11 citations,
September 2021 in “Anais Brasileiros de Dermatologia” The conclusion is that early diagnosis of skin signs linked to diseases like Lupus, Dermatomyositis, and Rheumatoid Arthritis is crucial to prevent serious complications.
February 2024 in “Neurophotonics” Light therapy on the brain shows promise for treating brain diseases and improving brain function.
December 2023 in “Aggregate” Scientists are using clumps of special stem cells to improve organ repair.
June 2023 in “Frontiers in Bioengineering and Biotechnology” The conclusion is that accurately replicating the complexity of the extracellular matrix in the lab is crucial for creating realistic human tissue models.
May 2023 in “Karnataka Pediatric Journal” Early diagnosis and aggressive treatment are crucial for managing SLE-related pancreatitis in children.
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.
1 citations,
February 2004 in “Dermatologic Surgery” Deep Plane Fixation in scalp surgeries allows for more tissue removal with less tension, leading to better healing and less scarring.
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.
February 2004 in “Dermatologic Surgery” Deep Plane Fixation in scalp surgeries allows for more tissue removal with less tension and minimal scarring.
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.