AI can significantly contribute to addressing global challenges like climate change and healthcare through a variety of specific technologies and approaches. In climate change, AI-driven predictive analytics can model climate patterns, optimize energy consumption, and enhance renewable energy integration by analyzing vast datasets from sensors and satellites. Techniques such as machine learning can improve climate models, enabling more accurate forecasting of weather events and environmental changes. In healthcare, AI can revolutionize diagnostics and patient care by utilizing natural language processing to interpret medical literature and patient records, as well as deep learning algorithms to analyze medical images and predict disease outbreaks. Additionally, AI can facilitate personalized medicine by processing genomic data to tailor treatments to individual patients, improving outcomes. Advanced robotics and AI can also enhance healthcare delivery in remote areas, using telemedicine and automated systems to provide essential services. Overall, the effective use of AI in these fields hinges on its ability to analyze complex datasets, uncover patterns, and provide actionable insights that lead to innovative, data-driven solutions. Collaboration among technologists, policymakers, and domain experts will be crucial to implement these solutions effectively and ethically.

for health care AI can contribute to avoid compliance and dosing errors in the elderly population and to avoid untoward effects due to the same. Signal monitoring of the vitals could be feasible in mandate situations in self implied manner.