Search

everythinglearnresearchcommunity

for

Search:↓

Reviewers criticized the study's methods and suggested focusing on drug mechanisms instead of repositioning due to social media data quality concerns.

The reconstructed skin model from hair follicles functions like human skin in processing chemicals and can be used to test ingredient safety.

Machine learning helps find new uses for existing drugs, improving healthcare.

The data set helps improve predictions of how substances are absorbed through pig skin.

Optimized liposomes can improve drug delivery and effectiveness.

A reliable method was developed to measure Finasteride and Tadalafil in rat blood.

The hair follicle is a great model for research to improve hair growth treatments.

Finasteride is high-risk for cognitive disorders, while Carbidopa/Levodopa, Topiramate, and Clonazepam are moderate-risk.

Most drugs fail to reach the market, but understanding their properties and using strategies like early toxicity tests and drug repurposing can help advance their development.

The model successfully simulates human hair growth and patterns, including hair loss types.

Case-only trees and random forests improve predictions of treatment effects in clinical trials.

The authors created a realistic and efficient method to simulate hair movement by combining fluid dynamics with individual hair strand behavior.

The model helps understand and improve treatments for alopecia areata by simulating hair growth and immune cell interactions.

Hair follicles can regenerate after radiation damage but not during a specific growth phase.

Both HPSAM and PLS methods accurately measure minoxidil and tretinoin concentrations.

A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.

Barophoresis is a feasible and safe method for treating chronic generalized periodontitis.

Electrostatic interactions mainly stabilize the binding of peptides to hair keratin.

Organoid technology is improving personalized medicine by better predicting drug responses and treatments.

The model helps understand alopecia areata and suggests ways to improve treatment by targeting immune issues.

Reviewers suggested the study on finding new drug uses through social media side-effects needs better methods and clearer limitations.

Computational methods can speed up and improve the development and safety of herbal drugs.

The research found how certain drugs and polymers form stable complexes, which could help develop new pharmaceutical forms.

The current system can't fully test all combination treatments, so alternative methods and regulatory flexibility are needed.

A few users dominate Reddit discussions on JAK inhibitors, highlighting social media's potential for tracking drug safety but needing expert oversight.

New technologies replicate human skin for testing without animals.

Diphencyprone initially increases mouse hair growth, then slows it, possibly due to changes in specific protein levels.

Researchers improved a method to more accurately estimate when and how long a drug was taken using hair analysis.