Dermatology

RRBP1 promotes osimertinib resistance by activating fatty acid oxidation-dependent metabolic and immune reprogramming in EGFR-Mutant lung adenocarcinoma.

Osimertinib is a third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor that improves clinical outcomes in patients with EGFR-mutant lung adenocarcinoma (LUAD); however, acquired resistance remains a major limitation. Increasing evidence suggests that metabolic reprogramming within the tumor microenvironment contributes to drug resistance, whereas the molecular mechanis...

New Frontiers of Skin Ultrasound in Precision Medicine.

Ultrasound has emerged as a versatile, non-invasive imaging technique in dermatology, offering real-time, high-resolution visualization of cutaneous structures. By employing high- and ultra-high-frequency probes, skin ultrasound enables detailed assessment of the epidermis, dermis, and subcutaneous tissue, while Doppler modalities provide complementary information on vascularity. This review synth...

CDSegNet: a multi-scale convolution and attention mechanism U-shaped network for Crohn's disease lesion segmentation.

Accurate segmentation of Crohn's disease (CD) lesions from computed tomography enterography (CTE) cross-sectional images is crucial for diagnosing CD ...

Synergistic Integration of Artificial Merkel Disc and Meissner Corpuscle via Dermal Papillary Structures for Mechanically Filtered Multimodal Tactile Sensing.

Human skin efficiently perceives tactile stimuli through specialized mechanoreceptors strategically arranged around the papillary structure at the epi...

Functional Imaging in Hereditary Endocrine Neoplasms: Evolving Modalities and Clinical Implications.

Hereditary endocrine neoplastic syndromes require structured, lifelong surveillance owing to their multisystem involvement, variable penetrance, and h...

Increased Dendritic Cell Density and Altered Melanin Patterns Distinguish Melanoma from Nevi on CRFF-OCT: A Pilot Study Toward Noninvasive Diagnosis.

Deep Learning for Quantitative Assessment of Suppurative Nevus Comedonicus.

Swin UNETR-based prediction of [68Ga]Ga-FAPI-46 PET/CT dose rate maps in cancer patients: quantitative comparison with [18F]FDG PET/CT.

BACKGROUND: Fibroblast activation protein (FAP) is a promising theranostic target due to its high stroma expression in numerous malignancies. This stu...

Masked autoencoder pretraining for peripheral nerve segmentation in ultrasound images.

Despite recent advances in medical image segmentation, deep learning applications in musculoskeletal ultrasound remain limited by small labeled datase...

Evaluating the quality of artificial intelligence responses to psoriasis-related clinical and patient questions: a comparative study of ChatGPT, Gemini, and Microsoft Copilot.

BACKGROUND: Patient use of artificial intelligence (AI) chatbots for dermatologic information is increasing, but their performance on psoriasis-relate...

Enhanced Diagnosis of Generalized Pustular Psoriasis With the Legit.Health Device as a Diagnosis Support Tool: Multireader Multicase Study.

BACKGROUND: Generalized pustular psoriasis (GPP) is a rare, chronic, systemic inflammatory disease with an unpredictable and heterogeneous clinical co...

Informatics-Based Psychotherapeutic and Psychiatric Interventions in Dermatology: Scoping Review of Impacts on Skin Disease Severity and Mental Health Outcomes.

BACKGROUND: Chronic dermatologic conditions such as psoriasis, atopic dermatitis, and hidradenitis suppurativa are associated with a high burden of ps...

Machine learning-assisted design of carbon nanotube edge computing circuits for monolithic epidermal systems.

The rapid development of multimodal epidermal sensing requires scalable, energy-efficient data processing architectures capable of processing large vo...

Non-invasive characterization of the relationship between skin microrelief and dermal-epidermal junction topography using line-field confocal optical coherence tomography (LC-OCT).

Non-invasive technologies for observing internal skin structures without damaging the surface have advanced in recent years. However, an integrated un...

Machine learning-based prediction of paracetamol solubility and CO₂ density in supercritical systems using artificial rabbits optimization.

The accurate prediction of solubility and solvent properties in supercritical CO₂ systems remains a critical challenge in pharmaceutical process desig...

ALADIN (Acne Lesion And Density INdex): a novel tool for automatic acne severity assessment.

BACKGROUND: Acne affects approximately 80% of adolescents worldwide, regardless of age, sex or ethnicity. Effective treatment depends on timely and ac...

Real-world diagnostic performance of artificial intelligence in skin cancer screening.

BACKGROUND: The use of artificial intelligence (AI) in many aspects of society is expanding rapidly. AI has recently been employed in the National Hea...

SiNuS: A comprehensive dataset for singular nuclei segmentation for HER2 grading of breast cancer.

Singular nuclei are those that are intact and do not overlap with neighboring nuclei. According to the American Society of Clinical Oncology and the C...

Multiclass convolutional neural network vs. 96 dermatologists in skin lesion diagnosis, an international study.

BACKGROUND AND OBJECTIVES: Artificial intelligence was shown to improve diagnostic accuracy for skin cancer detection. While most clinically approved ...

Machine learning-guided drug repurposing for EGFR inhibition using scaffold-split validation, docking, and molecular dynamics.

Aberrant epidermal growth factor receptor (EGFR) signaling drives multiple cancers, but the clinical effectiveness of EGFR inhibitors is limited by re...