AIMC Topic: Hair
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Occurrence of perfluoroalkyl substances in matched human serum, urine, hair and nail.
Journal of environmental sciences (China)
Sep 1, 2017
The purpose of this study was to determine perfluoroalkyl substances (PFASs) in human serum, urine, hair and nail from general populations, and to investigate the possibility for human urine, hair and nail used as the biomonitoring sample for PFASs e...
Computational model for vitamin D deficiency using hair mineral analysis.
Computational biology and chemistry
Aug 30, 2017
Vitamin D deficiency is prevalent in the Arabian Gulf region, especially among women. Recent studies show that the vitamin D deficiency is associated with a mineral status of a patient. Therefore, it is important to assess the mineral status of the p...
Design of hair-like appendages and comparative analysis on their coordination toward steady and efficient swimming.
Bioinspiration & biomimetics
May 22, 2017
The locomotion of water beetles has been widely studied in biology owing to their remarkable swimming skills. Inspired by the oar-like legs of water beetles, designing a robot that swims under the principle of drag-powered propulsion can lead to high...
Honey bee hairs and pollenkitt are essential for pollen capture and removal.
Bioinspiration & biomimetics
Mar 23, 2017
While insect grooming has been observed and documented for over one hundred years, we present the first quantitative analysis of this highly dynamic process. Pollinating insects, like honey bees, purposely cover themselves with millions of pollen par...
Using Machine Learning to Identify Predictors of Maternal and Infant Hair Cortisol Concentration Before and During the COVID-19 Pandemic.
Stress and health : journal of the International Society for the Investigation of Stress
Jun 1, 2025
Hair cortisol concentration (HCC) has been theorized to reflect chronic stress, and maternal and infant HCC may be correlated due to shared genetic, physiological, behavioural, and environmental factors, such as stressful life circumstances. The curr...
Identifying the key factors of mercury exposure in residents of southwestern Iran using machine learning algorithms.
Environmental geochemistry and health
May 31, 2025
It is necessary to predict hair mercury (Hg) levels and specify the related effective factors to develop preventive strategies to reduce Hg exposure in different regions. This study is the first effort to investigate the effectiveness of eight machin...
Artificial Intelligence-Based Personalization of Treatment Regimen for Hair Loss: A 6-Month Clinical Trial.
Journal of drugs in dermatology : JDD
Mar 1, 2025
Hair loss affects up to 50% of women and 80% of men. The high costs and wait times for professional consultations lead many to seek one-size-fits-all solutions that are frequently ineffective. This study tested an artificial intelligence (AI) model f...
Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders.
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
Apr 1, 2024
BACKGROUND: Hair and scalp disorders present a significant challenge in dermatology due to their clinical diversity and overlapping symptoms, often leading to misdiagnoses. Traditional diagnostic methods rely heavily on clinical expertise and are lim...
The Emergent Power of Human Cellular vs Mouse Models in Translational Hair Research.
Stem cells translational medicine
Oct 21, 2022
Different animal models have been used for hair research and regeneration studies based on the similarities between animal and human skins. Primary knowledge on hair follicle (HF) biology has arisen from research using mouse models baring spontaneous...
Development and qualification of a machine learning algorithm for automated hair counting.
International journal of cosmetic science
Nov 1, 2021
OBJECTIVE: Determining the amount of hair on the scalp has always been an important metric of patient satisfaction for hair growth and hair retention technologies. While simple in concept, this measurement is a difficult, resource intensive task for ...
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