Advanced Materials and Convergence Technologies for Sustainable COVID-19 Healthcare Model
Dr. Ashutosh Tiwari, DPhil, DSc, FIAAM
Secretary General, International Association of Advanced Materials; Founder Director, Institute of Advanced Materials; Specialist in Tech-Sustainability, Net Zero, and Climate-Neutral Translational Innovation
Abstract
COVID-19 risk spread rapidly with several clinical manifestations and public health challenges. Research and innovation in advanced materials should be focused on solving critical problems associated with diagnosis, treatment, and control models. Important challenges of the COVID-19 public health system indicated to need for solutions based on cost, quality, and universal availability in a sustainable model. Standard healthcare models can be achieved by the advanced technology of Artificial intelligence, IoT, Database analytics, and advanced materials more effectively for the mass community. Next-generation (“smart”) materials have the capacity to contribute to theranostics models in a better way with high accuracy in terms of performance and reliability. In summary, engineered nanoparticles and advanced technologies have translational potential. Being public health professionals, technologists, and materials researchers involved in the prognosis research should develop certain priorities for society.
The full article can be downloaded at https://www.vbripress.com/aml/articles/details/1584
The citation of the article, Adv. Mater. Lett., 2021, 12 (1), 21011589. DOI: 10.5185/amlett.2021.011589
Keywords
Advanced materials, prognosis, artificial intelligence, theranostic technologies, COVID-19 pandemic.
