Pathology

Electric Field-Guided Biomimetic Mineralization of Enamel via Interfacial Engineering of Nanostructured HAp/PDA Coatings with Anisotropy and Enhanced Hardness.

Human enamel is a hierarchically organized hydroxyapatite biomineral, but it lacks regenerative capacity, motivating interfacial engineering strategies that control mineral growth at the enamel surface. This work examines an electric-field-assisted biomimetic mineralization approach that forms organized organo-mineral coatings composed of nanocrystalline carbonate-substituted hydroxyapatite (ncHAp...

Association between visceral adipose tissue measured by deep neural network architecture and chronic kidney disease.

The relationship between abdominal body composition and chronic kidney disease (CKD) is well-documented. In this study, we aimed to investigate the association between CKD and abdominal fat volume assessed using deep neural network architecture. This study used the health check-up data of 14,105 patients with available computed tomography (CT) images of the abdomen in a Korean population. The volu...

Magnification-independent breast cancer diagnosis using a GWO-enhanced vision transformer with multi-stage stain normalization.

Breast cancer diagnosis from histopathological images remains a critical yet challenging task due to staining variability, magnification differences, ...

Prosta-omics: machine learning-driven TPSA prediction and molecular modeling of ASPM-inhibitors for prostate cancer treatment.

Prostate cancer exhibits complex transcriptional heterogeneity that underlies disease progression and therapeutic resistance. We developed an integrat...

Performance of deep learning-based segmentation of soft tissue sarcoma by MRI sequence, tumor type and location.

OBJECTIVE: Soft tissue sarcomas (STS) are a rare and heterogeneous group of tumors that pose a significant challenge for surgical planning. This study...

MAAR-Net: Multi-scale attention-assisted residual neural network for renal microvascular structure segmentation.

Renal disease represents a significant public health concern, with renal microvascular lesions playing a crucial role in disease progression. Accurate...

Precise estimation of tissue microstructure with hybrid graph transformer.

The accurate estimation of tissue microstructure requires a sufficient amount of Diffusion MRI (DMRI) data, however, the clinical acquisition of this ...

Neoadjuvant Systemic Therapy in Kidney and Bladder Cancer: Current Evidence and Emerging Paradigms.

Neoadjuvant systemic therapy has emerged as a strategy to improve outcomes in high-risk localized genitourinary malignancies. In bladder cancer, neoad...

Integrating machine learning of bulk and single cell RNA data to characterize immune mechanism of m6A related mitophagy genes in malignant gastric cancer.

BACKGROUND AND OBJECTIVE: Gastric cancer is a heterogeneous and complicated epithelial cancers. Chronic H. pylori and EBV infection, as well as intest...

Deep Learning-Driven Transmission Electron Microscopy Analysis of Murine Optic Nerve Myelinated Axons.

OBJECTIVE: To develop and validate a deep learning-based method for automated quantification of retinal ganglion cell axons in transmission electron m...

Proteomic profile of CSF obtained at the time of diagnosis determines amyotrophic lateral sclerosis progression and survival: CXCL7 levels in disease prognosis and survival.

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease primarily affecting motor neurons. Neurofilament light chain (NfL) is the mos...

Natural language processing of biomedical text to map and prioritize protein-disease associations in HFpEF.

The validation of promising clinical biomarkers, molecular mechanisms, and novel drug targets in cardiovascular disease (CVD) is hindered by a vast an...

Minimum Clinically Achievable Dose for Detecting Liver Lesions Using Deep Learning Image Reconstruction: A Phantom and Patient Study.

RATIONALE AND OBJECTIVES: To investigate the performance of deep learning image reconstruction (DLIR) at an ultra-low dose of approximately 4.5 mGy fo...

A Multiomic Liquid Biopsy for the Earlier Detection of Colorectal Cancer.

UNLABELLED: Timely diagnosis and intervention in colorectal cancer are critical to improving patient outcomes and limiting disease progression. Screen...

Beyond BMI: Deep Learning Segmentation-Driven CT Reveals Body Composition Changes After Metabolic and Bariatric Surgery.

BACKGROUND: Body mass index (BMI) is the primary metric used to evaluate metabolic and bariatric surgery (MBS) outcomes but does not distinguish tissu...

Deep learning ensemble models for CT-based differentiation of malignant and benign sacral bone tumors: development and evaluation.

OBJECTIVE: Radiologists often face challenges in differentiating benign from malignant sacral bone lesions due to their similar imaging characteristic...

Integrated CTC Enrichment and Dual-Responsive Nanoprobe Identification Enable Intelligent Liquid Biopsy-Based Cancer Diagnosis.

This work addresses the challenge of accurately identifying living circulating tumor cell (CTC) from contaminating leukocytes by developing a novel, f...

Highly Efficient Zinc-Based Metal-Organic Framework for Adsorptive Removal of Congo Red: Experimental Investigation and AI-Driven Validation.

Mitigating hazardous environmental hazards, such as organic dyes present in water, remains a pressing challenge. In this study, a highly efficient zin...

A high density of T-cell lymphocytes and Tregs subset correlate to a worse survival in major salivary gland carcinomas.

Salivary gland carcinomas (SGC) are rare and heterogeneous tumors with limited therapeutic options in advanced stages. Recent evidence suggests a pote...

Clinical value of ultra-low-dose chest CT with deep learning image reconstruction in the detection and characterization of pulmonary nodules.

OBJECTIVE: To evaluate the clinical value of ultra-low-dose CT (ULDCT) with deep learning image reconstruction (DLIR) in the diagnosis of pulmonary no...