Search

everythinglearnresearchcommunity

for

Search:↓

A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.

Drug repurposing is a cost-effective way to find new uses for existing drugs, speeding up treatment development.

Different skin cells process testosterone differently, and certain drugs can change this process, possibly helping treat acne and hair loss.

The Wnt/β-catenin pathway helps tissue regeneration but can also cause fibrosis, and drugs that inhibit this pathway may aid in healing skin and heart tissues.

Microneedles are effective for painless drug delivery and promoting wound healing and tissue regeneration.

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

High-content screening is useful for finding new treatments for rare diseases and has led to FDA-approved drugs.

Finasteride inhibits enzyme activity in rhesus macaques, suggesting they're useful for evaluating similar drugs.

The study found key factors in the cause of hidradenitis suppurativa, its link to other diseases, and identified existing drugs that could potentially treat it.

Certain genetic variations are linked to higher liver enzyme levels in patients treated for chronic hepatitis C with specific drugs.

The Shen Bai Hair Growing Decoction may help treat hair loss by promoting hair growth and reducing inflammation.

Some newly made compounds are promising for treating enlarged prostate, hair loss, viruses, and prostate cancer, and might be better than current drugs.

Tacrolimus causes fewer acute rejections than cyclosporin A in kidney transplants but doesn't necessarily improve kidney function after one year; cardiovascular risks and side effects vary between the two drugs.

Type 2 diabetes in youth is increasing, with high treatment failure rates and more severe than Type 1; certain drugs can lower lipid levels effectively with varying side effects, and apples may benefit heart health like statins but with fewer side effects.

Using a combination of specific cell cycle regulators is better for safely keeping hair root cells alive indefinitely compared to cancer-related methods.

Certain drugs like Dutasteride and Finasteride might help fight SARS-CoV-2 by increasing levels of a steroid called DHEA, which can protect the heart and increase nitric oxide to counteract the virus.

The enzymes Tet1, Tet2, and Tet3 are important for the development of hair follicles and determining hair shape by controlling hair keratin genes.

Certain long non-coding RNAs in cashmere goats affect hair growth when treated with a specific growth factor.

The hair follicle dermal sheath is essential for hair shedding and needs to communicate with the outer root sheath for normal hair growth cycles.

Niosomes are a promising, stable, and cost-effective drug delivery system with potential for improved targeting and safety.

The PDGF/PDGFR pathway is a potential drug target with mixed success in treating various diseases, including some cancers and fibrosis.

New treatments targeting specific genes show promise for treating keratin disorders.

We need more research to better understand human hair follicle stem cells for improved treatments for hair loss and skin cancer.

Created material boosts hair growth and kills bacteria for wound healing.

The document concludes that there are no effective clinical treatments for hearing loss due to hair cell damage, but research is ongoing.

Anticancer drugs like methotrexate and trimetrexate could be effective and safe for treating malaria at low doses.

The TCL1 transgenic mouse model is useful for understanding human B-cell leukemia and testing new treatments.

Two drugs, ritlecitinib and brepocitinib, improved scalp hair loss condition markers.

RNA delivery is best for in-body use, while RNP delivery is good for outside-body use. Both methods are expected to greatly impact future treatments.

Hair growth is influenced by factors like genetics and nutrition, and more research is needed to understand hair loss and growth mechanisms.