4 citations
,
July 2023 in “Pharmaceutics (Basel)” Nanoparticle-based drug delivery to hair follicles is more effective when tested under conditions that match skin behavior.
1 citations
,
July 2025 in “Frontiers in Pharmacology” FMH foods may help manage post-acute COVID-19 symptoms safely and easily.
6 citations
,
April 2023 in “Frontiers in Bioengineering and Biotechnology” The new dressing speeds up burn healing by draining fluids better.
January 2017 in “Journal of Asian Scientific Research” Onions from Gilgit grow larger and heavier than those from Hunza.
1 citations
,
February 2024 in “Environmental health perspectives” Exposure to certain metals may worsen attention-related behaviors in adolescents, with stronger effects in females.
4 citations
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May 2023 in “arXiv (Cornell University)” Current automatic metrics for long-form question answering don't align with human preferences; a multi-faceted evaluation approach is needed.
March 2026 in “Mendeley Data” March 2026 in “Mendeley Data” February 2026 in “Australasian Journal of Dermatology” A new tool simplifies alopecia areata severity scoring but needs validation.
November 2025 in “Informatica” The method greatly improves low-light sports images' quality and reduces artifacts.
Current methods can't accurately predict which long-form answers people prefer; evaluations should consider different answer qualities separately.
March 2026 in “Pediatric Dermatology” Generative AI tools can accurately score alopecia areata, reducing subjectivity in evaluations.
March 2026 in “Mendeley Data” rwSALT accurately measures hair regrowth in alopecia areata using scalp photos.
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 2026 in “Mendeley Data” rwSALT provides precise hair regrowth measurement from scalp photos.
3 citations
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September 2023 in “PeerJ Computer Science” A new method accurately measures college students' mental health by considering time perception and clustering techniques.
March 2026 in “Journal of Investigative Dermatology” Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
5 citations
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April 2024 in “JAAD International” AI can accurately measure hair loss severity in alopecia areata.
September 2024 in “Journal of the American Academy of Dermatology” Media attention increased oral minoxidil prescriptions for English-preferring patients but not for Spanish-preferring patients.
1 citations
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May 2025 in “International Journal of Dermatology”
39 citations
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November 2017 in “Journal of The American Academy of Dermatology” The document suggests using standardized methods to track and measure hair loss in alopecia areata, including patient self-assessment and a 50% improvement in specific scores as a treatment goal.
January 2024 in “JEADV clinical practice” The study helps doctors use patient images to understand and apply SALT scores for treating severe alopecia areata.
14 citations
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June 2022 in “British Journal of Dermatology” A SALT score of ≤ 20 indicates meaningful improvement in alopecia areata treatment.
July 2022 in “Journal of Investigative Dermatology” The conclusion suggests that a new system for measuring hair loss could be created using automated analysis of photographs.
Attractive women slightly worsened mood, green backgrounds improved mood, and older people had better moods.
January 2024 in “Indian Journal of Psychiatry” Precision neuromodulation may improve schizophrenia symptoms.
1 citations
,
July 2025 in “BMC Psychology” Social rejection can harm long-term mental health in transgender individuals.
6 citations
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June 2018 in “PLOS ONE” The Alopecia Areata Assessment Tool (ALTO) effectively identifies alopecia areata from other hair loss types but needs more validation.
44 citations
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November 2016 in “Journal of The American Academy of Dermatology” The updated SALT II tool offers a more precise way to measure scalp hair loss.
20 citations
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December 2017 in “Journal of Investigative Dermatology Symposium Proceedings” Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.