COVID-19 … What are drugs and strategies now?

COVID-19 … What are drugs and strategies now?

Authors

  • Valentina Bellini Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126 Parma, Italy
  • Andrea Cortegiani Department of Surgical, Oncological and Oral Science (Di.Chir.On.S.), University of Palermo. Department of Anesthesia Intensive Care and Emergency, Policlinico Paolo Giaccone, Palermo, Italy
  • Luigi Vetrugno Department of Medicine, University of Udine, Italy, Anesthesia and Intensive Care Clinic, Via Colugna n° 50 33100 Udine, Italy; University-Hospital of Udine, Department of Anesthesia and Intensive Care, P.le S. Maria della. Misericordia n° 15 33100 Udine, Italy
  • Francesco Potì Department of Medicine and Surgery - Unit of Neurosciences, University of Parma, Parma, Italy
  • Francesco Saturno Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126 Parma, Italy
  • Michelangelo Craca Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126 Parma, Italy
  • Elena Bignami Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126 Parma, Italy

Keywords:

COVID-19, MACHINE LEARNING, ARTIFICIAL INTELLIGENCE, DRUGS

Abstract

From February 2019 the World faces the Covid19 pandemic. The data in our possession are still insufficient to effectively combat this pathology.

The gold standard for diagnosis remains molecular testing, while clinical and instrumental and serological diagnostics are highly nonspecific leading to a slowdown in the battle against covid19.[3]

Can Artificial Intelligence (AI) and Machine Learning (ML) help us? The use of large databases to cross-reference data to stratify the diagnostic scores, to quickly differentiate a critical Covid-19 patient from a non-critical one is the challenge of the future. All to achieve better management of resources in the field and a more effective therapeutic approach.[2]

References

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Wiersinga WJ, Rhodes A, Cheng AC, Peacock SJ, Prescott HC. Pathophysiology, Transmission, Diagnosis, and Treatment of Coronavirus Disease 2019 (COVID-19): A Review [published online ahead of print, 2020 Jul 10]. JAMA. 2020;10.1001/jama.2020.12839. doi:10.1001/jama.2020.12839

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Potì F, Pozzoli C, Adami M, Poli E, Costa LG. Treatments for COVID-19: emerging drugs against the coronavirus. Acta Biomed. 2020;91(2):118-136. Published 2020 May 11. doi:10.23750/abm.v91i2.9639.

Assaf D, Gutman Y, Neuman Y, Segal G, Amit S, Gefen-Halevi S, Shilo N, Epstein A, Mor-Cohen R, Biber A, Rahav G, Levy I, Tirosh A. Utilization of machine-learning models to accurately predict the risk for critical COVID-19. Intern Emerg Med. 2020 Aug 18:1–9. doi: 10.1007/s11739-020-02475-0. Epub ahead of print.

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Published

12-05-2021

Issue

Section

CORRESPONDENCE - SPECIAL COVID19

How to Cite

1.
Bellini V, Cortegiani A, Vetrugno L, Potì F, Saturno F, Craca M, et al. COVID-19 … What are drugs and strategies now?. Acta Biomed [Internet]. 2021 May 12 [cited 2024 Jul. 18];92(2):e2021096. Available from: https://mattioli1885journals.com/index.php/actabiomedica/article/view/11165