Search

everythinglearnresearchcommunity

for

Search:↓

Afatinib, neratinib, and zanubrutinib could be effective against KRASG12C-mutant tumors.

Drug repurposing finds new uses for old drugs quickly and cheaply.

Repurposing existing drugs can quickly and cheaply find new treatments.

Psoriasis patients are more likely to develop alopecia areata due to complex autoimmune interactions.

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

Old psychiatric drugs are increasingly being used for new purposes, and technologies like SmartCube® help create new drugs.

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

The hydrogel effectively treats infected burn wounds by reducing pain and preventing infection.

Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.

The method accurately measures the amount of ketoconazole in anti-dandruff shampoo and cream, and can also be used to monitor the drug in human plasma.

Drug repurposing offers a faster, cheaper way to find treatments for rare diseases.

COVID-19 and its vaccines can cause various skin issues due to viral effects, immune responses, and stress.

Patients found AI helpful for alopecia diagnosis but want it to support, not replace, doctors.

iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.

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.

WNMFDDA effectively predicts drug-disease associations.

The KEBOT system is a highly accurate AI tool for analyzing hair transplants.

Data-driven methods can effectively identify existing drugs for new uses, especially in cancer, infections, and respiratory diseases.

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.

The model predicts minoxidil's effectiveness and side effects better than traditional methods.

PandaOmics uses AI to find new disease treatment targets and biomarkers.

5-alpha reductase inhibitors and spironolactone don't increase gynecological tumor risk, glucagon-like-peptide-1 receptor agonists may increase alopecia risk, sanitary pads can cause dermatitis, early hidradenitis suppurativa intervention is crucial for Hispanic patients, community education boosts skin cancer awareness, metformin may improve skin cancer survival, LNG-IUDs can increase acne risk, machine learning accurately detects basal cell carcinoma, JAK-inhibitors may raise miscarriage risk, inclusive skincare ads affect those with darker skin, and CCCA in Black women might involve autoimmunity.

AI and AR are improving cosmetic dermatology but face challenges like data quality and ethical concerns.

People with androgenetic alopecia often experience more anxiety, depression, and lower self-esteem.

Scientists found a new gene in a bacterium that can modify an immunosuppressant drug, potentially helping to treat hair loss.

Pyrene excimer nucleic acid probes are promising for detecting biomolecules accurately with potential for biological research and drug screening.