research BroadAMP-GPT: AI-Driven generation of broad-spectrum antimicrobial peptides for combating multidrug-resistant ESKAPE pathogens
BroadAMP-GPT effectively creates antimicrobial peptides to fight drug-resistant bacteria.
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120-150 / 264 resultsresearch Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
The new method improves accuracy in segmenting scalp tissue layers.
research Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% accuracy.
research MITF E318K naevus phenotype: the modifying role of MC1R Red Hair Variants
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 Scalp disease analysis using deep learning models
Deep learning models can analyze scalp diseases effectively.
research Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
research Past, present, and future of global research on artificial intelligence applications in dermatology: A bibliometric analysis
AI in dermatology is growing rapidly, showing promise in diagnosing skin conditions as accurately as dermatologists.
research Radiomics and radiogenomics in ovarian cancer: a review with a focus on ultrasound applications
Ultrasound-based radiomics and radiogenomics can improve ovarian cancer diagnosis and treatment, but need better standardization and AI tools.
research Artificial Intelligence in Dermatology: Assessing Predictability in Clinical Diagnosis
The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
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 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 Innovations in skin microphysiological systems for nonclinical testing and FDA modernization
New technologies replicate human skin for testing without animals.
research Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
research A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
A new method accurately measures cell changes in breast cancer.
research Recent advances in Forensic DNA Phenotyping of appearance, ancestry and age
Forensic DNA Phenotyping can now better predict appearance, ancestry, and age from DNA, but more research is needed for precise police use.
research Drug Repurposing for Rare Diseases
Drug repurposing offers a faster, cheaper way to find treatments for rare diseases.
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 Transposon control as a checkpoint for tissue regeneration
Controlling transposable elements is crucial for successful tissue regeneration.
research Keratin 15 promotes a progenitor cell state in basal keratinocytes of skin epidermis
Keratin 15 helps maintain skin cell growth and repair.
research Adsorption of Diclofenac and PFBS on a Hair Keratin Dimer
Human hair keratin might be good for filtering out harmful substances from water.
research Artificial intelligence: revolutionizing robotic surgery: review
AI in robotic surgery improves precision and safety but faces cost and ethical challenges.
research Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
Machine learning can effectively predict type 2 diabetes risk.
research Development and application of emotion recognition technology — a systematic literature review
Emotion recognition tech helps devices understand emotions, but more research is needed for complex situations.
research Poster Presentations
Ustekinumab successfully treated a man's resistant skin condition when other treatments failed.
research The Transformative Role of Artificial Intelligence in Plastic and Reconstructive Surgery: Challenges and Opportunities
AI can greatly improve plastic surgery, but ethical care and human aspects must remain a priority.
research Non-invasive skin measurement methods and diagnostics for vitiligo: a systematic review
Reliable, non-invasive tools are needed for better vitiligo diagnosis.
research Recent Advances in Peptide Drug Discovery: Novel Strategies and Targeted Protein Degradation
Peptide drugs now target hard-to-reach proteins more effectively and specifically.
research Spatial and single-cell transcriptomics unravel the complex interplay between the body and medical implants
New technologies help us understand how the body reacts to medical implants, which can improve implant performance.