AnnoPharma effectively identifies substances causing adverse drug reactions in medical abstracts.
January 2024 in “Research Square (Research Square)” The research identified genes linked to male-pattern baldness and potential drug targets for treatment.
April 2026 in “International Journal of Engineering Research and Science & Technology” The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.
3 citations
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November 2023 in “Frontiers in Neurology” The U.S., China, and the U.K. lead Alzheimer's and white matter research.
October 2022 in “Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature”
August 2025 in “International Journal of Research in Dermatology” Better standardization and transparency in statistical reporting are needed to improve hair care research quality.
July 2024 in “Journal of Investigative Dermatology” Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
2 citations
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November 2025 in “Briefings in Bioinformatics” Data-driven methods can effectively identify existing drugs for new uses, especially in cancer, infections, and respiratory diseases.
8 citations
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April 2024 in “Psychoneuroendocrinology” The model predicts minoxidil's effectiveness and side effects better than traditional methods.
January 2024 in “Zenodo (CERN European Organization for Nuclear Research)” The conclusion is that certain traits, including perceived facial aging and BMI, are linked to how youthful people look, with some differences between males and females.
iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
November 2012 in “Econometric Theory” Herman Bierens had a successful career in econometrics, contributed to education, and plans to continue research after retirement.
September 2018 in “Value in Health” Cochrane and non-Cochrane drug safety reviews report well in PRISMA but poorly in PRISMA harms, with non-Cochrane needing improvement.
January 2026 in “Figshare” January 2026 in “Figshare”
29 citations
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January 2021 in “Translational Psychiatry” The research suggests that Tourette syndrome is linked to both brain signaling and immune system pathways.
Social media data can help track and predict COVID-19 symptoms and trends.
September 2025 in “Journal of the American Academy of Dermatology” Some JAK inhibitors are effective for significant hair regrowth in alopecia areata.
Pangenome analysis reveals key genes for pig adaptation and traits, aiding genetic improvement.
October 2017 in “European Neuropsychopharmacology”
47 citations
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August 2014 in “The Journal of Clinical Endocrinology and Metabolism” The research suggests that the global distribution of PCOS is likely due to historical human migration and that genes affecting PCOS may have different impacts on males and females.
12 citations
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December 2013 in “The Journal of Urology” Men's age, urinary symptoms, and heart health risks create different types of erectile dysfunction.
April 2026 in “Frontiers in Marine Science” Guadalupe fur seals at San Benito Archipelago face high mortality and health issues due to pollution and marine debris.
February 2026 in “Clinical Cosmetic and Investigational Dermatology” Alopecia areata cases in children are rising, especially in females and low-income regions, with a projected increase in China and decrease in the USA.
January 2018 in “Computational Toxicology” Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.
Combining biomarker analysis and advanced algorithms improves hair loss detection accuracy.
June 2025 in “International Journal of Computational Intelligence Systems” The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
2 citations
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January 2024 in “Journal of Emerging Investigators” A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
March 2024 in “Research Square (Research Square)” Combining genetic and physical trait analysis improves diagnosis accuracy for monogenic diabetes.