Research Laboratory: Environment and Health Data Science (EH – DS)

EHDS lab was established in 2020, and committed to solving issues of digital health care through artificial intelligent models and handling monitoring of environment’s data received for simulation & modeling. The focus of data science and models in health is to revolutionize healthcare by harnessing the power of artificial intelligence to improve patient outcomes, enhance diagnostics, optimize treatments, and advance medical research. AI models are developed and deployed with the goal of transforming healthcare delivery and addressing the complex challenges faced by the healthcare industry.

Data science plays a crucial role in addressing environmental hazards and promoting sustainability. By harnessing the power of data analysis, modeling, and predictive analytics, data science can contribute to understanding, mitigating, and managing environmental risks.

The Environment and Health Data Science Laboratory’s mission is to apply data science and sophisticated analytical approaches to key challenges at the confluence of the environment and human health. Our major purpose is to provide practical insights and evidence-based solutions that help to identify, mitigate, and avoid ecological hazards and their effects on human well-being.

 
We strive to contribute to the development of evidence-based policies, interventions, and strategies that promote sustainable environments and safeguard human health for present and future generations. Through simulations and modeling, artificial intelligence, statistical analyses, bioinformatics, sensors, specialized software, and engineering designs, the laboratory aims to study, report, analyze, develop, predict, and promote health and safety resulting from natural or built environmental impacts. The team included research assistants, MS students, and faculty members. They have published around 20+ international articles and conferences