**4. Concluding remarks and future perspective**

COVID-19 causes a gigantic load to the healthcare system, particularly in patients with preexisting conditions comorbidities. A comprehensive study is presented about COVID-19 symptoms, clinical classification (mild, moderate, severe, critical cases), and the risk indicators for COVID-19 infection with comorbidities.

Natural products (NPs) have been used for centuries for treatments of different maladies and inspired scientists to develop safer and more effective drugs. The COVID-19 is complex clinical condition that comprises inflammatory components. Although selective inhibitor could be developed for inhibiting critical molecular target in the life of cycle, compounds with multitargeting activity may be more favorable to reduce the possibility of mutation development. Optimum drug should be able to modulate host cell and viralrelated mechanisms. This is where natural products could play important role since their ability to bind effectively to targets with completely different homology. Nevertheless, the anti-inflammatory attribute of NPs is another advantage that should be considered during choosing therapeutic protocol. Finally, the observed antiviral activity of different phytochemicals should initiate repurposing campaign of untested NPs to identify new antiviral compounds, which could be exploited to design more effective drugs with optimum pharmacokinetic properties. This study presents briefly the value of AI and ML as powerful tools in healthcare, clinical, drug industry, diagnosis, decision-making, and improvement of the selection criteria for the most appropriate protocol for the treatment of COVID-19.
