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research Benzo[c]quinolizin-3-ones Theoretical Investigation: SAR Analysis and Application to Untested Compounds

6 citations , August 2004 in “Journal of Chemical Information and Computer Sciences”

The research found a link between certain molecular features and the biological activity of BC3, which can help identify or create new active compounds.

research Identification of Stress-Related Hair Loss and Prevention Through the Application of a KNN Model Based on Machine Learning

August 2025 in “International Journal of Research Publication and Reviews”

Machine learning can predict stress-related hair loss and suggest prevention tips.

research CNN-KNN Model for Assessing Hair Health in Telogen Effluvium

February 2025

The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.

research Classification Framework for Healthy Hair and Alopecia Areata: A Machine Learning Approach

8 citations , August 2021 in “Computational and Mathematical Methods in Medicine”

Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.

research Machine Learning Algorithms as Tools for Identifying Predictive Autoantibody Biomarkers in Pemphigus Vulgaris

July 2025 in “Journal of Investigative Dermatology”

Machine learning can help identify biomarkers for personalized Pemphigus vulgaris treatment.

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