A comprehensive review published in Skin outlines the emergence of “Dermatology AI 2.0”, a fundamental transition from pattern recognition to cognitive and actionable intelligence. Built on four core pillars—causal inference, skin digital twins, predictive intervention, and distributed autonomous networks—this new paradigm enables AI to diagnose rare diseases 30% more accurately, predict disease flares with >90% accuracy, and deliver full-lifecycle skin health management. The review emphasizes that AI will not replace clinicians but will automate routine tasks, allowing physicians to focus on complex cases and patient care.

This study establishes a comprehensive three-level data standardization framework for integrating Western medicine (WM) and traditional Chinese medicine (TCM) electronic medical records in psoriasis research. It resolves the “data-rich, information-poor” paradox in dermatology and enables real-world evidence generation and AI-assisted clinical decision support for integrated therapies.

This review proposes a new generation of biodegradable, tissue-based carriers made from chitin nanofibrils and nanolignin. These carriers improve the stability, skin penetration, and controlled release of key anti-aging ingredients while eliminating the need for single-use plastics, addressing both clinical performance and environmental sustainability in the cosmetics industry.

New 2026 Chinese guidelines introduce a groundbreaking multidimensional severity assessment for alopecia areata (AA) that moves beyond simple scalp involvement. Covering 3.49 million Chinese patients, the guidelines integrate psychosocial impact and extra-scalp features to guide personalized care, establishing JAK inhibitors as first-line systemic therapy for severe cases and addressing long-unmet clinical needs.

This study optimizes immunohistochemical protocols for four key neurodegenerative markers—p‑Tau, β‑amyloid, α‑synuclein, and p‑TDP43—on post‑mortem human brain tissue. By systematically adjusting antigen retrieval conditions (buffer pH, heating time, formic acid pretreatment), the optimized protocols achieve staining quality comparable to the global leader Netherlands Brain Bank, providing a unified standard for reliable neuropathological diagnosis across China’s brain banking network.

The altered presence of tiny fragments of neuronal genes, called microexons, causes hyperarousal in zebrafish. This is the main conclusion of an international study led by the Pompeu Fabra University (UPF) and the Centre for Genomic Regulation (CRG). An abnormal pattern of neural microexon presence leads to a hyperarousal state characterized by heightened neural activity and insomnia, commonly associated with stress but also in neurodevelopmental disorders. Arousal regulation is highly conserved in evolution. Therefore, this finding could help understand the mechanism underlying some human neurodevelopmental disorders, such as autism and schizophrenia, conditions associated with microexon mutations.