Cerebrovascular Accident in a 65-Year-Old Patient with Rothia dentocariosa-Associated Endocarditis.

A 65-year-old male patient with a history of heart valve replacement surgery after aortic valve stenosis and a family history of heart disease presented to the emergency room with complaints of headache, fever, back pain, and general malaise. Multiple blood samples during the patient's hospitalization cultured showed Rothia dentocariosa. The patient was started on daily intravenous ceftriaxone and vancomycin. In the following weeks, the patient's condition deteriorated with additional symptoms, persistent inflammatory markers, and elevated fever consistent with R. dentocariosa infection. The patient's clinical progression led to a cerebrovascular accident that was resolved with thrombectomy. Full symptomatic relief occurred after a valve replacement. R. dentocariosa, a common mouth flora, is not commonly pathogenic. This case is of particular importance as severe complications involving this bacterium are rare. There is an extreme paucity of cases involving deadly complications of R. dentocariosa, and there is no general consensus involving standard treatment regimen for this bacterium. We believe that this paper adds to clinical knowledge surrounding R. dentocariosa.

Artificial intelligence and COVID-19: A multidisciplinary approach.

The COVID-19 pandemic is taking a colossal toll in human suffering and lives. A significant amount of new scientific research and data sharing is underway due to the pandemic which is still rapidly spreading. There is now a growing amount of coronavirus related datasets as well as published papers that must be leveraged along with artificial intelligence (AI) to fight this pandemic by driving news approaches to drug discovery, vaccine development, and public awareness. AI can be used to mine this avalanche of new data and papers to extract new insights by cross-referencing papers and searching for patterns that AI algorithms could help discover new possible treatments or help in vaccine development. Drug discovery is not a trivial task and AI technologies like deep learning can help accelerate this process by helping predict which existing drugs, or brand-new drug-like molecules could treat COVID-19. AI techniques can also help disseminate vital information across the globe and reduce the spread of false information about COVID-19. The positive power and potential of AI must be harnessed in the fight to slow the spread of COVID-19 in order to save lives and limit the economic havoc due to this horrific disease.