January 2026 in “Pharmaceutics” Nanotechnology in skincare improves ingredient stability, skin penetration, and controlled release for better cosmetic solutions.
November 2025 in “Free Radical Biology and Medicine” SOD1 and KL are promising targets for new hair loss treatments.
October 2025 in “Frontiers in Artificial Intelligence” "HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
October 2025 in “Influenza and Other Respiratory Viruses” Certain alkaloids could help create new coronavirus drugs.
April 2025 in “Frontiers in Medicine” Strabismus research has advanced with AI diagnostics, minimally invasive surgeries, and non-surgical treatments, led by the USA, China, and the UK.
April 2025 in “Science Journal of University of Zakho” Inflammatory diets may increase the risk and severity of alopecia areata.
January 2025 in “Health engineering.” Combining stem cells and organoids could improve skin regeneration treatments.
June 2020 in “Journal of Investigative Dermatology” The symposium highlighted the importance of genetics in understanding and treating complex skin diseases.
19 citations
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May 2016 in “Biology Direct” A new method, iSiMPRe, effectively identifies key protein regions in cancer genes, highlighting potential drug targets.
22 citations
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June 2021 in “Plants” Sterculia foetida seed extract shows promise for therapeutic use due to its anti-inflammatory and pain-relief properties.
19 citations
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May 2022 in “International journal of molecular sciences” PRX01, PRX44, and PRX73 are essential for root hair growth in Arabidopsis thaliana.
19 citations
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March 2016 in “Frontiers in Plant Science” Spermidine is essential for plant growth and adaptation to stress.
18 citations
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February 2025 in “Macromolecular Rapid Communications” Thermo-responsive polymers in nanoparticles enable targeted drug delivery and advanced therapies by releasing drugs at specific temperatures.
12 citations
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November 2023 in “Medicine” AI in dermatology is growing rapidly, showing promise in diagnosing skin conditions as accurately as dermatologists.
8 citations
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October 2013 in “Chemistry Central Journal” Metabolite 7 is a strong inhibitor for Alzheimer's disease management.
3 citations
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June 2023 in “Frontiers in Medicine” A new model uses specific blood markers to predict if children's hair loss will return.
2 citations
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November 2025 in “Pharmacology Research & Perspectives” Avacopan may cause unexpected side effects, so early monitoring is important.
1 citations
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June 2022 in “Pharmaceutics” Minoxidil's absorption is too variable for it to be a reliable reference drug.
February 2026 in “Pharmaceuticals” KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
December 2025 in “International Journal of Molecular Sciences” Bacopa procumbens extract may help protect the brain in Parkinson's disease.
Teak leaf extract can help treat hair loss, and its effectiveness varies by geographic origin.
March 2025 in “Nature Communications” NSC167409 can effectively inhibit the virus causing hand, foot, and mouth disease.
February 2024 in “Medicina” AFM can diagnose hair disorders by revealing detailed hair surface changes.
4 citations
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October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
August 2025 in “Processes” Rosemary may help reduce dyspepsia and gastric cancer risk.
June 2025 in “Journal of Cosmetic Dermatology” AI improves aesthetic medicine but faces challenges like biases and privacy issues that need addressing for successful integration.
112 citations
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October 2008 in “Wound Repair and Regeneration” Sonic hedgehog signaling is crucial for normal wound healing.
14 citations
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November 2024 in “Pharmaceuticals” Spanlastic nano-vesicles improve famotidine's effectiveness and absorption.
February 2024 in “Journal of Molecular Structure” The new minoxidil and salicylic acid hydrogel improves alopecia treatment.
50 citations
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May 2020 in “FEBS Letters” New techniques improve understanding of cell cycle dynamics at the single-cell level.