3 citations
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August 2024 in “Applied Sciences” A web platform was created to help diagnose scalp conditions accurately and easily.
8 citations
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January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
The system effectively detects scalp diseases and classifies hair fall stages with high precision.
January 2026 in “JDDG Journal der Deutschen Dermatologischen Gesellschaft” Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.
November 2025 in “Scientific Reports” AI improves accuracy and consistency in diagnosing male pattern hair loss.
61 citations
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June 2022 in “IEEE Journal of Biomedical and Health Informatics” The new method improves skin cancer detection in imbalanced datasets.
1 citations
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May 2025 in “Journal of Digital Information Management” VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.
1 citations
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August 2023 in “arXiv (Cornell University)” Deep learning effectively diagnoses scalp disorders, but improvements are needed.
1 citations
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January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
March 2026 in “Aesthetic Plastic Surgery” AI is revolutionizing non-surgical cosmetic procedures by improving personalization, safety, and access.
January 2026 in “ITM Web of Conferences” Better datasets and methods are needed for reliable vitiligo detection using deep learning.
February 2024 in “Frontiers in physics” The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
January 2024 in “International Journal of Advanced Computer Science and Applications” Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
2 citations
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January 2024 in “Journal of Emerging Investigators” A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
8 citations
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January 2017 in “Elsevier eBooks” Certain nutrients can help keep skin healthy as we age.
Forensic hair analysis for drugs is now more reliable and accurate.
158 citations
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January 2015 in “Artificial Intelligence in Medicine” DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
April 2023 in “Journal of Investigative Dermatology” The improved EczemaNet more reliably and clearly identifies and assesses the severity of atopic dermatitis from photos.
July 2025 in “Journal of Neonatal Surgery” The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
December 2024 in “Ukrainian Journal of Dermatology Venerology Cosmetology” "Alpenta" effectively reduces hair loss and improves hair growth in women with telogen effluvium.
1 citations
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August 2012 in “Research in Pharmaceutical Sciences”
November 2012 in “Econometric Theory” Herman Bierens had a successful career in econometrics, contributed to education, and plans to continue research after retirement.
32 citations
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March 2018 in “Neoplasia” Nephronectin is linked to worse breast cancer outcomes and helps cancer spread.
June 2026 in “Scientific Reports” Nestin-expressing hair follicle cells may be useful for nerve repair and regeneration.
6 citations
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February 2025 in “Scientific Reports” MEGA PROTAC improves prediction and ranking of protein complexes better than existing methods.
July 2020 in “Zenodo (CERN European Organization for Nuclear Research)” HairFortin may help reduce hair loss and promote regrowth.
November 2025 in “Indian Journal of Plastic Surgery” The FUET method improves hair transplant precision and outcomes by combining FUT and FUE techniques under a surgeon's control.
8 citations
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June 2024 in “Pharmaceutics” PEA-ENL improves skin delivery and reduces inflammation without side effects.
June 2026 in “ChemistryOpen” Modified nanofibers improve finasteride skin absorption.