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- Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
- An open-access data set of pig skin anatomy and physiology for modelling purposes
- rwSALT: a regrowth-weighted SALT score providing direct pixel-level measurement rather than visual estimation
- Detecting shortcut learning for fair medical AI using shortcut testing
- rwSALT: a regrowth-weighted SALT score providing direct pixel-level measurement rather than visual estimation
- Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset
- The pharmacovigilance analysis of adverse events of erlotinib based on the open access FAERS database
- Weakly supervised learning of biomedical information extraction from curated data
- Open-label placebos reduce hair cortisol concentrations and psychological distress - a randomized controlled trial
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- Spontaneous cutaneous adverse drug reaction reports—An analysis of a 10‐year dataset in Singapore
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
- A 6-Month Prospective, Open-Label, Randomized Study Showing Increased Hair Growth Rate in Women Using Multi-Targeting Hair Growth Nutraceuticals
- A Phase 3, Open-Label, Single-Arm Trial of the Efficacy and Safety of Triptorelin 6-Month Formulation in Chinese Children with Central Precocious Puberty
- In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
- Developing recommendations for promoting wellbeing in individuals with alopecia areata: a modified Delphi study
- Single-cell chromatin landscapes of mouse skin development
- Multidimensional assessment of adverse events of finasteride：a real-world pharmacovigilance analysis based on FDA Adverse Event Reporting System (FAERS) from 2004 to April 2024
- Differential proteomics of lesional vs. non-lesional biopsies revealed non-immune mechanisms of alopecia areata
- scMC learns biological variation through the alignment of multiple single-cell genomics datasets
- Exploring the possibility of predicting human head hair greying from DNA using whole-exome and targeted NGS data
- The Genus Astragalus Species as an Emerging Source of Bioactive Phytochemicals: A Review of Dermatological and Cosmetic Applications
- Aspect-Level Drug Reviews Sentiment Analysis Based on Double BiGRU and Knowledge Transfer
- MICRO-URZĄDZENIA, BEZPRZEWODOWE KAPSUŁKI, MAPY, STYMULATORY I ROZRUSZNIKI STOSOWANE DO DIAGNOSTYKI I LECZENIA ZABURZEŃ MOTORYKI PRZEWODU POKARMOWEGO
- Radiotherapy-Induced Skin Fibrosis: Pathophysiology, Emerging Therapeutics, and the Role of Dermatology
- Neuropsychiatric Adverse Events of Montelukast: An Analysis of Real-World Datasets and drug−gene Interaction Network
- LINCS Dataset-Based Repositioning of Dutasteride as an Anti-Neuroinflammation Agent
- Genetic prediction of male pattern baldness
- Performance exploration of multi-gene panels of alopecia areata susceptibility and drug-binding targets
- Efficacy and safety of proxalutamide (GT0918) in severe or critically ill patients with COVID-19: study protocol for a prospective, open-label, single-arm, single-center exploratory trial