November 2023 in “Advanced functional materials” Magnesium Silicate Sprays help heal burn wounds and regrow skin features better than commercial products.
February 2023 in “IntechOpen eBooks” Testosterone replacement therapy helps manage deficiency and has various methods, but requires careful monitoring to avoid side effects.
January 2023 in “Burns & Trauma” The study concluded that the new wound model can be used to evaluate skin regeneration and nerve growth.
February 2018 in “InTech eBooks” PRP therapy is effective for hair regrowth and improving hair quality with minimal side effects.
February 2023 in “Journal of Advanced Research” A new method using Platelet-rich Plasma (PRP) in a microneedle can promote hair regrowth more efficiently and is painless, minimally invasive, and affordable.
215 citations,
March 2011 in “Clinical Cancer Research” Sorafenib is effective in treating Desmoid Tumor/Deep Fibromatosis.
37 citations,
October 2017 in “Advanced drug delivery reviews” The review suggests that there are various treatments to help restore skin color after severe burns.
33 citations,
April 2017 in “American journal of clinical dermatology” Early treatment of superficial fungal infections in immunocompromised patients is crucial.
11 citations,
October 2017 in “Mycoses” An 80-year-old man's deep beard infection was cured with oral terbinafine after identifying the fungus Trichophyton verrucosum.
8 citations,
January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
2 citations,
January 2024 in “Pharmaceuticals” Deep eutectic solvents are eco-friendly and effective for extracting useful pharmaceutical compounds.
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.
1 citations,
January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
September 2024 in “Journal of Investigative Dermatology” A new tool can analyze hair to detect changes due to hormones, genetics, and aging.
The model accurately classifies hair conditions with 97% accuracy.
Deep eutectic solvents can replace toxic solvents in extracting useful compounds for medicines.
GoogLeNet is the best model for identifying folliculitis.
May 2023 in “Indian journal of science and technology” The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
March 2023 in “Applied and Computational Engineering” Deep learning models can analyze scalp diseases effectively.
December 2022 in “Research Square (Research Square)” The document concludes that an automatic system using deep learning can help diagnose skin disorders, but challenges and opportunities in this area remain.
November 2022 in “PubMed” Deep dermal tissue dislocation injury in pigs leads to thicker fibrotic tissue and increased type III collagen, affecting skin repair.
September 2022 in “Research Square (Research Square)” The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
July 2022 in “International Journal of Applied Pharmaceutics” Machine learning and deep learning can effectively diagnose alopecia areata.
January 2021 in “Lecture notes in networks and systems” Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
April 2017 in “Journal of Investigative Dermatology” Deep phenotyping helps distinguish between xeroderma pigmentosum and trichothiodystrophy, aiding in diagnosis and treatment.
July 2007 in “Hair transplant forum international” Patients may be at risk for deep vein thrombosis.
Meshushit ointment helps form thicker healing tissue and preserves hair follicles in burns.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
5 citations,
September 2010 in “Cancer Prevention Research” The research suggests new treatments for skin cancer could target specific cell growth pathways.
April 2023 in “Journal of Investigative Dermatology” The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.