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- AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response
- Large-Scale Epitope Identification Screen and Its Potential Application to the Study of Alopecia Areata
- A review for cell-based screening methods in drug discovery
- High-throughput T cell receptor sequencing identifies clonally expanded CD8+ T cell populations in alopecia areata
- High-throughput Sequencing to Identify Monogenic Etiologies in a Preselected Polycystic Ovary Syndrome Cohort
- Development of 3-D Microbioreactor Systems for Cell-Based High Throughput Screening
- Evaluation of anti-Zika virus activities of broad-spectrum antivirals and NIH clinical collection compounds using a cell-based, high-throughput screen assay
- New substrates for stem cell control
- In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
- Proteomics as a tool to improve novel insights into skin diseases: what we know and where we should be going
- Expression profile analysis of microRNAs during hair follicle development in the sheep foetus
- From bench to babies – drug development for male subfertility
- Virtual Screening for the Discovery of Microbiome β-Glucuronidase Inhibitors to Alleviate Cancer Drug Toxicity
- Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
- Screening for 21-hydroxylase–deficient nonclassic adrenal hyperplasia among hyperandrogenic women: a prospective study
- Predicting Human Appearance from DNA for Forensic Investigations
- Prevalence and Predictors of Premature Graying of Hair Before the Age of 30: A Cross‐Sectional Study in Saudi Arabia
- Polycystic ovary syndrome is associated with atherogenic changes in lipoprotein particle number and size independent of body weight
- Evaluating the Predictors of Persistent Long COVID Symptoms and Their Severity in COVID-19 Survivors 1 Year After Infection
- Development of a Predictive Model for Iron Levels in Bovine Muscle Tissue Using Hair as a Predictor
- Genetic predictors of testosterone and their associations with cardiovascular disease and risk factors: A Mendelian randomization investigation
- Exploring the possibility of predicting human head hair greying from DNA using whole-exome and targeted NGS data
- Prediction of cell states and key transcription factors of the human cornea through integrated single-cell omics analyses
- Ischemic modified albumin as a new biomarker in predicting of oxidative stress in alopecia areata
- Dyslipidaemia in women with polycystic ovary syndrome referred to a teaching hospital in Cape Town, South Africa
- Expression profile of long non-coding RNA in inner Mongolian cashmere goat with putative roles in hair follicles development
- Microfluidic Technology for the Generation of Cell Spheroids and Their Applications
- Performance of an interferon-γ release assay-based test for cell-mediated immunity to SARS-CoV-2
- Correlation between MRI findings of pituitary gland and prolactin level among hyperprolactinemia adult female Saudi patients in rural areas: A retrospective multicentric study
- Identification of SLC40A1, LCN2, CREB5, and SLC7A11 as ferroptosis-related biomarkers in alopecia areata through machine learning