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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research Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia Using Dermoscopic Hair Images
Deep learning can improve non-invasive alopecia diagnosis using hair images.
research Hair and Scalp Disease Detection Using Machine Learning and Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research Inhibition of 17α-Hydroxylase/C17,20 Lyase Reduces Gating Deficits Consequent to Dopaminergic Activation
Blocking CYP17A1 enzyme may help improve certain brain function issues related to dopamine.
research Group-ICA Model Order Highlights Patterns of Functional Brain Connectivity
Choosing the right model order in brain connectivity analysis can affect the detection of differences between healthy individuals and those with seasonal affective disorder.
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