research Kalya Research: Complementary and Alternative Medicine (CAM) Virtual Research Assistant from Biomedical Literature
Kalya Research is an AI tool that effectively finds and analyzes alternative medicine literature, saving researchers time.
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30-60 / 1000+ results research PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.
research Genetic Variants and Protective Immunity against SARS-CoV-2
Genetic differences affect how people respond to COVID-19.
research Advancing Design Strategy of PROTACs for Cancer Therapy
PROTACs show promise for cancer treatment, but designing them effectively is challenging.
research Stem cell research and regenerative medicine: meeting report from the Royan International Stem Cell Congress 2025
Stem cell therapies are advancing quickly with new technologies and need supportive regulations for clinical use.
research Regenerative Cosmetics: Skin Tissue Engineering for Anti-Aging, Repair, and Hair Restoration
Regenerative cosmetics can improve skin and hair by reducing wrinkles, healing wounds, and promoting hair growth.
research Hair cluster detection model based on dermoscopic images
The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
research Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
research Amnion bilayer for dressing and graft replacement for delayed grafting of full-thickness burns; A study in a rat model
The amnion bilayer dressing improved healing and reduced scarring in full-thickness burns.
research 199 Computer vision AI-based androgenetic alopecia analysis using a novel mobile web app
The MDhair app accurately assesses hair loss severity with 94% accuracy.
research Cell-Based Model Systems for Validation of Various Efficacy-Based Claims for Cosmetic Ingredients
Cell-based models help test if cosmetic ingredients really work for hair growth and skin health.
research Hair Growth-Promoting Effects of a Multi-Targeted Cosmetic Formulation Containing PYGL, DP2, and 15-PGDH Inhibitors Developed Using AI-Based DeepZema® in Androgenetic Alopecia: A 24-Week Randomized Controlled Trial
The formulation significantly increased hair density and thickness safely in people with androgenetic alopecia.
research Logic-based modeling and drug repurposing for the prediction of novel therapeutic targets and combination regimens against E2F1-driven melanoma progression
Tadalafil and Finasteride may help treat aggressive melanoma.
research Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
research ISID0199 – Computer vision AI-based androgenetic alopecia analysis using a novel mobile web app.
research Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.
research Exosome-Based Therapies for Alopecia Areata: A Systematic Review of Clinical and Experimental Evidence
Exosome-based therapies show promise for treating alopecia areata but need more research.
research A combination therapy for androgenic alopecia based on quercetin and zinc/copper dual-doped mesoporous silica nanocomposite microneedle patch
The microneedle patch with quercetin, zinc, and copper effectively promotes hair regrowth for androgenic alopecia.
research Precision therapeutics in non-scarring alopecia: a systemic genomic and pathway-based framework for targeted interventions
Personalized treatments for hair loss focus on specific genetic and biological pathways.
research Discovering the potential of natural remedies in the post COVID-19 complications based on in silico techniques
Natural compounds, especially Withaferin-A, may help treat post-COVID-19 complications, but some may have side effects.
research Wound Healing Impairment in Type 2 Diabetes Model of Leptin-Deficient Mice—A Mechanistic Systematic Review
Leptin-deficient mice, used as a model for Type 2 Diabetes, have delayed wound healing due to impaired contraction and other dysfunctional cellular responses.
research Symptom Trajectories and Long-Term Sequelae of COVID-19: A Matched Case–Control Study with Population-Based Controls
COVID-19 can cause long-lasting non-respiratory symptoms, especially in women.
research Exosome Revolution or Marketing Mirage? AI-Based Multi-domain Evaluation of Claims, Scientific Evidence, Transparency, Public Sentiment, and Media Narratives
research What does acne genetics teach us about disease pathogenesis?
Acne is significantly influenced by genetics, and understanding its genetic basis could lead to better, targeted treatments.
research Research Progress on Fractional CO2 Laser in Multimodal Therapy
Fractional CO2 laser therapy effectively improves skin conditions and recovery when combined with other treatments.
research The role of 3Rs in the age of One Health: where we are and where we’re going
Innovative methods are reducing animal testing and improving biomedical research.
research Advancing Aesthetic Medicine Through Exosome-Based Regenerative Therapies with Dr. Face Innovations: Molecular Mechanisms, Nanotechnology Integration, and Data-Driven Insights
Exosome therapies improve skin, hair, and healing but face challenges like cost and regulation.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
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 Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices
The AI tool helped primary care doctors and nurse practitioners diagnose skin conditions more accurately.