Pathology

Short-Peptide Biomaterials for Angiogenesis and Lymphangiogenesis: Advances in Tissue Engineering and Regenerative Medicine.

Vascular and lymphatic vessel regeneration is crucial for tissue repair and organ function restoration. However, conventional biomaterials are often constrained by poor biocompatibility and unpredictable degradation behavior. Engineered short peptides, typically comprising 2-50 amino acids, offer a promising solution for vessel regeneration through direct receptor engagement independent of exogeno...

Bulk and single-cell transcriptome analyses combined with molecular simulations identify ferritinophagy as a key target for resveratrol in osteoarthritis.

The pathophysiology of osteoarthritis (OA), a common degenerative joint disease, is complicated. The significance of autophagy irregularities and iron metabolism issues in OA has garnered a lot of interest in recent years, with "Ferritinophagy" mediated by NCOA4 acting as a crucial link between the two and potentially a novel therapeutic target. The purpose of this research is to determine whether...

Multiphysics learning with graph neural networks for thrombosis prediction in intracranial aneurysms.

Intracranial aneurysms are pathological dilations of cerebral arteries affecting 3-5% of the population. Their rupture can cause subarachnoid hemorrha...

Machine learning classification of normal and malignant cells on the basis of their viscoelastic properties.

BACKGROUND AND OBJECTIVE: Cell mechanics, elasticity and viscoelasticity, are key markers of biological states like cancer. Atomic force microscopy (A...

Deep transfer learning radiomics combined with explainable machine learning for predicting malignancy risk in parotid gland tumors based on ultrasound.

OBJECTIVE: This study aimed to develop and validate an ultrasound (US)-based deep transfer learning radiomics model, integrated with explainable machi...

Whole-body molecular and cellular mapping of the laboratory mouse.

The laboratory mouse is a key model system for biomedical research, yet body-wide measurement tools are lacking. Here, we generate spatiotranscriptomi...

Artificial intelligence-assisted three-dimensional imaging of breast microinvasive carcinoma reveals larger invasive focus size in a substantial proportion of cases.

Microinvasive carcinoma of breast is a unique type of malignancy characterized by the presence of small invasive foci (less than 1 mm in diameter) in ...

Dental Odontogenic Lesion CBCT and Histopathology Integrated Dataset for Benchmarking Deep Learning Algorithms.

Accurate diagnosis of odontogenic lesions requires pre-operative cone-beam computed tomography (CBCT) and post-operative histopathological confirmatio...

PTBD: a machine learning-based non-invasive diagnostic model for pulmonary tuberculosis using large-scale blood transcriptomes.

BACKGROUND: Accurate and rapid diagnosis is essential for controlling pulmonary tuberculosis (PTB) by enabling timely intervention and reducing diseas...

Quantitative pathology and APOE genotype reveal dementia risk and progression in Lewy body disease.

Dementia in Lewy body diseases (LBD) is common and arises through heterogeneous and incompletely understood pathways. Evidence suggests contributions ...

Artificial Intelligence for Colorectal Surgeons - Part I: Foundations, Clinical and Educational Applications.

BACKGROUND: Artificial intelligence (AI) is rapidly transforming colorectal surgery through applications spanning screening to postoperative care. Thi...

Natural Language Processing Methods Automate Molecular Marker Extraction From Glioma Pathology Reports.

BACKGROUND AND OBJECTIVES: Molecular markers such as isocitrate dehydrogenase (IDH) and alpha-thalassemia/mental retardation syndrome X-linked (ATRX) ...

Deep Learning Enables Pixel-Level Nanoparticle Distribution Mapping in Routine Histological Sections by Integrating Cancer Associated Fibroblasts Features.

The efficient accumulation and uniform distribution of nanomedicine within tumors are critical for achieving therapeutic outcomes. However, convention...

Artificial Intelligence and Multiomics Beyond PSA Screening in African and Middle Eastern Prostate Cancer Patients.

Prostate cancer (PCa) remains a major global health burden, with incidence rising as populations age. The molecular, histological, and patient-specifi...

Measuring Accuracy (Classification Probabilities, Positive, and Negative Predictive Values) of Executive Function Electroencephalogram Metrics in Attention-Deficit/Hyperactivity Disorder Diagnosis: Protocol for and Perspectives From the SINCRONIA Study.

BACKGROUND: Attention deficit/hyperactivity disorder (ADHD) is the most prevalent neurodevelopmental disorder worldwide, affecting approximately 5%-7%...

Etiologic diagnosis of seasonal allergic rhinitis supported by artificial intelligence: the @IT-2020 project.

BACKGROUND: A precise etiological diagnosis of seasonal allergic rhinitis (SAR) is essential for a tailored prescription of its only curative treatmen...

Deep learning assisted particle size ranking and estimation from SEM images without explicit segmentation.

In nanomaterial research, accurate determination of particle size and morphology from Scanning Electron Microscopy (SEM) images is a fundamental requi...

Artificial intelligence-assisted FTIR spectroscopy for hormone receptor subtyping in formalin-fixed breast Cancer tissues.

BACKGROUND: Determination of estrogen receptor (ER) and progesterone receptor (PR) status is critical for breast cancer subtyping and guiding endocrin...

GHMS-CycleGAN: Graph-Based Hierarchical Multi-stain CycleGAN for Stain Normalization and Classification in Digital Pathology.

The emergence of digital pathology (DP) has provided numerous computer-aided diagnosis (CAD) opportunities and tools based primarily on deep learning ...

Physics-based simulation of ultrasound propagation from MRI volumes for cross-modal breast imaging.

BACKGROUND: Magnetic resonance imaging (MRI) of breast tissue is often used to definitively diagnose breast cancer due to its high soft-tissue contras...