Natural disasters often lead to significant disruptions in healthcare delivery, exacerbating the
already formidable challenges faced by healthcare systems. Leveraging artificial …

This paper proposes a novel approach to combating HIV drug resistance through the
development of predictive models leveraging genomic data and artificial intelligence (AI) …

Vaccine distribution in resource-limited settings remains a crucial global health challenge,
exacerbated by factors such as inadequate infrastructure, limited resources, and complex …

Epidemic forecasting plays a critical role in public health preparedness and response,
enabling proactive measures to mitigate the impact of infectious diseases. Environmental …

Predicting and preventing HIV outbreaks in Sub-Saharan Africa, a region disproportionately
affected by the epidemic remains a significant challenge. This review explores the …

The integration of artificial intelligence (AI) into HIV treatment regimens has revolutionized
the approach to personalized care and optimization strategies. This study presents an in …

The integration of artificial intelligence (AI) and mobile health data has ushered in a new era
of real-time infectious disease surveillance, offering unprecedented insights into disease …

This paper explores the potential of deep learning in analyzing social media data to identify
and support populations at high risk for HIV. With the widespread use of social media, there …

Artificial intelligence (AI) has emerged as a powerful tool in healthcare, with the potential to
revolutionize the monitoring of HIV treatment adherence. This conceptual exploration delves …

This integrative study explores the pivotal role of big data in enhancing epidemic
preparedness and response strategies in Southeast Asia. The region, characterized by its …