Abstract: Oral formulations comprising one or more proteasome inhibitors for use as a treatment of coronavirus infection in a subject. Also disclosed are the use of such for the treatment or prevention of SARS-CoV-2 infection in humans.

Abstract: A tyrosine kinase inhibitor for use in the treatment of COVID-19 and/or its associated symptoms. Also disclosed is a method of treating an individual infected with a coronavirus, wherein said method comprises the steps of: providing a tyrosine kinase inhibitor; and administering said tyrosine kinase inhibitor to said individual in a dosage amount sufficient to prevent/stabilize/reduce the risks and/or symptoms associated with a coronavirus infection.

Abstract: Systems, methods, and non-transitory computer-readable storage media for identifying potential therapeutics for pathogens (bacterial or viral). The system can receive a plurality of molecules known to have interactions with a pathogen, fragment the plurality of molecules into a plurality of linkers and a plurality of rigids, and remove redundancies from the plurality of linkers and the plurality of rigids. The system can then identify a plurality of possible molecules formed from the fragments, evaluate those possible molecules for toxicity, and analyze the non-toxic candidates using a convolutional neural network associated with the pathogen. The final candidates can then be used for in-vivo testing.

Abstract: An electronic healthcare system for delivering medical services is described. The electronic healthcare systems can includes modules for accessing patient electronic medical records and ordering medical services. In response to a medical service order, a cost estimation and notification module can receive information associated with the medical service order. The cost estimation and notification module can determine the patient cost responsibility and quickly notify the patient of the costs. The patient can use the determined cost information to decide whether to move forward with the ordered medical tests.

Abstract: An electronic healthcare system for delivering medical services is described. The electronic healthcare systems can includes modules for accessing patient electronic medical records and ordering medical services, which involve HL7 communications between disparate healthcare organizations. The communications can involve custom communication interfaces which are used to parse and translate HL7 messages. Methods and apparatus are described for generating the custom communications interfaces. In one embodiment, the custom communication interfaces can be generated using machine learning algorithms trained to recognize various data types in message segments contained in HL7 messages.

Abstract: An electronic healthcare system for delivering medical services is described. The electronic healthcare systems can includes modules for accessing patient electronic medical records and ordering medical services, which involve HL7 communications between disparate healthcare organizations. The communications can involve custom communication interfaces which are used to parse and translate HL7 messages. Methods and apparatus are described for generating the custom communications interfaces. In one embodiment, the custom communication interfaces can be generated using machine learning algorithms trained to recognize various data types in message segments contained in HL7 messages.

Abstract: An electronic healthcare system for delivering medical services is described. The electronic healthcare systems can includes modules for accessing patient electronic medical records and ordering medical services, which involve HL7 communications between disparate healthcare organizations. The communications can involve custom communication interfaces which are used to parse and translate HL7 messages. Methods and apparatus are described for generating the custom communications interfaces. In one embodiment, the custom communication interfaces can be generated using machine learning algorithms trained to recognize various data types in message segments contained in HL7 messages.

Abstract: An electronic healthcare system for delivering medical services is described. The electronic healthcare systems can includes modules for accessing patient electronic medical records and ordering medical services, which involve HL7 communications between disparate healthcare organizations. The communications can involve custom communication interfaces which are used to parse and translate HL7 messages. Methods and apparatus are described for generating the custom communications interfaces. In one embodiment, the custom communication interfaces can be generated using machine learning algorithms trained to recognize various data types in message segments contained in HL7 messages.

Abstract: An electronic healthcare system for delivering medical services is described. The electronic healthcare systems can includes modules for accessing patient electronic medical records and ordering medical services. In response to a medical service order, a cost estimation and notification module can receive information associated with the medical service order. The cost estimation and notification module can determine the patient cost responsibility and quickly notify the patient of the costs. The patient can use the determined cost information to decide whether to move forward with the ordered medical tests.