Covid-19
Molecular signature of postmortem lung tissue from COVID-19 patients
We find 2 distinct models of lung pathology in severe COVID-19 patients that can be identified through the status of the complement activation, presence of specific cytokines, and a characteristic microbiome. This information can be used to design personalized therapy to treat COVID-19
Using routine clinical parameters from patient blood at the time of admission, we predicted the progression of COVID-19 with ~90% accuracy.
Our model is available as a web application https://triage-covid-19.herokuapp.com/
Effect of diabetes and hypertension on severity and mortality in COVID-19
In one of the largest cohorts of patients across multiple Covid-19 centers in India, we found that 63.1% of the COVID-19 patients had some form of comorbidities at the time of hospitalization. And patients with diabetes and COVID-19 patients had 2.46 times more risk of severe disease.
Sorting papers based on how they have been perceived by the Scientific community. This opens possibilities of future optimization for unbiased vetting and consumption of unpublished scientific literature
In early 2020, we parsed existing single datasets from appropriate human tissues to explore which cell types in different organs would be most susceptible to Covid-19 infection