research Effective holistic characterization of small molecule effects using heterogeneous biological networks
Integrating biological networks improves drug repurposing and ADR prediction.
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90-120 / 1000+ resultsresearch Étude PCPT : les biais attendus et leur gestion
Systematic end-of-trial biopsies are the most reliable way to assess outcomes.
research Natural variability and the influence of concurrent control values on the detection and interpretation of low-dose or weak endocrine toxicities.
Control variability makes it hard to confirm low-dose endocrine effects.
research A Comparative Analysis of Large Language Model Accuracy for Image-Based Hair Disease Identification in Diverse Skin Tones
ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.
research GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
The new method predicts post-hair transplant images more accurately than other methods.
research Assessment of college students’ mental health status based on temporal perception and hybrid clustering algorithm under the impact of public health events
A new method accurately measures college students' mental health by considering time perception and clustering techniques.
research Machine learning driven multi-omics analysis of the genetic mechanisms behind the double-coat fleece formation in Hetian sheep
Key genes IRF2BP2 and EGFR are linked to Hetian sheep's double-coat fleece.
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.
research Cell‐free transcriptomic profiles and mechanism insights in female androgenetic alopecia
DNAJB9 cfRNA could help diagnose and treat female hair loss.
research Assessing a measure for Quality of Life in patients with severe Alopecia Areata: a multicentric Italian study
Alopecia Areata severely impacts mental health, causing anxiety and depression, affecting quality of life.
research Optimizing finasteride chemoprevention
research Improving inter-observer variability in the evaluation of ultrasonographic features of polycystic ovaries
Training improves consistency in evaluating polycystic ovaries with ultrasound.
research KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
research Interactive analysis of single-cell trajectories in 3D space with Cell Journey
Cell Journey is a tool for better 3D visualization of cell changes over time.
research Estimating Scalp Moisture in a Hat Using Wearable Sensors
A hat with sensors can measure scalp moisture well, helping with hair care.
research Combination Therapies and the Theoretical Limits of Evidence-Based Medicine
The current system can't fully test all combination treatments, so alternative methods and regulatory flexibility are needed.
research Two-Stage Machine Learning-Based GWAS for Wool Traits in Central Anatolian Merino Sheep
Machine learning can effectively identify genes to improve wool quality in sheep.
research Optimization of Finasteride Nano-Emulsion Preparation Using Chemometric Approach
Finasteride nano-emulsion optimized using chemometric approach.
research Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
research Sparse haplotype-based fine-scale local ancestry inference at scale reveals recent selection on immune responses
Recent selection on immune response genes was identified across seven ethnicities.
research Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
The method improves hair image segmentation accuracy while reducing annotation costs.
research Empirical evidence of observer bias in randomized clinical trials: updated and expanded analysis of trials with both blinded and non-blinded outcome assessors
Non-blinded assessors tend to overestimate effects in trials by about 29%.
research Experience with Laser Hair Transplantation in Orientals
Adjusting laser settings improved hair transplant results in Oriental patients.
research Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.
research 任意方向の負荷に対する多自由度機構の出力変位誤差評価 : 評価法の提案と3自由度空間パラレルメカニズムの高剛性化(機械力学,計測,自動制御)
Minoxidil sulfate and pinacidil promote hair growth likely by increasing blood flow, not by activating K channels.
research Pharmacophore Modeling and Three Dimensional Database Searching for Drug Design Using Catalyst: Recent Advances
The document concludes that Catalyst software is effective for drug design, identifying potent compounds for various medical conditions.
research PERANCANGAN PROGRAM APLIKASI PENGENALAN SUARA PADA WINDOWS MENGGUNAKAN FOURIER METHOD
Finasteride effectively treats BPH by reducing prostate size and improving symptoms.
research DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network
The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.
research Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
research HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.