December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
3 citations,
July 2023 in “Nature Communications” The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
1 citations,
February 2024 in “npj digital medicine” Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
July 2022 in “International Journal of Applied Pharmaceutics” Machine learning and deep learning can effectively diagnose alopecia areata.
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.
4 citations,
October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
2 citations,
September 2023 in “JMIR. Journal of medical internet research/Journal of medical internet research” Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
The system can automatically identify different hair and scalp conditions using machine learning.
116 citations,
September 2020 in “Nature Communications” The research identified various cell types in mouse and human teeth, which could help in developing dental regenerative treatments.
June 2024 in “Computational and Structural Biotechnology Journal” Multi-omics techniques help understand the molecular causes of androgenetic alopecia.
1 citations,
January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
June 2023 in “International journal on recent and innovation trends in computing and communication” Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
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.
March 2023 in “Applied and Computational Engineering” Deep learning models can analyze scalp diseases effectively.
8 citations,
August 2021 in “Computational and Mathematical Methods in Medicine” Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
8 citations,
January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
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.
1 citations,
March 2019 in “Lasers in Surgery and Medicine” The conference reported improvements in muscle volume, skin cancer diagnosis, facial and vaginal rejuvenation, and hair growth using various laser treatments.
2 citations,
June 2020 in “Journal of Investigative Dermatology” 3D imaging of skin biopsies offers better accuracy but is time-consuming and can't clear melanin.
34 citations,
January 2020 in “IEEE Access” A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.
1 citations,
January 2024 in “IEEE access” The new method improves facial image restoration quality and face recognition accuracy.
July 2020 in “bioRxiv (Cold Spring Harbor Laboratory)” The structure of SRD5A reveals how it reduces steroids, aiding drug design for related health conditions.
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.
9 citations,
April 2023 in “Frontiers in immunology” New technologies help us better understand how skin microbes affect skin diseases.
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.
February 2024 in “Frontiers in physics” The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
December 2023 in “Frontiers in plant physiology” Root hairs are key for developing cereals that can fertilize themselves with nitrogen.
The study aims to create a model to improve personalized and preventive health care.
15 citations,
December 2021 in “Pharmaceutics” The study found key factors in the cause of hidradenitis suppurativa, its link to other diseases, and identified existing drugs that could potentially treat it.
16 citations,
October 2023 in “Molecular cancer” New treatments like nanotechnology show promise in improving skin cancer therapy.