A method for matching production of FBA metabolism to supply and demand within a larger production network is described herein. An objective function of FBA metabolism is modified to include an upstream supply generated in upstream sub-units, as well as a downstream demand generated within downstream sub-units in the production network. FBA metabolism and the upstream and downstream sub-units are iteratively solved with updated initial conditions, producing a time series solution to the production network.

A method for matching production of FBA metabolism to supply and demand within a larger production network is described herein. An objective function of FBA metabolism is modified to include an upstream supply generated in upstream sub-units, as well as a downstream demand generated within downstream sub-units in the production network. FBA metabolism and the upstream and downstream sub-units are iteratively solved with updated initial conditions, producing a time series solution to the production network.

The present disclosure is directed to a computer-implemented method and system for anatomical tree structure analysis. The method includes receiving model inputs for a set of positions in an anatomical tree structure. The method further includes applying, by a processor, a set of encoders to the model inputs. Each encoder is configured to extract features from the model input at a corresponding position. The method also includes applying, by the processor, a tree structured network to the extracted features. The tree structured network has a plurality of nodes each connected to one or more of the encoders, and information propagates among the nodes of the tree structured network according to spatial constraints of the anatomical tree structure. The method additionally includes providing an output of the tree structured network as an analysis result of the anatomical tree structure analysis.

The present disclosure is directed to a computer-implemented method and system for anatomical tree structure analysis. The method includes receiving model inputs for a set of positions in an anatomical tree structure. The method further includes applying, by a processor, a set of encoders to the model inputs. Each encoder is configured to extract features from the model input at a corresponding position. The method also includes applying, by the processor, a tree structured network to the extracted features. The tree structured network has a plurality of nodes each connected to one or more of the encoders, and information propagates among the nodes of the tree structured network according to spatial constraints of the anatomical tree structure. The method additionally includes providing an output of the tree structured network as an analysis result of the anatomical tree structure analysis.

Computerized methods to predict or determine if a receptor is associated with a biological process in a target tissue are provided. Methods of training and using a machine learning model to predict or determine if a receptor is associated with a biological process in a target tissue as well as systems and computer program product to do same are also provided.

Computerized methods to predict or determine if a receptor is associated with a biological process in a target tissue are provided. Methods of training and using a machine learning model to predict or determine if a receptor is associated with a biological process in a target tissue as well as systems and computer program product to do same are also provided.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

This disclosure describes techniques for generating a visual path through a metabolic network, techniques include receiving reaction data for a starting metabolite, the reaction data comprising one or more potential reaction steps of the starting metabolite with one or more neighbor metabolites, generating from the one or more neighbor metabolites, a precursor metabolite list of precursor metabolites and a successor metabolite list of successor metabolites based on the reaction data, generating a user interface comprising the visual path that includes interactive visual data, the interactive visual data indicating each metabolite from the precursor metabolite list and the successor metabolite list, wherein each metabolite from the precursor metabolite list and the successor metabolite list is selectable and indicates a corresponding potential reaction step of the one or more potential reaction steps of the starting metabolite, and outputting the user interface for display at a display device.

This disclosure describes techniques for generating a visual path through a metabolic network, techniques include receiving reaction data for a starting metabolite, the reaction data comprising one or more potential reaction steps of the starting metabolite with one or more neighbor metabolites, generating from the one or more neighbor metabolites, a precursor metabolite list of precursor metabolites and a successor metabolite list of successor metabolites based on the reaction data, generating a user interface comprising the visual path that includes interactive visual data, the interactive visual data indicating each metabolite from the precursor metabolite list and the successor metabolite list, wherein each metabolite from the precursor metabolite list and the successor metabolite list is selectable and indicates a corresponding potential reaction step of the one or more potential reaction steps of the starting metabolite, and outputting the user interface for display at a display device.