Pathology

Radiomics for predicting microsatellite instability-high status in colorectal cancer: a systematic review and meta-analysis.

OBJECTIVE: Microsatellite instability (MSI) has emerged as a key predictive biomarker for chemothera...

Deep Learning for Survival Prediction in Glioblastoma: Time-dependent Model Interpretability Using MRI, Clinical, and Molecular Data.

Purpose To develop a multimodal model for survival prediction and time-dependent model interpretabil...

[Artificial intelligence-assisted diagnostics in the pathology of internal and oncological diseases].

BACKGROUND: Artificial intelligence (AI) is increasingly being implemented in digital pathology to s...

Multimodal AI approach combining deep learning imaging and clinical machine learning for pancreatic cancer detection.

Pancreatic ductal adenocarcinoma (PDAC) has poor prognosis due to late diagnosis, limitations of com...

Rapid Noninvasive Classification of Prostatic Disease Using Paper Spray Ionization Mass Spectrometry (PSI-MS)-Based Nontargeted Metabolomics.

Paper spray ionization mass spectrometry (PSI-MS)-based nontargeted metabolomics was employed to rap...

Multimodal data analysis reveals asynchronous aging dynamics across female reproductive organs.

Female reproductive aging has systemic health implications, yet tissue-level dynamics remain poorly ...

Patient-Specific Constitutive Models Based on Biaxial and Microstructural Characterisation of Fresh Human Gastric Tissue.

PURPOSE: As obesity has reached pandemic proportions worldwide, improving technical solutions for it...

Pleiotropy and disease interactors: the dual nature of genes linking ageing and ageing-related diseases.

Ageing-related diseases (ARDs) display diverse phenotypes yet share an age-dependent rise in inciden...

The Role of Molecular Testing in Head and Neck Squamous Cell Carcinoma of Unknown Primary.

Squamous cell carcinomas of unknown primary (SCCUP), accounting for approximately 5% of head and nec...

Quantifying the Heterogeneity of TRUS-Visible Lesions for Predicting Prostate Cancer: A Multicenter Preliminary Study.

RATIONALE AND OBJECTIVES: This study aimed to quantitatively characterize the heterogeneity of Trans...

Quantitative whole-body measurement of inflammothrombotic immunologic response disease using Fleming method for tissue and vascular differentiation and metabolism.

BACKGROUND: Precision theranostics in nuclear medicine requires reproducible, calibrated quantificat...

Volumetric phase-specific three-dimensional radiomics and machine learning for differentiation of non-mass enhancement in breast magnetic resonance imaging.

PURPOSE: Non-mass enhancement (NME) in breast magnetic resonance imaging (MRI) is a diagnostically c...

Glioblastoma region-specific metabolic signatures reflect patient survival duration.

PURPOSE: Spatial metabolic differences found in glioblastoma (GBM) tumor core (contrast enhancing) a...

DiffBulk: Enhancing Spatial Transcriptomic Prediction with Diffusion-Based Training.

Spatial Transcriptomics (ST) technology detects gene expression from tissue biopsies, playing an eme...

[Current status of artificial intelligence applications in cervical cancer screening: a systematic review].

Objective: To systematically summarize and evaluate the current application status and research prog...

Stacked CT radiomics, deep learning and clinical feature models for differentiating benign and malignant solitary pulmonary nodules.

Counterfactual Reasoning for Mammogram Classification via Semantic Texture Masking.

Artificial intelligence-based computer-aided diagnosis (CADx) systems have seen growing adoption in ...

Single-molecule localization and diffusivity microscopy reveals dynamic biomolecular organization in living cells.

Single-molecule tracking in living cells measures protein diffusivity but requires sparse imaging, l...

Enhanced Lymphoma Subtype Classification and Prognosis Using Machine Learning with 18F-FDG PET/CT Radiomics: Beyond SUVmax.

BACKGROUND: This study explored a machine learning approach using 18F-FDG PET/CT as a non-invasive a...

Differentiation of benign and malignant parotid gland tumors using T2-weighted MRI-based radiomics: the role of feature selection and dimensionality reduction.

OBJECTIVE: To identify the optimal machine learning strategy, including feature selection and dimens...

Advancements and challenges in bloodstain pattern analysis: Addressing limitations for enhanced forensic reliability.

Bloodstain Pattern Analysis (BPA) is a technique used in forensic investigations to recreate violent...