research Cepharanthine: A Review of the Antiviral Potential of a Japanese-Approved Alopecia Drug in COVID-19
Cepharanthine could be a strong antiviral against COVID-19.
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research A Machine Learning and Network Framework to Discover New Indications for Small Molecules
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.
research A Machine Learning and Network Framework to Discover New Indications for Small Molecules
The model successfully predicted new uses for existing drugs, like using certain hormonal and heart medications for respiratory and Parkinson's diseases, and a cancer drug for diabetes.
research Efficacy of Topical Vorinostat in the Reversal of Alopecia Areata
Topical Vorinostat shows promise for treating alopecia areata by promoting hair regrowth.
research An Antifungal for Antidiuresis? Fluconazole's Potential in Treating Nephrogenic Diabetes Insipidus
Fluconazole might be a new treatment for a type of diabetes that affects water balance in the body.
research Computational Screening of Repurposed Drugs and Natural Products Against SARS-CoV-2 Main Protease as Potential COVID-19 Therapies
Some existing drugs and natural products might work against COVID-19 by targeting the virus's main protease.
research Transforming 300 Billion Points of Data into Diagnostics, Therapeutics, and New Insights into Disease
Large data can lead to new medical discoveries and personalized medicine.
research Drug Repositioning: New Opportunities for Older Drugs
Finding new uses for existing drugs is promising and can lead to safer, more effective medicines.
research Repurposing of Approved Cardiovascular Drugs
Some heart drugs show promise for other conditions, but more research is needed to confirm their effectiveness and safety.
research Network-Based Drug Repositioning: Approaches, Resources, and Research Directions
The document concludes that computational methods using networks and various data can improve the process of finding new uses for existing drugs.
research Medication Repurposing: New Uses for Old Drugs
Old drugs can be used for new treatments, saving time and money, but there are challenges like needing more evidence and legal concerns.
research Drug Repositioning Using In Silico Compound Profiling
Using computers to analyze drugs can find new uses for them, but actual experiments are needed to confirm these uses.
research Evaluation of Contamination and Quantification of Drug Penetration Studies Using Quantitative Mass Spectrometry Imaging
QMSI is a valuable method for studying drug penetration in skin tissues.
research Repurposing Steroidogenesis Inhibitors for the Therapy of Neuropsychiatric Disorders: Promises and Caveats
Drugs for hormone-related conditions might help treat mental disorders but could have serious side effects.
research High-Content Drug Screening for Rare Diseases
High-content screening is useful for finding new treatments for rare diseases and has led to FDA-approved drugs.
research Spironolactone and XPB: An Old Drug with a New Molecular Target
Spironolactone, a heart and liver drug, has new uses including cancer treatment, viral infection prevention, and skin condition improvement.
research Entrepreneurship in Off-Label Drug Prescription: Just What the Doctor Ordered!
The conclusion is that off-label drug use can lead to important medical discoveries and improve patient care.
research Identification of Neprilysin as a Potential Target of Arteannuin Using Computational Drug Repositioning
Arteannuin might work against cancer and Alzheimer's by targeting neprilysin.
research Inhibition of SARS-CoV-2 Entry Through the ACE2/TMPRSS2 Pathway: A Promising Approach for Uncovering Early COVID-19 Drug Therapies
Blocking the virus's entry into cells by targeting certain pathways could lead to early COVID-19 treatments.
research Advances in the Treatment of Autosomal Recessive Congenital Ichthyosis: A Look Towards the Repositioning of Drugs
Drug repositioning offers hope for new, affordable treatments for a genetic skin disorder called ARCI.
research Peer Review of Computational Drug Repositioning Based on Side-Effects Mined from Social Media
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.
research Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
A new model can predict drug-disease links well, helping drug research.
research The Pattern of Off-Label and Unlicensed Drug Use in Adult and Pediatric Patients in the Kingdom of Saudi Arabia: Multicenter Retrospective Study
Most off-label drug prescriptions in Saudi Arabia are for adults with depression and diabetes.
research Nanospanlastic as a Promising Nanovesicle for Drug Delivery
Nanospanlastics are effective in targeted drug delivery for chronic diseases, improving skin conditions, treating hair loss, and increasing drug absorption.
research Peer Review of Computational Drug Repositioning Based on Side-Effects Mined from Social Media
The peer review highlighted the need for clearer data handling, questioned the study's validity, and recognized improvements from the original version.
research Peer Review of Computational Drug Repositioning Based on Side-Effects Mined from Social Media
Reviewers suggested the study on finding new drug uses through social media side-effects needs better methods and clearer limitations.
research Peer Review of Computational Drug Repositioning Based on Side-Effects Mined from Social Media
The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
research Peer Review of Computational Drug Repositioning Based on Side-Effects Mined from Social Media
Reviewers criticized the study's methods and suggested focusing on drug mechanisms instead of repositioning due to social media data quality concerns.
research Peer Review of Computational Drug Repositioning Based on Side-Effects Mined from Social Media
Reviewers criticized the study for its assumptions, social media data collection issues, and lack of comparison to existing methods.
research Predictive Modeling of Patient Response to JAK/STAT Inhibitors and Dynamic Patient-Matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.