2 citations
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May 2023 in “International Journal of Molecular Sciences” Gene expression in hair follicles can help diagnose methamphetamine use disorder.
1 citations
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January 2022 in “Monaldi archives for chest disease” After severe COVID-19, lung damage can improve, detected effectively by lung-ultrasound, and high pressure support during hospitalization can increase lung artery size. Also, about 22% of patients had lung blood clots, and when treated, they recovered faster.
February 2026 in “Pharmaceuticals” KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
September 2025 in “The Open Dermatology Journal” The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
November 2023 in “Advances and Applications in Statistics” AI can effectively predict COVID-19 mortality risk using patient data.
January 2012 in “Journal of Clinical Medicine in Practice” The treatment is safe and effective for elderly patients with advanced non-small-cell lung cancer.
January 2005 in “Journal of Elinical Research” The two finasteride preparations are bioequivalent.
January 2003 in “The Chinese Journal of Clinical Pharmacology” The two finasteride tablets are bioequivalent.
January 2025 in “Mansoura Medical Journal” Serum IMA levels don't help diagnose AGA but may indicate its severity.
January 2007 in “Pharmaceutical Journal of Chinese People's Liberation Army” The two finasteride tablets are bioequivalent.
158 citations
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January 2015 in “Artificial Intelligence in Medicine” DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
133 citations
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February 2017 in “PLoS Genetics” Genetic factors can help predict male pattern baldness risk.
106 citations
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February 2014 in “eLife” Lanceolate complexes in mouse hair follicles are essential for touch and depend on specific cells for maintenance and regeneration.
71 citations
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January 2014 in “Journal of Proteome Research” Women with PCOS have different levels of certain fats and proteins in their blood, which could help diagnose the condition.
37 citations
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August 2020 in “BMC Genomics” Hair greying is mainly influenced by age, with genetics playing a smaller role.
34 citations
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June 2005 in “Developmental dynamics” Runx3 helps determine hair shape.
30 citations
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January 2019 in “Clinical Endocrinology” The study concluded that both anti-Mullerian hormone and LH/FSH ratio are higher in women with PCOS and combining these markers with BMI could improve diagnosis accuracy.
21 citations
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March 2021 in “Molecules” The new formulation greatly improved quercetin absorption in rats.
20 citations
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August 2023 in “Saudi Pharmaceutical Journal” Niosomes can effectively deliver cetirizine topically for treating alopecia.
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June 2023 in “Pharmaceuticals” Inflammasome proteins may help diagnose and treat Parkinson's disease.
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January 2010 in “Drug Metabolism and Pharmacokinetics” Finasteride's effect on hair loss and prostate enlargement depends on its binding to an enzyme, with maximum impact at 0.2 mg dose.
14 citations
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November 2024 in “Pharmaceuticals” Spanlastic nano-vesicles improve famotidine's effectiveness and absorption.
12 citations
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March 2021 in “Molecules” Cedrol Nanoemulsion was found to be more effective at promoting hair growth than traditional treatments and had better bioavailability.
11 citations
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June 2020 in “Biomedicines” % free PSA and urinary markers help better identify prostate cancer.
11 citations
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January 2017 in “Journal of Endocrinology/Journal of endocrinology” Female mice with disrupted 5α-reductase 1 had significant metabolic issues, including stress response problems, insulin resistance, liver fat buildup, and obesity.
11 citations
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September 2010 in “PubMed” DHA-NLC may improve drug delivery and reduce side effects for cancer treatment.
8 citations
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March 2023 in “International Wound Journal” IGF2BP3 and other m6A-related genes are linked to keloid formation and could be potential treatment targets.
8 citations
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December 2022 in “Journal of Translational Medicine” WNMFDDA effectively predicts drug-disease associations.
8 citations
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August 2020 in “PLOS Computational Biology” 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.
6 citations
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February 2025 in “International Journal of Molecular Sciences” The new system greatly improves carvedilol's solubility and effectiveness.