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Deep Learning Techniques and COVID-19 Drug Discovery: Fundamentals, State-of-the-Art and Future Directions (2021)
Book Chapter
Jamshidi, M. B., Lalbakhsh, A., Talla, J., Peroutka, Z., Roshani, S., Matousek, V., Roshani, S., Mirmozafari, M., Malek, Z., La Spada, L., Sabet, A., Dehghani, M., Jamshidi, M., Honari, M. M., Hadjilooei, F., Jamshidi, A., Lalbakhsh, P., Hashemi-Dezaki, H., Ahmadi, S., & Lotfi, S. (2021). Deep Learning Techniques and COVID-19 Drug Discovery: Fundamentals, State-of-the-Art and Future Directions. In I. Arpaci, M. Al-Emran, M. A. Al-Sharafi, & G. Marques (Eds.), Emerging Technologies During the Era of COVID-19 Pandemic (9-31). Springer. https://doi.org/10.1007/978-3-030-67716-9_2

The world is in a frustrating situation, which is exacerbating due to the time-consuming process of the COVID-19 vaccine design and production. This chapter provides a comprehensive investigation of fundamentals, state-of-the-art and some perspective... Read More about Deep Learning Techniques and COVID-19 Drug Discovery: Fundamentals, State-of-the-Art and Future Directions.

Electromagnetic Nanoparticles for Sensing and Medical Diagnostic Applications (2018)
Journal Article
La Spada, L., & Vegni, L. (2018). Electromagnetic Nanoparticles for Sensing and Medical Diagnostic Applications. Materials, 11(4), 603. https://doi.org/10.3390/ma11040603

A modeling and design approach is proposed for nanoparticle-based electromagnetic devices. First, the structure properties were analytically studied using Maxwell’s equations. The method provides us a robust link between nanoparticles electromagnetic... Read More about Electromagnetic Nanoparticles for Sensing and Medical Diagnostic Applications.