April 2023 in “Journal of Investigative Dermatology” An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.
October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
18 citations,
January 2020 in “Frontiers in Chemistry” A new model can predict drug-disease links well, helping drug research.
1 citations,
February 2024 in “npj digital medicine” Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
March 2023 in “Applied and Computational Engineering” Deep learning models can analyze scalp diseases effectively.
8 citations,
January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
February 2024 in “Frontiers in physics” The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
1 citations,
January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
A hat with sensors can measure scalp moisture well, helping with hair care.
4 citations,
October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
24 citations,
May 2016 in “Stem Cell Reviews and Reports” The document concludes that understanding how adult stem and progenitor cells move is crucial for tissue repair and developing cell therapies.
19 citations,
April 2015 in “Developmental Dynamics” The conclusion is that skin and hair patterns are formed by a mix of cell activities, molecular signals, and environmental factors.
November 2023 in “Journal of Dermatological Science” A new computer tool quickly measures hair thickness differences in people with common types of hair loss.
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.
4 citations,
January 2021 in “Dermatologic Therapy” AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
5 citations,
April 2024 in “bioRxiv (Cold Spring Harbor Laboratory)” Aging skin shows thinner layers, fewer hair follicles, and new biomarkers like increased space between cells and smaller sebaceous glands.
291 citations,
April 2010 in “Gastroenterology” Certain proteins, Lgr5 and Lgr6, are important markers of adult stem cells and are involved in tissue repair and cancer development.
December 2023 in “The journal of physical chemistry. B (1997 : Online)” Human hair keratin might be good for filtering out harmful substances from water.
Deep learning can improve non-invasive alopecia diagnosis using hair images.
Transfer learning with three neural network architectures accurately classifies hair diseases.
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
November 2022 in “bioRxiv (Cold Spring Harbor Laboratory)” Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
10 citations,
September 2020 in “Computational and Mathematical Methods in Medicine” Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
January 2021 in “Lecture notes in networks and systems” Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
April 2021 in “Journal of Investigative Dermatology” Spironolactone safely and effectively treats hair loss in female scarring alopecia patients.
September 2023 in “International journal of medicine” AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
139 citations,
December 2020 in “Cell Stem Cell” Male hormones affect COVID-19 severity and certain drugs targeting these hormones could help reduce the risk.
2 citations,
January 2019 in “Medizinische Genetik” The document reports findings on genetic research, including ethical concerns about genome editing, improved diagnosis of mitochondrial mutations, solving inherited eye diseases, confirming gene roles in epilepsy, linking a gene to aneurysms, and identifying genes associated with age-related macular degeneration.
1 citations,
April 2018 in “Lasers in Surgery and Medicine” New treatments and technologies in laser medicine show promise for improving skin conditions, fat reduction, cancer treatment, wound healing, and hair restoration.