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.
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research Signaling and Gene Expression for Water-Tolerant Legume Nodulation
The tropical legume Sesbania rostrata can form nodules in waterlogged conditions using a different method that involves plant hormones and specific genes.
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 AB-MTE Deep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
research Leveraging Deep Neural Networks to Uncover Unprecedented Levels of Precision in the Diagnosis of Hair and Scalp Disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
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