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Journal of Biomedical Systems & Emerging Technologies

ISSN: 2952-8526

Open Access

Matt Donovan

Department of Biomedical Engineering, Columbia University, New York, USA

Publications
  • Mini Review   
    The Role of Machine Learning in Enhancing Biomedical Systems for Personalized Medicine
    Author(s): Matt Donovan*

    Machine Learning (ML) is revolutionizing biomedical systems, playing a pivotal role in advancing personalized medicine. By leveraging algorithms that learn from and make predictions based on data, ML is transforming how healthcare is delivered, making it more tailored to individual needs and improving overall outcomes. The integration of machine learning into biomedical systems has expanded the capabilities of personalized medicine, enabling more precise diagnoses, customized treatments, and improved patient management. The journey of machine learning in biomedical systems began with its application to large datasets, where traditional methods struggled to derive meaningful insights. Biomedical data, which includes genetic information, clinical records, and imaging data, is often complex and voluminous. Traditional statistical methods, while useful, often fall .. Read More»
    DOI: 10.37421/2952-8526.2024.11.207

    Abstract HTML PDF

Google Scholar citation report
Citations: 43

Journal of Biomedical Systems & Emerging Technologies received 43 citations as per Google Scholar report

Journal of Biomedical Systems & Emerging Technologies peer review process verified at publons

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