Artificial Intelligence in Disease Surveillance

The emergence of numerous infectious diseases in the twenty-first century has made it essential to monitor outbreaks quickly before they cost lives and spread throughout the community.
Go to the profile of Dr. Ramendra Pati Pandey
Dr. Ramendra Pati Pandey
Professor, SRM University, Delhi-NCR, Sonepat
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 Rapid outbreak monitoring to prevent widespread health crises 
has become necessary for the emergence of numerous infectious 
diseases, especially antimicrobial resistance. Effective disease control 
relies on surveillance methods tailored to clinical approaches and 
epidemiology, considering evolving pathogens, at-risk populations, and 
ongoing mortality and morbidity data. Drug-resistant microorganisms 
have surged, compromising treatment efficacy and threatening global 
healthcare systems. Artificial Intelligence (AI) offers transformative 
potential in healthcare and microbiology by improving diagnostic 
accuracy, expediting drug discovery, and combating antimicrobial 
resistance. AI’s rapid analysis of genetic sequences enhances pathogen 
identification, while its predictive capabilities streamline drug 
development, thus supporting global health efforts. 

Go to the profile of Dr. Ramendra Pati Pandey
Dr. Ramendra Pati Pandey
Professor, SRM University, Delhi-NCR, Sonepat

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