November 2020 in “Journal of Pharmaceutical Sciences” The decision tree can predict drug absorption issues with good accuracy but needs more validation and adjustments for other factors.
14 citations
,
August 2018 in “Journal of Pharmaceutical and Biomedical Analysis” 9 citations
,
March 2022 in “Journal of Chemical Information and Modeling” New inhibitors may reduce gut toxicity from cancer drugs.
1 citations
,
January 2026 in “Frontiers in Cell and Developmental Biology” AI improves biomaterial design by making it faster, cheaper, and more effective for personalized medicine.
50 citations
,
December 2017 in “Nanoscale” Polymeric micelle nanocarriers deliver adapalene more effectively to hair follicles than commercial products.
75 citations
,
June 2007 in “Journal of Biological Chemistry” MT-DADMe-ImmA can selectively kill head and neck cancer cells without harming normal cells.
39 citations
,
November 2015 in “Nanomedicine” Improved Finasteride delivery for hair loss treatment.
April 2025 in “Scientific Reports” Astragaloside A may help fight lung cancer by targeting specific proteins.
January 2019 in “FarFar - Pharmacy Repository” Microemulsions improve adapalene's skin absorption for better acne treatment.
The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
54 citations
,
January 2021 in “Biophysics Reports” Cell-based screening methods are useful and cost-effective for drug discovery but have pros and cons.
January 2026 in “Journal of Materials Chemistry B” TA-Ado effectively promotes hair growth and reduces hair loss.
4 citations
,
July 2023 in “Journal of Cosmetic Dermatology” Adapalene microemulsions improve drug delivery through hair follicles, enhancing acne treatment.
38 citations
,
June 2018 in “Archives of Toxicology” Different species and human skin models vary in their skin enzyme activities, with pig skin and some models closely matching human skin, useful for safety assessments and understanding the skin's protective roles.
2 citations
,
November 2018 in “Indian Journal of Pharmaceutical Education” The developed model can predict effective 5-alpha-reductase enzyme inhibitors.
1 citations
,
July 2020 in “Reviews in separation sciences”
158 citations
,
January 2015 in “Artificial Intelligence in Medicine” DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
June 2017 in “DOAJ (DOAJ: Directory of Open Access Journals)” Combining finasteride with dimethyl-β-cyclodextrin improves its absorption and bioavailability.
1 citations
,
June 2025 in “Cell Biochemistry and Biophysics” 46 citations
,
October 2022 in “Biomaterials”
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.
23 citations
,
June 2017 in “Drug Design Development and Therapy” Cyclodextrins improve finasteride's solubility and bioavailability for hair loss treatment.
1 citations
,
July 1990 in “European Journal of Pharmacology” 3 citations
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August 2010 in “Letters in Drug Design & Discovery” 26 citations
,
January 2014 in “ALTEX” Pesticides can cause reproductive and adrenal health issues.
January 2018 in “Computational Toxicology” Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.
July 2024 in “Journal of Investigative Dermatology” INTASYL is a promising, adaptable RNAi technology for treating skin cancers.
March 2025 in “International Journal For Multidisciplinary Research” Computational techniques can improve drug development for treating certain conditions.
13 citations
,
October 2017 in “Bioorganic & Medicinal Chemistry” Optimizing the structure of a specific compound greatly improved its effectiveness and precision for treating diabetic complications.
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.