research A NEW GENERATION OF MARKERS FOR CANCER DETECTION AND DRUG TRANSPORT
New markers can detect tumors, aid drug delivery, and treat cancer effectively and safely.
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research Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
research Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
The new method improves skin cancer detection in imbalanced datasets.
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 Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research Computational design and development of a novel voltammetric sensor for minoxidil detection based on electropolymerized molecularly imprinted polymer
New sensor detects minoxidil accurately and effectively.
research How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders
AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
research Towards a molecular understanding of hair loss and its treatment
Future hair loss treatments should aim to extend hair growth, reactivate resting follicles, reverse shrinkage, and possibly create new follicles, with gene therapy showing promise.
research Photographic Imaging in Hair Loss
Photographic imaging is crucial for documenting and managing hair loss, requiring careful preparation and standardization to be effective.
research RP-HPLC Technique for Dustasteride Quantitative Estimation in Tablet Dosage Form: Formulation and Validation of Analytical Technique
A reliable method was developed to measure dutasteride in tablets accurately and consistently.
research Optimization of LC method for the determination of testosterone and epitestosterone in urine samples in view of biomedical studies and anti-doping research studies
Researchers developed a reliable method to measure testosterone and epitestosterone in urine for medical and anti-doping use.
research BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
BaldGraphFormer accurately predicts early baldness, aiding better hair loss treatment.
research Stem Cells Therapies in Basic Science and Translational Medicine: Current Status and Treatment Monitoring Strategies
Stem cell therapies show promise for treating various diseases but face challenges in clinical use and require better monitoring techniques.
research Scalp Disease Detection Using Deep Learning: A Hybrid Ensemble Approach with EfficientNetB0, DenseNet121 and MobileNetV2
The hybrid ensemble model improves scalp disease detection accuracy and consistency.
research A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
research Risk Factors and Epidemiology of Acne Severity and Acne Scar Development: A Comprehensive Clinical Study
Early detection and treatment of acne can prevent scarring and improve quality of life.
research Stimulation of hair growth by Tianma Gouteng decoction: Identifying mechanisms based on chemical analysis, systems biology approach, and experimental evaluation
Tianma Gouteng decoction may help prevent hair loss and promote hair growth.
research HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
"HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
research An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.
research The Regulated Services (Service Providers and Responsible Individuals) (Wales) Regulations 2017 (Rheoliadau Gwasanaethau Rheoleiddiedig (Darparwyr Gwasanaethau ac Unigolion Cyfrifol) Cymru 2017)
The regulations aimed to improve domiciliary care in Wales by ensuring better work conditions and visit schedules.
research New Frontiers of Non‐Invasive Detection in Scalp and Hair Diseases: A Review of the Application of Novel Detection Techniques
New non-invasive techniques can improve diagnosis and treatment of scalp and hair diseases.
research Detection of the nuclear translocation of androgen receptor using quantitative and automatic cell imaging analysis
A new method helps detect androgen receptor movement in cells, aiding research on hair loss treatments.
research Study on the Efficacy and Potential Mechanism of Topical Shen Bai Hair Growing Decoction against Androgenetic Alopecia Based on Ultrahigh Performance Liquid Chromatography Quadrupole Time-of-Flight Mass Spectrometry and RNA-seq
The Shen Bai Hair Growing Decoction may help treat hair loss by promoting hair growth and reducing inflammation.
research Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation
Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
research Electron beam tomography quantitation of coronary calcium and assessment for ischemic coronary disease: a complement to stress testing
Electron Beam Tomography (EBT) is a useful additional test to stress testing for detecting heart disease.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research Applications of Engineered Skin Tissue for Cosmetic Component and Toxicology Detection
Engineered skin tissue is a promising tool for safer cosmetic testing.
research Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation
Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.
research Causal associations between plasma proteins and prostate cancer: a Proteome-Wide Mendelian Randomization
Certain plasma proteins are linked to prostate cancer risk and could help in early detection and treatment.