Advanced Materials and Convergence Technologies for Sustainable COVID-19 Healthcare Model

Anshuman Mishra1,2, Yogesh Shukla3, Ashutosh Tiwari1,2,3,*

1Institute of Advanced Materials, IAAM, Ulrika 59053, Sweden

2VBRI, 7/16 Kalkaji Extension, New Delhi 110 019, India

3mHospitals, 2/31 Nehru Enclave, New Delhi 110019, India

Adv. Mater. Lett., 2021, 12 (1), 21011589

DOI: 10.5185/amlett.2021.011589

Publication Date (Web): Dec 08, 2020



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 COVID-19 public health system indicated to need of solutions based on cost, quality and universal availability in sustainable model. Standard healthcare models can be achieved by advanced technology of Artificial intelligence, IoT, Database analytics and advanced materials more effectively for mass community. Next-generation (“smart”) materials have capacity to contribute to theranostics models in 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, technologist and materials researchers involved in the prognosis research should develop certain priorities for the society.


Advanced materials, prognosis, artificial intelligence, theranostic technologies, COVID-19 pandemic.

Upcoming Congress

Knowledge Experience at Sea TM