18 citations
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December 2005 in “Journal of Medicinal Chemistry” A brominated phenoxy compound effectively inhibits a human enzyme and shows potential for clinical use.
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February 2025 in “Journal of Nanobiotechnology” A new treatment using microneedles with black phosphorus and laser helps regrow hair effectively and safely.
17 citations
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February 2018 in “Journal of Cosmetic and Laser Therapy” The QR 678 hair growth treatment was safe and effective for hair regrowth in men and women.
April 2023 in “Journal of Investigative Dermatology” CD206+ macrophages are crucial for hair growth in alopecia areata treatment.
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November 2017 in “Journal of Cosmetic Dermatology” Certain polymers can stick to hair and increase volume, working best at a pH of 7 to 9.
1 citations
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September 2024 in “Journal of the American Academy of Dermatology” Poor air quality increases the risk of atopic dermatitis in Taiwan.
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April 2017 in “Australasian Journal of Dermatology” Different skin conditions show distinct types of vessel inflammation, a new quality of life index for vulval disease is reliable, a certain intrauterine system might be linked to chronic vaginal yeast infections, and oral minoxidil reduces hair loss in women.
34 citations
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December 2021 in “Journal of Clinical Medicine” Men with BPH should discuss potential sexual side effects with doctors before treatment, as some treatments can affect ejaculation.
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July 2014 in “Analytical Chemistry Research” Method can accurately measure five BPH drugs at once.
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1 citations
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April 2019 in “Journal of Investigative Dermatology” VB1953 gel significantly reduced acne and resistant bacteria in patients who didn't respond to clindamycin.
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March 2026 in “ArXiv.org” This document reviews the use of large language models (LLMs) in medical reasoning, emphasizing the need for robust reasoning beyond factual recall in clinical settings. It conceptualizes medical reasoning as involving abduction, deduction, and induction, and categorizes existing methods into seven technical routes. A cross-benchmark evaluation of medical reasoning models is conducted, revealing a significant gap between exam-level performance and real-world clinical decision-making accuracy. The introduction of MR-Bench, a benchmark based on real hospital data, further highlights this discrepancy. The survey provides a comprehensive overview of current methods, benchmarks, and evaluation practices, identifying key gaps in LLM performance for clinical reasoning.