Pathology

CLWD: a Chinese histopathology dataset for lung adenocarcinoma subtype classification.

Effective diagnosis and treatment of lung adenocarcinoma depends on accurate typing, subtyping, and grading. Herein, we present the CLWD dataset, a valuable resource for the lung cancer pathology community, comprising 408 whole-slide images (WSIs) from 210 patients specifically curated for the study of lung adenocarcinoma subtypes. Scanned at 80 × magnification, it is one of the largest datasets i...

Prediction of Ki-67 expression in invasive breast cancer with dual-modality radiomics.

Ki-67 expression, a critical biomarker for tumor aggressiveness and proliferation in invasive breast cancer, is traditionally assessed via invasive biopsies, which suffer from sampling variability and limit serial monitoring. This study aimed to develop radiomics models using ultrasound (US) and mammography (MG) features to predict Ki-67 expression, hypothesizing that dual-modality integration imp...

Deep learning-based histopathological classification and subclassification of benign and malignant salivary gland tumors.

Application of treatment response assessment maps (TRAMs), based on delayed-contrast MRI for radiomic characterization of breast lesions.

Dynamic contrast-enhanced (DCE) breast MRI is a highly sensitive modality for detecting breast cancer, but its limited specificity often leads to fals...

Artificial intelligence-based pathological model for pan-cancer lymph node metastasis detection: a multicentre diagnostic study with retrospective and prospective validation.

BACKGROUND: Accurate detection of lymph node metastasis is crucial for precise tumour staging and treatment planning. Conventional pathological examin...

Differentiation of Benign and Malignant Cervical Lymph Nodes Using a Multi-Modal Ultrasound-Based Machine Learning Model with SHAP Interpretability.

OBJECTIVES: To evaluate the diagnostic value of a machine learning (ML) model based on multi-modal ultrasound features in differentiating benign from ...

A framework for identifying the polyploid complex in Rorippa (Brassicaceae): combining trait evolution, herbarium records, and machine learning.

BACKGROUND AND AIMS: Species identification in polyploid plants remains challenging due to morphological continuity and genomic redundancy. Such taxon...

Biosensor-based diagnosis for infectious diseases: Nano-enabled revolution.

Infectious diseases (IDs) pose a significant global health threat, exacerbated by the rise of multidrug-resistant (MDR) and antimicrobial-resistant (A...

Reflectance confocal microscopy in the management of lentigo maligna and lentigo maligna melanoma: a systematic review.

BACKGROUND: Lentigo maligna (LM) and lentigo maligna melanoma (LMM) are difficult to manage because of their subclinical extension and ill-defined mar...

Lymphatics-on-a-chip microphysiological system: engineering lymphatic structure and function in vitro.

The lymphatic system-integral to fluid balance, immune surveillance, and lipid absorption-is frequently overlooked despite its vital roles. Traditiona...

Risk factors for postoperative recurrence of sinonasal inverted papilloma: a retrospective analysis of 171 cases.

BACKGROUND: Sinonasal inverted papilloma(SNIP) is a benign tumor with a potential of malignant transformation but has a certain recurrence. OBJECTIVES...

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 strategie...

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 as...

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...