This study found that a data-driven model using XGBoost effectively predicts individualized responses to minoxidil for androgenetic alopecia, outperforming traditional methods in accuracy and reliability.
November 2025 in “Zenodo (CERN European Organization for Nuclear Research)” This review outlines the evolution and strategies of drug repurposing, highlighting its transformation from accidental discoveries to a predictive, data-driven discipline through the integration of bioinformatics and artificial intelligence, with notable applications during the COVID-19 pandemic.
November 2025 in “Zenodo (CERN European Organization for Nuclear Research)” This review outlines the evolution of drug repurposing from accidental discoveries to a systematic approach enhanced by genomics and data analytics, emphasizing its accelerated relevance during the COVID-19 pandemic and exploring its global and Indian milestones, computational strategies, and future regulatory perspectives.
3 citations
,
September 2024 in “Journal of the European Academy of Dermatology and Venereology” This article highlights both the opportunities and challenges of using big data in dermatology, noting potential benefits like improved diagnostics and public health monitoring, alongside challenges such as data quality and AI training disparities.
2 citations
,
December 2018 in “Novos Estudos Jurídicos” This article examines the emergence of predictive analytics with big data and concludes that Foucault's concept of biopower is now a hybrid involving various technologies to monitor and model behavior and risk.
