research Changing Destinies by Fighting Against Bad Luck
People still turn to witchcraft for help with modern problems despite technological advances.
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150-180 / 1000+ results research The Follicle Inference Engine (FIE): A stochastic digital twin and optimal experimental design framework for androgenetic alopecia
research HOW AI CAN SUPPORT FOLLICULAR LYMPHOMA DIAGNOSIS
AI can help diagnose Follicular Lymphoma by accurately identifying specific cell types.
research ADVANCES IN FUNCTIONAL NEUROSURGERY – MACHINE LEARNING, NEURAL ENGINEERING AND ROBOTICS IN TREATMENT OF NEURODEGENERATIVE DISORDERS
AI and robotics are improving treatment and monitoring of neurodegenerative disorders like Parkinson's.
research Prediction of therapeutic outcomes of female pattern hair loss patients based on clinical features with application of artificial intelligence
Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
research Advanced Intelligent Systems for Surgical Robotics
Surgical robots have improved but still can't perform tasks or make decisions on their own.
research Automating Hair Loss Labels for Universally Scoring Alopecia From Images
The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
research Comparison of large language models in generating patient handouts for the dermatology clinic: A blinded study
ChatGPT is preferred for creating dermatology patient handouts, but all models can be useful with oversight.
research AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
SL-HyDE improves medical information retrieval accuracy without needing labeled data.
research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research A Critical Evaluation of Evaluations for Long-form Question Answering
Current automatic metrics for long-form question answering don't align with human preferences; a multi-faceted evaluation approach is needed.
research The Dark Side of the Language: Pre-trained Transformers in the DarkNet
Pre-trained Transformers need extreme retraining to perform well on DarkNet data.
research Progress in computer-assisted function analysis
research AI06 ALUDWIG: an automated artificial intelligence-based assessment of female androgenic alopecia
ALUDWIG can help standardize female hair loss assessment from a single image.
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.
research A Critical Evaluation of Evaluations for Long-form Question Answering
Current methods can't accurately predict which long-form answers people prefer; evaluations should consider different answer qualities separately.
research Turing patterns in development: what about the horse part?
Turing patterns are now recognized as important in developmental biology.
research Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data
AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
research 48853 The AI Doctor will see you now: Can ChatGPT-4 be used to safely counsel patients with allergic contact dermatitis?
ChatGPT-4 can help with allergic contact dermatitis but shouldn't replace expert doctors.
research The Anti-Aging Effects of Adipose-Derived Mesenchymal Stem Cell Exosomes on Skin and Their Potential for Personalized Skincare Applications
Adipose-derived stem cell exosomes and AI can improve personalized skincare by offering anti-aging benefits and precise product customization.
research Hair Loss Diagnosis Using Artificial Neural Networks
Neural networks can effectively predict hair loss.
research Chemistry42: An AI-Driven Platform for Molecular Design and Optimization
Chemistry42 effectively creates and optimizes new molecules for drug discovery.
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 A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions
A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.
research LB1159 First-in-human clinical trial evaluating AI-09, a novel long-lasting ready-to-use liquid injectable neuromodulator for the treatment of glabellar lines
AI-09 is safe, effective, and reduces wrinkles for up to 6 months.
research Plasticity and Cytokinetic Dynamics of the Hair Follicle Mesenchyme: Implications for Hair Growth Control
Hair growth is influenced by dynamic changes in hair follicle cells, which could help treat hair loss.
research QuantAnts machines discover biomarkers for RAS signaling activation and design sgRNAs for CRISPR to target complex CD9, CD34, and CD74.
The QuantAnts machines can find cancer markers and create CRISPR targets for them.
research Programmable Artificial Skins Accomplish Antiscar Healing with Multiple Appendage Regeneration
Artificial skin can heal wounds without scars and regenerate hair, oil, and sweat glands.
research AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
research ANÁLISES COMPUTACIONAIS PREDITIVAS COMO UM NOVO BIOPODER: MODIFICAÇÕES DO TEMPO NA SOCIEDADE DOS SENSORES
Predictive computational analyses have evolved biopower by using technology to track and predict individual and group behaviors.