2 citations
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January 2024 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.
1 citations
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January 2025 in “JEADV Clinical Practice” This study reported that the AAPPO tool effectively distinguishes between patients with alopecia areata based on scalp hair loss severity, whereas the EQ‐5D‐5L may underestimate the specific disease burden, particularly in psychological and social aspects.
August 2026 in “Journal of Genome Biotechnology and Genetics” This review found that while forensic DNA phenotyping and health applications for pigmentation genetics show potential, factors like phenotype definition and population diversity present challenges to accurate genotype-to-appearance predictions.
2 citations
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September 2011 in “Chiang Mai Medical Journal - เชียงใหม่เวชสาร” This study demonstrated that the 5-mg generic finasteride tablet is bioequivalent to the original tablet when tested in healthy Thai male volunteers.
29 citations
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November 2022 in “Nature Medicine” This study identified thousands of variant-metabolite associations in the human plasma metabolome, offering insights into the genetic bases of metabolism and potential adverse drug effects.