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.
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research Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% accuracy.
research Hair cluster detection model based on dermoscopic images
The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
research A highly sensitive MEMS silicon‐hair device reproducing the function of hair follicle
The device mimics human hair follicles and detects tiny forces and moments with high sensitivity.
research Psychometric performance of EQ-5D-5L and SF-6DV2 in measuring health status of populations in Chinese university staff and students
Both EQ-5D-5L and SF-6DV2 are valid for measuring health but can't be used interchangeably.
research Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.2)"
The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
research MEGA PROTAC, MEGA DOCK-based PROTAC mediated ternary complex formation pipeline with sequential filtering and rank aggregation
MEGA PROTAC improves prediction and ranking of protein complexes better than existing methods.
research Predictive Modeling of Hair Fall using Random Forest Algorithms
The model accurately predicts hair loss by analyzing various factors.
research Big Self-Supervised Models Advance Medical Image Classification
Self-supervised learning improves medical image classification accuracy.
research FUT Reinvented to FUET: Leveraging Surgical Skill in Modern Hair Restoration
The FUET method improves hair transplant precision and outcomes by combining FUT and FUE techniques under a surgeon's control.
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 Gigasessions with Combination of FUT and FUE in Asians
Combining FUT and FUE techniques improves hair transplant results for severe baldness in Asians.
research The Follicle Inference Engine (FIE): A stochastic digital twin and optimal experimental design framework for androgenetic alopecia
research Neurospectrum: A Geometric and Topological Deep Learning Framework for Uncovering Spatiotemporal Signatures in Neural Activity
Neurospectrum effectively analyzes neural signals to predict and identify brain activity patterns better than traditional methods.
research Σχεδιασμός και υλοποίηση συστήματος επεξεργασίας εικόνας καθώς και μαθηματικών αλγορίθμων βελτιστοποίησης της μεταμόσχευσης ανθρωπίνων τριχοθυλακίων με την τεχνική FUE
The document concludes that the FOLLYSIS© system improves hair transplant processes and patient monitoring with high accuracy and less skin trauma.
research Facial feminization surgery: current state of the art
Facial feminization surgery is effective in helping transgender women appear more feminine and has high patient satisfaction.
research Hair transparency decoding in Asia: From stylists’ perception to in vitro measurement
Higher hair luminosity and shine mean higher perceived transparency.
research Regulation of Hair Follicle Growth and Development by Different Alternative Spliceosomes of FGF5 in Rabbits
FGF5 spliceosomes inhibit rabbit hair growth by affecting gene expression.
research Low fucosylation defines the glycocalyx of progenitor cells and melanocytes in the human limbal stem cell niche
Low fucosylation boosts stem cell growth in the eye.
research Facial Feminization: Systematic Review of the Literature
Facial feminization surgery is safe and patients are satisfied, but more detailed research is needed.
research Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT (GATEWAYS) Scoring of Alopecia Areata
Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
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 Effect of the FA2H Gene on cashmere fineness of Jiangnan cashmere goats based on transcriptome sequencing
The FA2H gene improves cashmere fineness by enhancing hair growth in goats.
research The concept of latent social skills in autism and its predictive value for future development
research Joint Public Review: Touch receptor end-organ innervation and function require sensory neuron expression of the transcription factor Meis2
Meis2 is essential for touch sensation and nerve function in mice.
research Health Utility of Facial Angiofibroma associated with Tuberous Sclerosis Complex
Moderate facial angiofibroma significantly reduces quality of life compared to almost-clear cases, highlighting the benefits of treatment.
research Discovery of Four New FGF5 Variants Causing Long Hair in the Dog
Four new FGF5 gene variants cause long hair in dogs.
research Xgboost Algoritmasıyla Polikistik Over Sendromu Teşhisi
XGBoost can effectively diagnose PCOS with 87% accuracy.
research The protective role of FTY720 in promoting survival of allograft fat in mice
FTY720 helps transplanted fat survive better by reducing immune rejection and improving blood vessel growth.
research 200 Deep learning model to predict sentinel lymph node status in melanoma patients
The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.