7 citations
,
March 2023 in “Arabian Journal of Chemistry” Cepharanthine may help treat COVID-19 by targeting multiple pathways.
5 citations
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December 2022 in “Viruses” Antiandrogens may help prevent or treat COVID-19 by blocking virus entry into cells.
4 citations
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August 2025 in “Molecules” Medicinal plants show promise for skin disorders but need more research for safe clinical use.
4 citations
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February 2025 in “Pharmaceuticals” Voglibose may help treat skin hyperpigmentation safely.
2 citations
,
April 2023 in “Pharmaceuticals” Scopolin and scopoletin from Merremia peltata leaves may help treat hair loss and showed promising results in rabbit tests.
January 2026 in “International Journal of Molecular Sciences” Brimonidine is effective for reducing facial redness in skin conditions and has potential for broader dermatological uses.
January 2026 in “Journal of Applied Pharmaceutical Science” Selaginella doederleinii extract shows potential for cervical cancer treatment but needs more research.
November 2025 in “Applied Research” Synthetic curcumin derivatives improve treatment for diabetes and cancer.
August 2025 in “Processes” Rosemary may help reduce dyspepsia and gastric cancer risk.
August 2025 in “Biomolecules” CBD may help with skin and hair issues, but more research is needed.
August 2025 in “ACS Omega” New compounds show promise as nonsteroidal treatments for hair loss.
Light exposure is crucial for health, helping prevent and treat illnesses.
Eriocitrin and silymarin might be effective for hair loss treatment and need more research.
July 2023 in “Journal of Clinical Medicine” Tirzepatide might help manage PCOS in obese patients but needs more research to confirm safety and effectiveness.
24 citations
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July 2021 in “Pharmaceutics” Ruxolitinib cream effectively targets and treats inflammatory skin diseases.
8 citations
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May 2025 in “Pharmaceuticals” In 2024, the FDA approved 27 innovative small-molecule drugs, with many offering significant treatment improvements.
5 citations
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June 2022 in “Frontiers in Endocrinology” Research from 2011 to 2020 shows androgen receptors could be key for prognosis and treatment in certain breast cancers.
1 citations
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February 2024 in “Diversity” African plants can treat hair issues and may help with diabetes.
February 2026 in “Health Science Reports” Understanding acne medication chemistry helps doctors treat acne better.
45 citations
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August 2005 in “Bioorganic & medicinal chemistry” New compounds with carborane showed anti-androgen effects similar to flutamide.
February 2024 in “Indian Journal of Chemistry” Compound N4 effectively kills breast cancer cells and compounds N2 and N3 have strong antibacterial and antifungal properties.
10 citations
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November 2017 in “Letters in drug design & discovery” Researchers identified promising inhibitors for the BRD4 protein, including finasteride and amentoflavone.
32 citations
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September 2018 in “Journal of pharmaceutical sciences” The model better predicts how water-loving and fat-loving substances move through the skin by including tiny pores and hair follicle paths.
August 2019 in “bioRxiv (Cold Spring Harbor Laboratory)” The model successfully predicted new uses for existing drugs, like using certain hormonal and heart medications for respiratory and Parkinson's diseases, and a cancer drug for diabetes.
18 citations
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June 1999 in “Statistical Methods in Medical Research” The document concludes that PK/PD modeling is important for determining the safe and effective dosages of drugs.
The new method provides more accurate vibrational frequencies for drug molecules than traditional models.
35 citations
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June 2017 in “Pharmaceutical research” Researchers developed a model that shows hair follicles increase skin absorption of caffeine by 20%.
January 2009 in “The Chinese Journal of Modern Applied Pharmacy” The Potts-Guy model best predicts skin permeability for the tested drugs.
11 citations
,
April 2023 in “Frontiers in Pharmacology” Integrating biological networks improves drug repurposing and ADR prediction.
8 citations
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August 2020 in “PLOS Computational Biology” A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.