Lung Cancer

Multi-level Transcriptomic and Machine-learning Analyses Identify MZT1 as a Proliferation-associated Prognostic Marker in Lung Adenocarcinoma.

BACKGROUND/AIM: Lung adenocarcinoma (LUAD) exhibits substantial molecular heterogeneity and variable clinical outcomes, highlighting the need for biomarkers that reflect core tumor biological processes. Centrosome-associated proteins regulate mitotic fidelity and genome stability, yet their roles in LUAD remain incompletely defined. In this study, we systematically characterized mitotic spindle or...

Deep Learning Algorithm-Reconstructed Triple-Rule-Out CT: Image Quality and Performance in Evaluating Coronary Lumen Stenosis.

To assess radiation burden and contrast medium load, image quality, and the performance of AI-reader and junior radiologists in evaluating coronary stenosis using 80-kVp triple-rule-out (TRO) CT with deep learning image reconstruction (DLIR), 159 patients scheduled for TRO were prospectively recruited and randomized into group A (n = 80; 80-kVp with DLIR) or group B (n = 79; 100-kVp with adaptive ...

Multi-Omics-Driven Insights into Cancer Biology and Therapeutic Targeting.

The increasing biological complexity and heterogeneity of cancer have driven a shift in oncology drug discovery from single-target approaches toward s...

Feasibility of reducing radiation dose and contrast dose while improving image quality in dual-energy CT pulmonary angiography : Use of low-energy virtual monochromatic images with deep learning image reconstruction algorithm.

BACKGROUND: We explored the feasibility of reducing both radiation and contrast doses while improving image quality using low-energy virtual monochrom...

Integrative single-cell and spatial transcriptomic analysis reveals 4-HNE-related stromal remodeling in lung adenocarcinoma.

BACKGROUND: 4-HNE is a lipid peroxidation product involved in oxidative stress, tumor microenvironment remodeling, and tumor progression. This study a...

DyAb: sequence-based antibody design and property prediction in a low-data regime.

Protein therapeutic design and property prediction are frequently hampered by data scarcity. Here we propose a model, DyAb, that addresses these issue...

Deep learning augmented pathological grading and intraductal carcinoma of the prostate signatures improve recurrence prediction after intensity-modulated radiation therapy.

Locally advanced prostate cancer (PCa) is associated with a high recurrence rate even after curative treatment. We aimed to develop a precise risk mod...

Risks of Major Adverse Kidney Events in Non-Hispanic Black Patients with Diabetes or Hypertension: A real-world cohort study.

INTRODUCTION: Chronic kidney disease (CKD) disproportionately burdens non-Hispanic Black (NHB) patients who experience a three- to four-fold higher ri...

Lactylation-related immune-metabolic dysregulation defines prognostic and therapeutic stratification in lung adenocarcinoma.

BACKGROUND: Lactylation links lactate metabolism with inflammatory signaling and immune regulation in tumors. However, its cellular distribution and t...

Comment on "Artificial intelligence construction: a review of the bridge between CT imaging features of lung ground-glass nodules adenocarcinoma and carcinogenic driver genes".

Xue and Chen et al.'s review connects AI-derived CT features of lung ground-glass nodule adenocarcinoma to driver gene status. Three aspects are missi...

Semi-Supervised Domain Adaptation with Latent Diffusion for Pathology Image Classification.

Deep learning models in computational pathology often fail to generalize across cohorts and institutions due to domain shift. Existing approaches eith...

Deep molecular profiling of lung neuroendocrine tumours and supra-carcinoids.

BACKGROUND: Lung neuroendocrine tumours (NETs, also known as carcinoids) are rapidly rising in incidence worldwide but have unknown aetiology and limi...

Detection of Pancreatic Cancer via Specific Metabolite Markers: A Metabolomics Approach.

BACKGROUND AND AIMS: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies worldwide because most patients are diagnosed...

Quality and reliability of YouTube videos on PET/CT radiation safety: a comparative analysis between human experts and large language models.

PURPOSE: To evaluate the quality and accuracy of YouTube videos regarding PET/CT radiation safety and to assess the feasibility of using a Large Langu...

CT scan range planning in clinical practice: An international survey of scan range extension, quality assurance, and AI integration.

INTRODUCTION: Computed tomography (CT) scan range planning is a modifiable determinant of radiation exposure but remains highly variable in clinical p...

Association between body composition and recurrence in stage II-III colon cancer: a retrospective cohort study.

INTRODUCTION: Colorectal Cancer (CRC) is a common cause of cancer death and prognostic factors are used to determine management. Patients with advance...

Integrated bulk and single-cell transcriptomic analyses identify senescence-related hub genes and microenvironmental remodeling in sarcopenia.

Increasing evidence indicates that cellular senescence, metabolic dysfunction, stromal remodeling, and immune perturbation collectively contribute to ...

Precision Oncology via Radiotherapy-Triggered Drug Delivery: Mechanisms, Molecular Engineering, and Clinical Translation.

Radiotherapy-triggered drug delivery systems (RDDS) promise to integrate the spatial precision of ionizing radiation with controllable pharmacological...

Development and internal validation of an interpretable machine learning model for predicting vancomycin-induced nephrotoxicity in hospitalized children.

INTRODUCTION: Vancomycin is widely used for severe Gram‑positive infections in children, but vancomycin‑induced nephrotoxicity (VIN) limits its safe a...

Integrated Multi-Omics Analysis of Gut Microbiota-Associated Metabolites and Related Host Molecular Signatures in Cervical Squamous Cell Carcinoma.

Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) is a common female malignancy. Gut microbiota and metabolites are critical reg...