Abstract: Generally described, one or more aspects of the present application relate to improving the process of generating and deploying software applications in a network environment, particularly software applications that incorporate or rely upon machine learning models. More specifically, the present disclosure provides specific user interface features and associated computer-implemented features that may effectively, from a user's perspective, remove most of the complexities associated with writing and deploying code and developing and improving machine learning models. For example, the present disclosure may provide user-friendly visual building blocks that allow users to build and customize machine learning workflows that can then be turned into a full software application and optimized and deployed at target destinations of the users' choice.

Abstract: Provided herein are methods and compositions for diagnosing a disease or an infection in a high throughput manner. Also provided herein are methods and compositions for diagnosing a disease or an infection with high specificity and high sensitivity.

Abstract: Systems and methods applicable, for instance, to pipette robots. A pipette robot can perform one or more operations regarding deck calibration, one or more operations regarding pipette tip/probe calibration, one or more operations regarding pipette tip pick up, and/or one or more operations regarding tip ejection.