February 2024 in “Frontiers in physics” The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
February 2024 in “Journal of Robotic Surgery” The document concludes that surgical robots improve surgery and recovery but are costly and can stress surgeons due to less patient contact.
February 2024 in “Skin research and technology” The research suggests that immune cells and a specific type of cell death called ferroptosis are involved in Frontal fibrosis alopecia.
Androstenedione is better than testosterone for diagnosing PCOS in Indian women.
January 2024 in “The Egyptian Journal of Hospital Medicine” Men with male pattern baldness have higher levels of A-FABP, which might help in early detection.
January 2024 in “International Journal of Biological and Environmental Investigations” A reliable method was developed to measure dutasteride in tablets accurately and consistently.
December 2023 in “Annales Pharmaceutiques Françaises” The UV–Vis Spectrophotometry method effectively measures minoxidil in rat skin for alopecia treatment.
December 2023 in “Portuguese journal of dermatology and venereology” Trichoscopy can reliably distinguish between alopecia areata and trichotillomania.
Transfer learning with three neural network architectures accurately classifies hair diseases.
December 2023 in “Annals of phytomedicine” Dutasteride is more effective than finasteride for hair loss treatment.
October 2023 in “Biomedical science and engineering” Innovative methods are reducing animal testing and improving biomedical research.
October 2023 in “Al-Anbar medical journal” The clinic-based hair fall count method is accurate and reliable.
August 2023 in “Journal of Chromatographic Science” A new method accurately measures three compounds in rat plasma from pine needle extracts, aiding future research on its use for hair loss.
August 2023 in “Journal of Cosmetic Dermatology” Some plants like spinach, broccoli, and matcha may boost the effectiveness of the hair growth drug minoxidil.
AI-assisted surgical robots improve surgery precision and safety.
June 2023 in “Journal of Cosmetic Dermatology” AI and AR are improving cosmetic dermatology but face challenges like data quality and ethical concerns.
May 2023 in “Journal of Pakistan Medical Association” People with polycystic ovary syndrome have higher levels of Gremlin-1.
May 2023 in “Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy” A new green method accurately measures finasteride and tadalafil in drugs and plasma.
May 2023 in “Experimental Dermatology” RCM and OCT are effective for diagnosing and monitoring hair-related skin diseases but lack standardized protocols and need more research.
Combining dermoscopy and calcium fluorescent white staining improves diagnosis and treatment of hair fungal infections.
May 2023 in “IntechOpen eBooks” Forensic DNA Phenotyping accurately predicts physical traits and is used in investigations, but needs more diverse population data for confirmation.
May 2023 in “Journal of Investigative Dermatology” The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
April 2023 in “Research Square (Research Square)” The study found that GPX4 mRNA levels in polymorphonuclear neutrophils (PMNs) are significantly lower in systemic lupus erythematosus (SLE) patients compared to healthy controls and patients with rheumatoid arthritis (RA) or axial spondyloarthritis (axSpA). Lower GPX4 mRNA levels were negatively correlated with the presence of autoantibodies, disease activity markers, and lupus alopecia. Specifically, GPX4 mRNA levels were inversely related to antinuclear antibodies (ANAs), anti-dsDNA antibodies, antinucleosome antibodies (ANuA), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and SLE Disease Activity Index (SLEDAI) scores. The diagnostic accuracy of GPX4 mRNA for SLE was high, with an area under the curve (AUC) of 0.8483, sensitivity of 78.00%, and specificity of 80.95%. These findings suggest that GPX4 mRNA could serve as a valuable diagnostic marker and potential therapeutic target for SLE, particularly for lupus alopecia.
April 2023 in “Cancer research” KRTAP2-3 could help predict cancer recurrence by identifying specific cancer cells.
July 2022 in “International Journal of Applied Pharmaceutics” Machine learning and deep learning can effectively diagnose alopecia areata.
January 2021 in “Clinical dermatology review” Teledermatology is crucial and effective for remote skin care in India.
December 2020 in “Research Square (Research Square)” The AndroCoV Clinical Scoring is a quick, affordable, and accurate method for diagnosing COVID-19.
January 2020 in “Proyecto de investigación:” Longer anogenital distance may indicate a higher chance of having polycystic ovary syndrome, and measuring this distance along with hormone levels could improve diagnosis.
December 2019 in “International journal of scientific research in science and technology” Researchers developed a simple, low-cost method to accurately measure Aminexil in hair tonic.
May 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Higher resolution images are needed to identify scarring and fine hair in alopecia.