Artificial intelligence (AI) and big data are revolutionizing infectious disease management by enhancing the speed and accuracy of diagnosis, treatment, and outbreak prediction. Through the application of artificial intelligence and big data in infectious disease management, AI algorithms are used to analyze vast amounts of data, such as patient records, genetic sequences, and epidemiological trends, to identify patterns and predict potential outbreaks. Big data allows healthcare systems to make informed decisions based on real-time information, improving resource allocation and response times. By leveraging machine learning models, healthcare providers can personalize treatment plans and detect infections earlier, leading to better patient outcomes. The integration of AI and big data is essential for creating more efficient, proactive approaches to managing infectious diseases globally.
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Reza Nassiri, Michigan State University, United States
Title : Current topics of adult COVID-19, Influenza, and RS virus patients in Japan
Seki Masafumi, Saitama Medical University International Medical Center, Japan
Title : Novel nanotechnology and its potential applications
Stephen Hsu, Augusta University, United States
Title : 2000 years of pandemics: Past, present and future
Claudia Ferreira, Biophytis Sorbonne, France