AIMC Topic: Hair
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Light-Fueled Polymer Film Capable of Directional Crawling, Friction-Controlled Climbing, and Self-Sustained Motion on a Human Hair.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Oct 28, 2021
Recent efforts in stimuli-responsive soft materials have enabled wirelessly controlled actuation with increasing degrees of freedom, yielding miniature robots capable of various locomotion in open environments such as on a plane or inside fluids. How...
Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach.
Computational and mathematical methods in medicine
Aug 14, 2021
Alopecia areata is defined as an autoimmune disorder that results in hair loss. The latest worldwide statistics have exhibited that alopecia areata has a prevalence of 1 in 1000 and has an incidence of 2%. Machine learning techniques have demonstrate...
Artificial Intelligence in hair research: A proof-of-concept study on evaluating hair assembly features.
International journal of cosmetic science
May 30, 2021
OBJECTIVE: The first objective of this study was to apply computer vision and machine learning techniques to quantify the effects of haircare treatments on hair assembly and to identify correctly whether unknown tresses were treated or not. The secon...
Biomimetic Hairy Whiskers for Robotic Skin Tactility.
Advanced materials (Deerfield Beach, Fla.)
May 8, 2021
Touch sensing is among the most important sensing capabilities of a human, and the same is true for smart robotics. Current research on tactile sensors is mainly concentrated on electronic skin (e-skin), but e-skin is prone to be easily dirtied, dama...
The design and application of an automated microscope developed based on deep learning for fungal detection in dermatology.
Mycoses
Dec 7, 2020
BACKGROUND: Light microscopy to study the infection of fungi in skin specimens is time-consuming and requires automation.
Combining Deep Learning With Optical Coherence Tomography Imaging to Determine Scalp Hair and Follicle Counts.
Lasers in surgery and medicine
Sep 22, 2020
BACKGROUND AND OBJECTIVES: One of the challenges in developing effective hair loss therapies is the lack of reliable methods to monitor treatment response or alopecia progression. In this study, we propose the use of optical coherence tomography (OCT...
Time-of-flight secondary ion mass spectrometry analysis of hair samples using unsupervised artificial neural network.
Biointerphases
Apr 20, 2020
Time-of-flight secondary ion mass spectrometry (TOF-SIMS) is extensively employed for the structural analysis of the outermost surfaces of organic materials, including biological materials, because it provides detailed compositional information and e...
Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture.
Computer methods and programs in biomedicine
May 15, 2019
BACKGROUND AND OBJECTIVE: Skin melanoma is one of the major health problems in many countries. Dermatologists usually diagnose melanoma by visual inspection of moles. Digital hair removal can provide a non-invasive way to remove hair and hair-like re...
Bioinspired Hairy Skin Electronics for Detecting the Direction and Incident Angle of Airflow.
ACS applied materials & interfaces
Apr 1, 2019
The human skin has inspired multimodal detection using smart devices or systems in fields including biomedical engineering, robotics, and artificial intelligence. Hairs of a high aspect ratio (AR) connected to follicles, in particular, detect subtle ...
Determination of ractopamine and salbutamol in pig hair by liquid chromatography tandem mass spectrometry.
Journal of food and drug analysis
Nov 12, 2017
A liquid chromatography tandem mass spectrometric method was developed for the determination of two β-agonists (ractopamine and salbutamol) in pig hair samples. An isotope of ractopamine-d5 or salbutamol-d6 as an internal standard was used to carry o...
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