Abstract: Disclosed is a method and apparatus for dynamic models to identify similar tasks when no task identifier is provided during the training phase in continual learning (CL). The method includes maintaining a memory comprising one or more previously learned tasks, determining, in response to receiving a new task, one of more similarities between at least one previously learned task and the new task, generating, based on the one or more similarities determined and a previously used task-specific encoder corresponding to the at least one previously learned task, a test error value for classifying the new task, and applying the previously used task-specific encoder to the new task based on the generated test error value.

Abstract: Provided are methods of making a SARS-CoV-2 (COVID-19) infection classifier for a platform, and optionally a non-COVID-19 viral infection classifier, a bacterial infection classifier, a non-infectious illness classifier, and/or a healthy subjects classifier for the platform. Methods and systems for determining the presence of SARS-CoV-2 (COVID-19) infection in a subject or for determining the viral stage of infection of a SARS-CoV-2 (COVID-19) illness in a subject suffering therefrom are also provided.

Abstract: The present disclosure describes a deep learning algorithm with the ability to provide a high-performance classifier to predict either the presence of geographic atrophy (GA), or the likelihood of progression from intermediate age-related macular degeneration to GA. The system can also be used for broader applications outside of eye disease.

Abstract: The present disclosure provides methods for determining whether a subject has sepsis, or is at risk of developing sepsis, and methods of treating the subject based on the determination. Also provided are methods for determining an increased risk of mortality in a subject with sepsis or suspected of having sepsis, and methods of treating the subject based on the determination. Systems useful for the same are also provided.

Abstract: The present disclosure provides methods for determining whether a subject has sepsis, or is at risk of developing sepsis, and methods of treating the subject based on the determination. Also provided are methods for determining an increased risk of mortality in a subject with sepsis or suspected of having sepsis, and methods of treating the subject based on the determination. Systems useful for the same are also provided.

Abstract: The present disclosure provides methods for determining whether a subject has sepsis, or is at risk of developing sepsis, and methods of treating the subject based on the determination. Also provided are methods for determining an increased risk of mortality in a subject with sepsis or suspected of having sepsis, and methods of treating the subject based on the determination. Systems useful for the same are also provided.

Abstract: The present disclosure provides methods for determining the presence or absence of and/or the etiology of an acute respiratory viral infection in a subject, as well as methods of treating the subject based on the determination, by measuring on a platform the expression levels of a pre-defined set of gene products.

Abstract: The present disclosure provides methods for determining the etiology of an acute respiratory infection in a subject and methods of treating the subject based on the determination, as well as systems useful for performing the determination using a biological sample from the subject.