriptomic survival prediction.

BACKGROUND: Deep neural networks (DNNs) are promising for analyzing high-dimensional transcriptomic ...

Radiomics-Based machine learning for preoperative prediction of Large-Number central lymph node metastasis in papillary thyroid carcinoma.

Machine learning-based prognostic prediction for cutaneous malignant melanoma patient survival.

BACKGROUND: Cutaneous malignant melanoma (CMM) is a highly malignant tumor that necessitates early d...