Predicting Hair Loss With AI: A Deep Learning Framework Combining Genetic And Scalp Health Data

    January 2024
    S. Pandikumar, N Sevugapandi, Meyyazhagan Arun
    Studysummary In this study, researchers proposed a deep learning approach combining genetic, hormonal, scalp health, and lifestyle data to predict hair loss, employing CNNs for image analysis and RNNs for modeling data over time, although specific results are not reported.
    Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer
    Read the full study on qtanalytics.in →
    Discuss this study in the Community →

    Related research 4

    1. Revitalizing Hair Growth: A New Regimen Utilizing Growth Factor Concentrate for Hair Loss Treatment Cureus · 2024
    2. Sisaipho Alopecia Areata Treated With Tofacitinib and Oral Minoxidil JAAD case reports · 2022
    3. Significant Relationship Between Temporal Hair Loss and Other Scalp Areas in Female Pattern Hair Loss Journal of Dermatology · 2020
    4. The Changing Patterns of Hair Density and Thickness in South Korean Women with Hair Loss: Clinical Office-Based Phototrichogram Analysis International Journal of Dermatology · 2008