January 2025 in “Communications in computer and information science” HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
February 2024 in “Frontiers in physics” The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
February 2026 in “Pharmaceuticals” KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
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December 2025 in “Scientific Reports” A machine learning model can predict alopecia areata early using specific gene markers.
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October 2024 in “BMC Medical Informatics and Decision Making” AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.