https://www.selleckchem.com/products/mrtx0902.html Many of the symptoms characterized as the post-acute sequelae of SARS-CoV-2 infection (PASC) could have multiple causes or similarly seen in non-COVID patients. An accurate identification of phenotypes will be important to guide future research and the healthcare system to focus its efforts and resources on adequately controlled age- and gender-specific sequelae of COVID-19 infection. This retrospective electronic health records (EHR) cohort study, we applied a computational framework for knowledge discovery from clinical data, MLHO, to identify phenotypes that positively associate with a past positive PCR test for COVID-19. We evaluated the post-test phenotypes in two temporal windows at 3-6 and 6-9 months after the test and by age and gender. We utilized longitudinal diagnosis records stored in EHRs from Mass General Brigham (MGB) 57 thousand patients who tested positive or negative for COVID-19 and were not hospitalized. Statistical analyses were performed on data from March 2020 to March 2021. PCR test ree COVID-19 PCR test in the past few months. Our approach avoids a flood of false positive discoveries, while offering a more probabilistic flexible criterion than the standard linear phenome-wide association study (PheWAS). These findings suggest that some of the previously identified post sequelae of COVID-19 may not be accurate and that most of the PASC are observed in patients under 65 years of age.We compared the serum neutralizing antibody titers before and after two doses of the BNT162b2 COVID-19 vaccine in ten individuals who recovered from SARS-CoV-2 infection prior to vaccination to 20 individuals with no history of infection, against clinical isolates of B.1.1.7, B.1.351, P.1, and the original SARS-CoV-2 virus. Vaccination boosted pre-existing levels of anti-SARS-CoV-2 spike antibodies 10-fold in previously infected individuals, but not to levels significantly higher than those of uninfected vaccinees.