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Drug repositioning offers a cost-effective, lower-risk way to treat diseases and pandemics like COVID-19.

Drug repositioning is becoming more targeted and efficient with new technologies, offering personalized treatment options and growing interest in the field.

The document concludes that computational methods using networks and various data can improve the process of finding new uses for existing drugs.

The method effectively predicts new drug uses, including potential COVID-19 treatments.

Using computers to analyze drugs can find new uses for them, but actual experiments are needed to confirm these uses.

Drug repositioning can save time and money but needs more support.

Finding new uses for existing drugs is promising and can lead to safer, more effective medicines.

Drug repositioning is a promising way to quickly develop new treatments, especially for rare diseases.

Repurposing existing drugs for COVID-19 shows promise but requires more research to confirm effectiveness.

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.

Drug repurposing can create safer, cheaper treatments by finding new uses for existing drugs.

Using existing drugs for new treatments is cost-effective and safer.

Using existing drugs for new purposes can effectively treat infections resistant to multiple antibiotics.

Finasteride and dutasteride's effects are mainly due to target binding saturation and slow enzyme turnover.

Repurposing existing drugs can improve cancer treatment but faces challenges.

Computer-aided methods can speed up COVID-19 drug discovery and help find new uses for existing drugs.

Balancing testosterone may reduce COVID-19 severity.

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 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.

The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.

Arteannuin might work against cancer and Alzheimer's by targeting neprilysin.

Hair follicles could be used for targeted drug delivery, with liposomal systems showing promise for this method.

Some drugs can cause skin and hair color changes, often reversible when the drug is stopped.

3D-printed mesoporous scaffolds show promise for personalized drug delivery with controlled release.

The hydrogel significantly improves healing in diabetic wounds.

Computational tools identified 29 drugs that could potentially target 19 genes involved in chemotherapy-induced hair loss, which could lead to more effective treatments.

Drug repositioning offers hope for new, affordable treatments for a genetic skin disorder called ARCI.

HAC and BAC improve skin targeting and reduce diffusion without causing irritation.