Dermatology

Automated classification of site-specific cutaneous photodamage using a convolutional neural network and three-dimensional total body photography.

BACKGROUND: Early detection of melanoma presents a major public health challenge. Growing evidence s...

Inflammatory protein profiling in immune cells identifies molecular signatures for enhanced diagnostic precision in psoriatic arthritis.

Psoriatic arthritis (PsA) lacks reliable biomarkers to support early diagnosis and disease stratific...

Operationalising One Health for epidermal parasitic skin diseases: threshold-triggered mass drug administration and a minimal indicator set.

Epidermal parasitic skin diseases (EPSDs)-including scabies, pediculosis, cutaneous leishmaniasis, t...

Circulating MicroRNA Signatures in Severe Alopecia Areata: Diagnostic Discrimination, Pathway Analysis, and Therapeutic Implications.

INTRODUCTION: Alopecia areata (AA) is an autoimmune disorder characterized by non-scarring hair loss...

Spatial lipidomics-based melanoma diagnostics by integration of mass spectrometry imaging and machine learning.

Melanoma is an aggressive skin cancer with a rising global incidence, yet its lipidomic alterations ...

mRNA-based cancer vaccines: A new frontier in personalized immunotherapy.

The advancement of mRNA technology has rejuvenated the cancer treatment immunotherapy field by provi...

Independent evaluation of deep learning models for detecting focal cortical dysplasia.

The purpose of this study is to perform an independent assessment of three state-of-the-art tools fo...

Thymic health and immunotherapy outcomes in patients with cancer.

Although immunotherapy has revolutionized cancer treatment, many patients still experience limited b...

Characterizing mating behaviour in broiler breeders via a vision based deep learning model.

Broiler breeder mating behaviour consists of rapidly performed sub-actions that determine the succes...

AI-enhanced precision: boosting pathologist confidence in HER2 ultra-low diagnosis through intelligent re-screening.

Accurate assessment of Human Epidermal Growth Factor Receptor 2 (HER2) immunohistochemistry (IHC) ex...

A lightweight deep learning framework for reliable microscopy-based diagnosis of cutaneous leishmaniasis.

Cutaneous leishmaniasis (CL) is a neglected tropical and zoonotic disease affecting both human and a...

Twisted Tapestry of Tumors: Updates in Molecular Pathology of Breast Tumors.

This article explores the expanding role of molecular diagnostics in breast pathology. It emphasizes...

Identified BIRC5 and HDAC1 as novel diagnostic biomarkers linked to centrosome-immune crosstalk for cutaneous squamous cell carcinoma via machine learning-based multi-omics analysis.

Generating synthetic CEM from low-energy images using deep learning: A future without contrast media? A proof-of-concept study.

OBJECTIVE: We used deep learning to generate synthetic, resembling in appearance, iodine-enhanced, m...

A critical review of technical progress, clinical heterogeneity, and implementation challenges of artificial intelligence in digestive endoscopy.

INTRODUCTION: Digestive endoscopy is a critical modality for diagnosing and managing gastrointestina...

Deep learning synthesis of virtual T2-weighted fat-suppressed MR images: a multi-center study.

OBJECTIVES: To develop a Generative Adversarial Network (GAN) for generating virtual T2 fat-suppress...

Study of bladder cancer detection in standard white light versus AI-supported endoscopy-01 (RAISE-01) - Development and validation of an AI-based support tool.

BACKGROUND: Diagnosis and surveillance of bladder cancer rely on white-light cystoscopy (WLC). Howev...

The promise of biomarkers in Psoriatic Arthritis: Moving towards precision medicine.

Psoriatic arthritis is a heterogeneous disease where delayed diagnosis and variable treatment respon...

Assessing the robustness of AI lesion risk scores at different exposure settings using an anthropomorphic breast phantom.

To assess the robustness of risk scores provided by an artificial intelligence (AI) system for digit...

Loop of N2-polarized neutrophils and exhausted CD8 + T cells induces immunotherapy resistance in NSCLC.

While neutrophils represent a prominent myeloid component in non-small cell lung cancer (NSCLC), the...

Identification of mitochondrial dynamics-related biomarkers in psoriasis using bioinformatics and Mendelian randomization.

Mitochondrial dynamics (MD) are crucial in various inflammatory disorders, yet the specific mechanis...