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.
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300-330 / 1000+ results research Progress in Research and Prospects for Application of Precision Gene-Editing Technology Based on CRISPR–Cas9 in the Genetic Improvement of Sheep and Goats
CRISPR/Cas9 gene-editing shows promise for improving sheep and goat breeding but faces challenges with efficiency and accuracy.
research Refractory dissecting cellulitis of the scalp treated with risankizumab: 2 case reports
Risankizumab may help manage symptoms of dissecting cellulitis of the scalp.
research High resolution full scan liquid chromatography mass spectrometry comprehensive screening in sports antidoping urine analysis
The method effectively detects banned substances in urine for sports antidoping.
research Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-based Cohort
The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
research DrugNet: Network-based drug–disease prioritization by integrating heterogeneous data
DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
research Inhibition of 5α-reductase in the nucleus accumbens counters sensorimotor gating deficits induced by dopaminergic activation
Finasteride may help improve certain brain function issues linked to dopamine.
research 712 Using scanning electron microscopy to elucidate the role of hair shaft malformation in the pathogenesis of Central Centrifugal Cicatricial Alopecia
Hair shaft malformation contributes to Central Centrifugal Cicatricial Alopecia.
research Central Centrifugal Cicatricial Alopecia (CCCA): Unraveling the Complexities of a Scarring Hair Disorder
CCCA is a scarring hair disorder mainly affecting people of African descent, needing better awareness and treatment.
research Retraction of “Crystallization Engineering in Aza-Steroid: Application in the Development of Finasteride”
Authors retracted paper due to errors in data and mislabeling.
research In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
research Central centrifugal cicatricial alopecia: A call for additional literature in the pediatric population
More research is needed on CCCA in children, especially Black and Asian adolescents.
research Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images
Deep learning can improve non-invasive alopecia diagnosis using hair images.
research DYS459, DYS391, DYS388 and DYS19 genetic loci have high allelic frequency in patients with prostate cancer
Certain genetic markers may increase or decrease prostate cancer risk.
research RETRACTED: Is photoshop with Qualitative Image Analysis a valid technique for measuring hair morphology? A test using wires of known dimensions
QIA-64 software can measure straight wire lengths accurately but needs improvement for curved wires and width measurements.
research Artificial intelligence in trichology - usage and prospects
AI can improve hair care but needs legal clarity and is not widely used in Poland yet.
research Chromatographic Method for Simultaneous Quantification of Gemcitabine and Olaparib Recovered from Isolated Pancreatic Tissue
A reliable method was developed to measure gemcitabine and olaparib in pancreatic tissue, aiding pancreatic cancer treatment.
research An evaluation of the RapidHIT™ ID system for hair roots stained with Diamond™ Nucleic Acid Dye
The RapidHIT ID system can effectively get DNA profiles from hair roots with enough cells.
research High-performance liquid chromatography–diode array and electrospray-mass spectrometry analysis of non-allowed substances in cosmetic products for preventing hair loss and other hormone-dependent skin diseases
The method effectively identifies banned substances in hair loss and skin disease cosmetics.
research 396 A novel investigator global assessment score for the evaluation of keratosis pilaris
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research Loss of Dicer in Newborn Melanocytes Leads to Premature Hair Graying and Changes in Integrin Expression
Removing Dicer from pigment cells in newborn mice causes early hair graying and changes in cell migration molecules.
research The diagnosis of polycystic ovary syndrome: the criteria are insufficiently robust for clinical research
The current methods for diagnosing polycystic ovary syndrome are too vague and may lead to misdiagnosis and problems in research.
research Cronkhite-Canada Syndrome: A Case Report and Literature Review of Gastrointestinal Polyposis Syndrome
Cronkhite-Canada syndrome is a rare condition causing gut polyps, hair loss, skin changes, and nail issues, often with a poor outlook.
research Forensic DNA phenotyping: A promising tool to predict human appearance for forensic purposes
Forensic DNA phenotyping can predict physical traits from DNA but faces challenges in knowledge and ethics.
research Critical study of hair growth analysis with computer-assisted methods
The Trichoscan system was found to be inaccurate for measuring hair growth, needing better software to be useful.
research Clinical Efficacy of a Cosmetic Treatment by Crescina® Human Follicle Stem Cell on Healthy Males with Androgenetic Alopecia
Crescina® lotion helps reduce hair loss and increase hair growth in males with androgenetic alopecia.
research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research Predicting therapeutic drugs for hepatocellular carcinoma based on tissue-specific pathways
Securinine and ajmaline may effectively treat liver cancer, with securinine being less toxic to normal cells.
research FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
The model accurately detects alopecia areata with 84.3% accuracy.
research Exome-wide age-of-onset analysis reveals exonic variants in ERN1, TACR3 and SPPL2C associated with Alzheimer’s disease
Certain genetic variants in ERN1, TACR3, and SPPL2C are linked to when Alzheimer's disease starts.