An amalgamation of bioinformatics and artificial intelligence for COVID-19 management: From discovery to clinic

Author:

Wang Jiao,Chavda Vivek,Prajapati Riddhi,Bedse Anjali,Patel Jinita,Popat Sagar,Jogi Gargi,Vineela Nalla Lakshmi,Jetha Keshava,Shen BairongORCID,Singla Rajeev K.ORCID

Publisher

Elsevier BV

Subject

Biotechnology

Reference186 articles.

1. A Bayesian machine learning approach for drug target identification using diverse data types | Nature Communications [Internet]. [cited 2023 Jul 10]. Available from: https://www.nature.com/articles/s41467-019-12928-6.

2. Abdulkareem M, Petersen SE. The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype. Frontiers in Artificial Intelligence [Internet]. 2021 [cited 2023 Jul 10];4. Available from: https://www.frontiersin.org/articles/10.3389/frai.2021.652669.

3. Aleem, A., Akbar Samad, A.B., Vaqar, S., 2023. Emerging Variants of SARS-CoV-2 and Novel Therapeutics Against Coronavirus (COVID-19). In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing

4. 2023 [cited 2023 Jul 9]. Available from: http://www.ncbi.nlm.nih.gov/books/NBK570580/.

5. Alom, M.Z., Rahman, M.M.S., Nasrin, M.S., Taha, T.M., Asari, V.K., 2020. COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches [Internet]. arXiv

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