Cardiovascular

Development of machine learning and nomogram models to predict lung metastasis and prognosticate survival in breast cancer.

PURPOSE: Lung metastasis in breast cancer (BCLM) is a critical determinant of poor prognosis, occurr...

Cauchy Lotus Optimization-based feature selection and ResNet 101 based XceptionNet architecture for radiation pneumonitis prediction in lung cancer patients.

Thoracic radiotherapy for lung cancer patients followed by radiation pneumonitis (RP) has significan...

Use of Large Language Models to Enhance Failure Mode and Effects Analysis: A Case Study.

PURPOSE: Failure Mode and Effects Analysis (FMEA) is widely used in radiation oncology to proactivel...

A review of clinical trial radiotherapy quality assurance: value, evolution and lessons.

BACKGROUND AND PURPOSE: Deviations in radiotherapy quality can significantly affect clinical trial o...

Ultrasound-MRI Fusion Deep Learning Radiomics Nomogram: Refining Prognostic Stratification for Triple-Negative Breast Cancer Treated With Neoadjuvant Chemotherapy.

[Current status and future perspectives of precision treatment for locally advanced rectal cancer].

The treatment paradigm for locally advanced rectal cancer is undergoing a fundamental transformation...

[Research progress in clinical pathology and molecular mechanisms of pancreatic adenosquamous carcinoma].

Pancreatic adenosquamous carcinoma (PASC) is a rare exocrine malignancy of the pancreas with an incr...

Neural network reveals platelet age from fluorescence microscopy images.

Platelets are small, anucleate cells with a primary physiological role in vascular damage repair (he...

Beyond chemotherapy: The rise of nucleic acid nanoformulations in personalized lung cancer therapy.

Lung cancer remains the leading cause of cancer-related mortality worldwide, driven by complex cross...

Identifying environmental factors associated with tetrodotoxin contamination in bivalve mollusks using eXplainable AI.

Since 2012, tetrodotoxin (TTX) has been found in seafoods such as bivalve mollusks in temperate Euro...

Bridging In Silico Design and Experimental Validation: Virtual Screening and In Vitro Assessment of Biomimetic Anticancer Peptides Inspired by Horseshoe Crab Hemolymph Proteins.

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

Clinically Localized Prostate Cancer: AUA/ASTRO Guideline Amendment (2026).

PURPOSE: Following completion of the 2025 Update Literature Review (ULR), the American Urological As...

Machine Learning-Based Synthetic Computed Tomography Derived From Temporal Bone Magnetic Resonance Imaging.

IMPORTANCE: For diagnostics and presurgical planning in otology, both magnetic resonance imaging (MR...

Deep learning inference of cell type-specific gene expression from breast tumor histopathology.

Cell type-specific gene expression from single-cell RNA sequencing (RNA-seq) is valuable for breast ...

Radiomics-Guided Automatic Delineation for Clinical Target Volume of Endometrial Cancer: Limited Sample Multicenter Study.

PURPOSE: The inconsistent delineation of the clinical target volume (CTV) in postoperative pelvic ra...

X2Shape: CT-free 3D multi-organ reconstruction with biplanar X-rays.

Reconstructing three-dimensional (3D) anatomy from routine X-ray imaging remains a long-standing cha...

Dynamic changes in serum HER2-peptide-specific autoantibodies predict response to neoadjuvant therapy in HER2-positive breast cancer.

DualGPT-AB: a dual-stage generative optimization framework for therapeutic antibody design.

Realizing the therapeutic potential of antibodies requires simultaneously optimizing multiple proper...

Multi-site validation of an AI-based biomarker test for determining ER, PR, and HER2 status from H&E-stained breast cancer slides.

BACKGROUND: The assessment of estrogen/progesterone receptors (ER/PR) and human epidermal growth fac...

Integrative multi-omics analysis identifies PAICS as a key regulator of epithelial-mesenchymal transition in breast cancer metastasis.

BACKGROUND: Breast cancer metastasis remains a major clinical challenge due to its complex molecular...

Transfer Learning and Machine Learning for Training Five-Year Survival Prognostic Models in Early Breast Cancer: Development and Validation Study.

BACKGROUND: Prognostic information is essential for decision-making in breast cancer management. In ...