research MEGA PROTAC, MEGA DOCK-based PROTAC mediated ternary complex formation pipeline with sequential filtering and rank aggregation
MEGA PROTAC improves prediction and ranking of protein complexes better than existing methods.
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research Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
The model can effectively help diagnose meibomian gland dysfunction automatically.
research Relative efficacy of minoxidil in combination with other treatments for androgenic alopecia: a network meta-analysis based on randomized controlled trials
Combining minoxidil with other treatments is more effective for hair growth than using minoxidil alone.
research Signal Mining for Non-Bleeding Adverse Event in Novel Oral Anticoagulants: A Pharmacovigilance Study Based on the FAERS Database
Different oral anticoagulants cause various non-bleeding side effects, so careful monitoring is needed.
research PLATELET-RICH PLASMA AND PLATELET FIBRIN: STANDARDIZED PREPARATION PROTOCOLS, MECHANISMS OF ACTIVATION, STORAGE STABILITY, AND REGULATORY FRAMEWORKS
Standardized protocols are crucial for effective use of platelet-rich plasma and fibrin in tissue regeneration.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research Medical Physics in Aesthetic Medicine: Innovations and Techniques for Cosmetic Procedures in 2025
Aesthetic medicine is rapidly advancing with new technologies for safer, personalized, and less invasive treatments.
research Collagen supplementation and regenerative health: advances in biomarker detection and smart material integration
Collagen supplements may improve skin, joints, and recovery, especially with added nutrients.
research Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
research Materials, Syntheses and Biomedical Applications of Nano-Quercetin Formulations: A Comprehensive Literature Review
Nano-quercetin improves quercetin's effectiveness in treating diseases but faces challenges in safety and production.
research Use of genetics in the prediction of success in male pattern hair loss therapy and mechanistic studies
Genetics can help tailor treatments for male pattern hair loss, improving outcomes like stabilization or modest regrowth.
research Botanical drug preparations for alleviating hair loss in menopausal women: a global ethnopharmacological mini-review
Botanical treatments like saw palmetto, rosemary oil, and ginseng may help reduce hair loss in menopausal women.
research Pharmacological and Biological Efficacy of Chitosan-Based Materials
Chitosan-based materials are promising for treating diseases and healing wounds due to their beneficial properties.
research PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
PandaOmics uses AI to find new disease treatment targets and biomarkers.
research Alopecia Associated to the Use of Disease-Modifying Therapies for Multiple Sclerosis: A Scoping Review Protocol
Some treatments for multiple sclerosis can cause hair loss.
research GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
The new method predicts post-hair transplant images more accurately than other methods.
research Delicious Dermatology: Baked-Up Eponyms
Using baked goods as visual aids helps people understand skin conditions better.
research Microneedle-Based Technologies for Long-Acting Transdermal Drug Delivery in Wearable Devices
Microneedles in wearables can deliver drugs over time but face challenges in manufacturing and safety.
research Peptide-Based Approaches for Pain Relief and Healing in Wounds
Topical peptides may offer safer, effective pain relief and healing for wounds.
research Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation
The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.
research Optimizing Skin Quality via AI-Enhanced Physical Activity
AI can personalize exercise to improve skin health.
research Modulating metal-organic frameworks by surface engineering of stearic acid modification for follicular drug delivery and enhanced hair growth promotion
Modified frameworks with stearic acid enhance drug delivery and promote hair growth.
research Biomaterial-based mechanical regulation facilitates scarless wound healing with functional skin appendage regeneration
Biomaterials can help heal wounds without scars and regenerate skin features.
research AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
research Nanotechnology-Based Strategies for Hair Regeneration: Mechanistic Insights and Translational Perspectives for Androgenetic Alopecia
Nanotechnology offers promising new treatments for hair loss by improving targeted delivery and addressing key causes.
research Case Report: Compound heterozygous variants in LSS and TSPEAR genes causing hypotrichosis type 14 complicated with ectodermal dysplasia type 14
A child has a rare hair and skin disorder due to specific gene variants, suggesting broader genetic testing is needed.
research A State-of-the-Art Overview on (Epi)Genomics and Personalized Skin Rejuvenating Strategies
Personalized skin rejuvenation using genomics shows promise but needs more research.
research ARTIFICIAL INTELLIGENCE TECHNIQUES IN PREDICTION OF COVID-19 MORTALITY AND ITS RELATED FACTORS: A MULTI-CENTER STUDY
AI can effectively predict COVID-19 mortality risk using patient data.
research NEW CHALLENGE TO CANCER AND LONGEVITY
A group has developed therapies that show promise for treating cancer and various other conditions.
research KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.