Structure-Activity Studies of 1-Imidazo[4,5-]quinolin-4-amine Derivatives as A Adenosine Receptor Positive Allosteric Modulators.

We previously reported 1-imidazo[4,5-]quinolin-4-amines as A adenosine receptor (AAR) positive allosteric modulators (PAMs). AAR agonists, but not PAMs, are in clinical trials for inflammatory diseases and liver conditions. We synthesized new analogues to distinguish 2-cyclopropyl antagonist (orthosteric interaction demonstrated by binding and predicted computationally) from PAMs (derivatives with large 2-alkyl/cycloalkyl/bicycloalkyl groups).

A Machine Learning Algorithm Predicts Duration of hospitalization in COVID-19 patients.

The COVID-19 pandemic has placed unprecedented strain on the healthcare system, particularly hospital bed capacity in the setting of large variations in patient length of stay (LOS). Using electronic health record data from 966 COVID-19 patients at a large academic medical center, we developed three machine learning algorithms to predict the likelihood of prolonged LOS, defined as >8 days. The models included 353 variables and were trained on 80% of the cohort, with 20% used for model validation.