January 2024 in “Research Portal Denmark” Artificial hair fibers improve drug delivery accuracy through skin models.
L-PGDS has specific binding sites for its functions and could help in drug delivery system design.
36 citations
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June 2019 in “eLife” The study developed a tool to predict how gut microbes process foods and drugs, showing that similar compounds often share metabolic pathways and effects.
iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
January 2022 in “Physics and Chemistry of Liquids”
Reviewers criticized the study for assuming drugs with similar side-effects work the same way and questioned the validity of its findings due to potential biases and data quality issues.
11 citations
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September 2024 in “Journal of Advanced Research” 3D-bioprinting models of pancreatic cancer could help personalize treatments but need more testing.
Different crystal forms of drugs can change their effectiveness.
18 citations
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January 2020 in “Frontiers in Chemistry” A new model can predict drug-disease links well, helping drug research.
2 citations
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January 1997 in “Principles of Medical Biology” Drug metabolism affects how long a drug works, its interactions, activation, and toxicity, and is influenced by genetics, diet, illness, and other drugs.
1 citations
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November 2022 in “Pharmaceutical research” The simulation showed that hypobaric pressure improves drug delivery through the skin, but stretching alone doesn't fully explain the increase.
1 citations
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June 2023 in “ScienceRise Pharmaceutical Science” A semi-automated system can effectively help choose emulsion ingredients, simplifying the creation of medicinal and cosmetic products.
Minoxidil is strongly linked to heart problems, and machine learning can improve drug safety checks.
January 2011 in “Rutgers University Community Repository (Rutgers University)” A new method organizes drug information to improve data use and create a comprehensive drug database.
The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
26 citations
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January 2014 in “ALTEX” Pesticides can cause reproductive and adrenal health issues.
9 citations
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August 2023 in “Molecules” Two peptides, RMYYY and VMYMI, may be effective anti-inflammatory drugs.
180 citations
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February 2023 in “Journal of Chemical Information and Modeling” Chemistry42 effectively creates and optimizes new molecules for drug discovery.
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
26 citations
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September 2024 in “Perspectives in Clinical Research” Drug repurposing offers faster, cheaper drug development but faces challenges like safety, ethics, and funding.
December 2025 in “Brazilian Journal of Chemical Engineering”
January 2023 in “Anais do Congresso Brasileiro Interdisciplinar em Ciência e Tecnologia.” Optimizing the method improved minoxidil measurement accuracy and efficiency.
November 2025 in “Zenodo (CERN European Organization for Nuclear Research)” Drug repurposing finds new uses for old drugs quickly and cheaply.
November 2025 in “Zenodo (CERN European Organization for Nuclear Research)” Repurposing existing drugs can quickly and cheaply find new treatments.
June 1967 in “Journal of Cellular Physiology” The 3D hair follicle model improves understanding of hair growth and drug testing.
67 citations
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July 2000 in “Proceedings of the National Academy of Sciences” The model accurately simulates human hair growth and hair loss patterns.
82 citations
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January 1997 in “Forensic science international” Drugs can be incorporated into hair based on their chemical properties and hair pigmentation.
3 citations
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February 2021 in “Experimental dermatology” Dermal papilla microtissues could be useful for initial hair growth drug testing.
July 2025 in “Scientific Reports” Pioglitazone, Trimipramine, and Dimetindene may be repurposed to treat psoriasis.
Reviewers criticized the study's methods and suggested focusing on drug mechanisms instead of repositioning due to social media data quality concerns.