Health Vectors

Healthcare professionals, marketers and institutions spend nearly 40 per cent of their time creating and publishing content, which diverts resources from patient care, research and innovation.

In many LMICs, innovators face an unclear AI governance landscape, often leading to confusion or the false assumption that AI in health is unregulated. This uncertainty is further reinforced by the misconception that general AI regulations do not apply to the healthcare sector.

These scenarios sound straight out of a blockbuster sci-fi film - but in Africa, years of research and innovation are already bearing fruit.

with real-time stream processing, a breakthrough that significantly enhances early disease detection. Mahitha Adapa, a researcher in this field, has pioneered an innovative system that integrates advanced data analytics, machine learning, and IoT technology to transform the speed and accuracy of public health monitoring.

A new National Academies report recommends ways for the U.S. to reap the benefits of artificial intelligence in biotechnology while minimizing risks that AI may be misused to develop harmful biological agents.

The rapid convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) is reshaping urban infrastructure, driving the next generation of smart cities. As cities become more interconnected,

Addressing these disparities requires the ability to process vast and noisy data efficiently—something that AI is uniquely equipped to do. AI can analyze vast datasets from diverse sources, such as electronic health records (EHRs), census data and community surveys to identify patterns and predict risk factors tied to SDoH.

AI's potential to detect and prevent disease is limitless, and allows us to address public health in a manner that is proactive, not just reactive.