48 citations
,
August 2022 in “Chemical Biology & Drug Design” Computer-aided methods can speed up COVID-19 drug discovery and help find new uses for existing drugs.
20 citations
,
May 2023 in “Cancer Nanotechnology” The new drug delivery system effectively targets lung cancer cells.
15 citations
,
November 2024 in “Pharmaceutics” Peptide drugs now target hard-to-reach proteins more effectively and specifically.
15 citations
,
June 2024 in “Frontiers in Pharmacology” Using existing drugs for new purposes can effectively treat infections resistant to multiple antibiotics.
8 citations
,
August 2018 in “International Journal of Dermatology” The document concludes that doctors should carefully consider off-label drug use in dermatology and always inform patients, while more research is needed on the safety and effectiveness of such practices.
The model predicts minoxidil's effectiveness and side effects better than traditional methods.
Reviewers criticized the study's methods and suggested focusing on drug mechanisms instead of repositioning due to social media data quality concerns.
Reviewers suggested the study on finding new drug uses through social media side-effects needs better methods and clearer limitations.
The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
The peer review highlighted the need for clearer data handling, questioned the study's validity, and recognized improvements from the original version.
Reviewers criticized the study for its assumptions, social media data collection issues, and lack of comparison to existing methods.
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 “International Journal of Molecular Sciences” Brimonidine is effective for reducing facial redness in skin conditions and has potential for broader dermatological uses.
8 citations
,
July 2023 in “Frontiers in Pharmacology” Cepharanthine shows promise as a COVID-19 treatment.
January 2025 in “International Journal of Nanomedicine” Rosemary-based gel with metformin may effectively treat hair loss like minoxidil.
3 citations
,
April 2023 in “Frontiers in Pharmacology” ATP-sensitive K+ channel subunits, particularly Sur2A, play a significant role in various cancers.
April 2025 in “Clinical and Translational Discovery” The ketoconazole gel improved hair growth and is a promising treatment for hair loss.
110 citations
,
February 2024 in “Journal of Chemical Information and Modeling” PandaOmics uses AI to find new disease treatment targets and biomarkers.
34 citations
,
November 2023 in “Applied Materials Today” Nanoemulsions can effectively treat skin cancer with fewer side effects.
9 citations
,
March 2023 in “Biomimetics” New materials that better mimic natural skin structure could improve healing, especially for chronic wounds.
39 citations
,
August 2022 in “Pharmaceutics” Combining letrozole and quercetin in spanlastics may improve breast cancer treatment.
25 citations
,
July 2022 in “Pharmaceutics” Spanlastic nanovesicles can improve efinaconazole delivery through nails.
11 citations
,
April 2025 in “Pharmaceutics” New treatments like plant extracts, nanocarriers, and 3D bioprinting show promise for hair loss, but more research is needed.
May 2025 in “International Journal of Applied Pharmaceutics” Nanocarriers could improve hair loss treatments by delivering drugs directly to hair follicles.
October 2025 in “International Journal of Molecular Sciences” Rebamipide may help regrow hair by activating hair follicle stem cells.
44 citations
,
February 2021 in “Scientific Reports” Mutations in the spike protein affect drug binding and effectiveness.
3 citations
,
July 2022 in “Problemy èndokrinologii” Metformin, a diabetes drug, may also help fight cancer, but more research is needed to understand how.
1 citations
,
November 2018 in “Therapeutic Delivery” New partnerships, clinical trials, and drug approvals marked progress in therapeutic delivery in July 2018.
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.
12 citations
,
January 2022 in “The Egyptian Journal of Internal Medicine” Continued vaccine and drug development is crucial due to new virus variants and regional infection spikes.