Oncology/Hematology

Metabolic profiles in laryngeal cancer defined two distinct molecular subtypes with divergent prognoses.

BACKGROUND: Laryngeal cancer (LCA) is the second most common type of head and neck malignancy, chara...

Single-cell and bulk transcriptome analyses reveal elevated amino acid metabolism promoting tumor-directed immune evasion in colorectal cancer.

INTRODUCTION: Colorectal cancer (CRC), the third most common cancer worldwide, often shows limited r...

Multi-omics and single-cell approaches reveal molecular subtypes and key cell interactions in hepatocellular carcinoma.

INTRODUCTION: Hepatocellular carcinoma is a highly aggressive and heterogeneous malignancy with limi...

Development of Explainable Machine Learning Models to Identify Patients at Risk for 1-Year Mortality and New Distant Metastases Postendoprosthetic Reconstruction for Lower Extremity Bone Tumors: A Secondary Analysis of the PARITY Trial.

BACKGROUND: Accurate prediction of postoperative metastasis and mortality risks in patients undergoi...

Immunopeptidomics-guided discovery and characterization of neoantigens for personalized cancer immunotherapy.

Neoantigens have emerged as ideal targets for personalized cancer immunotherapy. We depict the pan-c...

ImmunoStruct: a multimodal neural network framework for immunogenicity prediction from peptide-MHC sequence, structure, and biochemical properties.

Epitope-based vaccines are promising therapeutic modalities for infectious diseases and cancer, but ...

Towards automating risk stratification of intraductal papillary mucinous Neoplasms: Artificial intelligence advances beyond human expertise with confocal laser endomicroscopy.

BACKGROUND AND AIMS: Endoscopic Ultrasound (EUS)-guided needle-based confocal laser endomicroscopy (...

Radiomics and AI-Based Prediction of MGMT Methylation Status in Glioblastoma Using Multiparametric MRI: A Hybrid Feature Weighting Approach.

: Glioblastoma (GBM) is a highly aggressive primary central nervous system tumor with a median survi...

The Desmoid Dilemma: Challenges and Opportunities in Assessing Tumor Burden and Therapeutic Response.

Desmoid tumors are rare, locally invasive soft-tissue tumors with unpredictable clinical behavior. I...

BrainView: A Cloud-based Deep Learning System for Brain Image Segmentation, Tumor Detection and Visualization.

A brain tumor is an abnormal growth in the brain that disrupts its functionality and poses a signifi...

Corrigendum to "Ultrasound-Based Deep Learning Radiomics Nomogram for Tumor and Axillary Lymph Node Status Prediction After Neoadjuvant Chemotherapy" [Academic Radiology 32 (2025) 12-23].

Establishment of a prognostic model based on ER stress-related cell death genes and proposing a novel combination therapy in acute myeloid leukemia.

BACKGROUND: Acute myeloid leukemia (AML) is a highly heterogeneous malignancy, presenting significan...

Synthesizing [F]PSMA-1007 PET bone images from CT images with GAN for early detection of prostate cancer bone metastases: a pilot validation study.

BACKGROUND: [F]FDG PET/CT scan combined with [F]PSMA-1007 PET/CT scan is commonly conducted for dete...

Arginine methylation patterns in LUAD: defining prognostic subtypes and relevance to immunotherapy.

BACKGROUND: Lung cancer remains the leading cause of cancer-related death worldwide, with lung adeno...

Deciphering the history of ERK activity from fixed-cell immunofluorescence measurements.

The RAS/ERK pathway plays a central role in diagnosis and therapy for many cancers. ERK activity is ...

Lung MRI: Indications, Capabilities, and Techniques- Expert Panel Narrative Review.

Lung MRI provides both structural and functional information across a spectrum of parenchymal and ai...

DeepCCDS: Interpretable Deep Learning Framework for Predicting Cancer Cell Drug Sensitivity through Characterizing Cancer Driver Signals.

Accurate characterization of cellular states is the foundation for precise prediction of drug sensit...

Metabolic reprogramming and immune microenvironment profiling in clear cell renal cell carcinoma: implications for prognosis, targeted therapy, and drug resistance.

Clear cell renal cell carcinoma (ccRCC) is the most prevalent form of kidney cancer, distinguished b...

Computational analysis of DEHP's oncogenic role in colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) remains a leading cause of cancer-related mortality globally, wi...

An Ultrasound Image-Based Deep Learning Radiomics Nomogram for Differentiating Between Benign and Malignant Indeterminate Cytology (Bethesda III) Thyroid Nodules: A Retrospective Study.

RATIONALE AND OBJECTIVES: Our objective is to develop and validate a deep learning radiomics nomogra...

Exploring the exportin-1 inhibitors for COVID-19 and anticancer treatment.

Nuclear export protein 1, also known as XPO1, plays a crucial role in cellular homeostasis and assis...