4 citations
,
August 2022 in “International Journal of Molecular Sciences” Human foreskin does not show aging or reduced cell growth after radiation, and H2A.J is not a good marker for radiation-induced aging.
3 citations
,
November 2025 in “Annals of Medicine” Following the DASH diet reduces mortality risk in hypertensive adults.
2 citations
,
November 2025 in “Comprehensive Reviews in Food Science and Food Safety” Combining advanced sensors with portable devices could enhance on-site food safety monitoring.
2 citations
,
May 2025 in “Diagnostics” ATR-FTIR spectroscopy could help monitor alopecia areata treatment response non-invasively.
2 citations
,
March 2025 in “Nanoenergy Advances” Bioelectronic nanogenerators show promise for cancer treatment but need better understanding and development.
2 citations
,
January 2024 in “IEEE Access” AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
1 citations
,
May 2022 in “IntechOpen eBooks” Natural products might help treat COVID-19, but current drugs like hydroxychloroquine haven't worked.
April 2026 in “Journal of Pharmaceutical and BioTech Industry” AI-enhanced smart patches can personalize drug delivery for better treatment outcomes.
March 2026 in “International Journal of Molecular Sciences” A temporary capillary cell type helps skin repair after radiation by promoting blood vessel growth.
Polydopamine is promising for personalized medicine and biomedical technology due to its strong adhesion and biocompatibility.
January 2026 in “Frontiers in Microbiology” Enterococcus faecium broth may slow aging and improve health by boosting immunity and gut bacteria.
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
January 2026 in “JDDG Journal der Deutschen Dermatologischen Gesellschaft” Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.
June 2025 in “International Journal of Computational Intelligence Systems” The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
November 2024 in “International Journal of Social health” Virgin Coconut Oil with 4% red chili oil boosts hair growth.
October 2024 in “Journal of Plant Growth Regulation” Fusarium sp. strain K-23 helps Arabidopsis plants grow better in salty soil by promoting root hair growth.
April 2024 in “Pigment cell & melanoma research” Different types of resting melanocyte stem cells have unique characteristics and vary in their potential to become other cells.
April 2026 in “Biomolecules” New treatments for PCOS using smart drug delivery, metabolic changes, and AI show promise but need more research.
November 2021 in “Frontiers in Genetics” The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.
8 citations
,
August 1987 in “The Journal of Dermatology” BKN-1 antibody targets specific keratin in basal cell epithelioma and normal skin basal cells.
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
3 citations
,
January 2025 in “BMC Medical Informatics and Decision Making” Machine learning can help find new ways to treat alopecia areata.
January 1990 in “대한피부과학회지” Peanut agglutinin staining helps differentiate malignant melanoma from nevocellular nevus.
February 2026 in “International journal of intelligent engineering and systems” The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
9 citations
,
June 2019 in “JAAD case reports” Laser hair removal can help treat acne keloidalis nuchae, but results vary and a standard scoring system is needed.
6 citations
,
November 2022 in “Forensic Science Medicine and Pathology” Genetic markers can help predict ear shapes for forensic use.
3 citations
,
January 2023 in “European Journal of Information Technologies and Computer Science” The machine learning model accurately detected hair loss and scalp diseases using processed images.
July 2024 in “Journal of Investigative Dermatology” Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
1 citations
,
March 2024 in “Skin research and technology” A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
March 2026 in “FMDB Transactions on Sustainable Health Science Letters” A deep learning method can detect nutritional deficiencies from hair and nail images with 89% accuracy.