Abstract: A system and a method directed to various techniques for creating an autonomous multipurpose application using a platform of application programming interfaces (APIs). In one embodiment, a method comprising operations performed by a cognitive intelligence platform is disclosed. The method includes: publishing, for implementation in the autonomous multipurpose application, at least one API that uses artificial intelligence to perform analytics based on a knowledge graph pertaining to ontological data of a medical condition, wherein the at least one API is included in a set of APIs; providing the at least one API in a user interface of a computing device; receiving, from the computing device, a request to subscribe to the at least one API; implementing computer instructions of the at least one API in the autonomous multipurpose application; and providing the autonomous multipurpose application to the computing device for execution on the computing device.

Abstract: Systems and methods for decreasing risk-adjusted mortality rates, including identifying patient co-morbidity-related clinical data by preprocessing historical patient data based on rules. Identified co-morbidity-related clinical data is displayed using an interactive user interface for validation, and validated results are stored in an electronic health record (EHR) for the patient. Updated co-morbidity-related clinical is identified by concurrent processing updated patient data based on the rules. The updated co-morbidity-related clinical data is displayed using the interactive user interface for further validation. The EHR is iteratively updated with revised co-morbidity data by the postprocessing upon detection of changes to the EHR.

Abstract: A method for determining a risk for an infectious disease for a patient using a cognitive intelligence platform is disclosed. The method includes receiving, from an authoritative source, factors indicative of a person being infected by the infectious disease, wherein the factors include medical information pertaining to the infectious disease. The method also includes determining whether any of the factors are present in a patient graph of the patient, wherein the patient graph includes medical information pertaining to the patient and the determining is performed by matching the medical information pertaining to the infectious disease to the medical information pertaining to the patient. The method also includes, responsive to determining the factors are present in the patient graph of the patient, determining the risk for the infectious disease for the patient, and performing a preventative action based on the risk for the infectious disease.

Abstract: This invention relates to the compound (2R)-2-(6-{5-chloro-2-[(oxan-4-yl)amino]pyrimidin-4 -yl}-1-oxo-2,3-dihydro-1H-isoindol-2-yl)-N-[(1S)-1-(3-fluoro-5-methoxyphenyl)-2-hydroxyethyl]propanamide, and in particular to novel physical forms of the compound, a process for preparing the compound and synthetic intermediates for use in the process, and novel formulations containing the compound, as well as therapeutic uses of the compound.

Abstract: A method for diagnosing a medical condition through cognification of unstructured data is disclosed. The method may include receiving, at a server, an electronic medical record including notes pertaining to a patient. The method may also include generating cognified data using the notes, where the cognified data includes a health summary of the medical condition. The method may also include generating, based on the cognified data, a diagnosis of the medical condition of the patient, where the diagnosis at least identifies a type of the medical condition. The method may also include providing the diagnosis to a computing device for presentation on the computing device.

Abstract: Methods and devices for treating occlusive peripheral vascular diseases are described. The devices can include an access catheter having a guidewire lumen and stylet lumen, a guide tube having a curved distal end, a stylet, and an actuator handle. The methods describe techniques for using the described devices for performing vascular procedures, such as subintimal angioplasty.

Abstract: A method for answering questions posed by a user, the method comprising: receiving from a medical conversational user interface a user-generated natural language medical information query at an artificial intelligence-based medical conversation cognitive agent; extracting a medical question; compiling a medical conversation language sample; extracting internal medical concepts and medical data from the sample; inferring a therapeutic intent of the user; generating a therapeutic paradigm logical framework, wherein logical framework comprises medical logical progression paths from the medical question to respective therapeutic answers, each of the logical progression paths includes medical logical linkages from the medical question to a therapeutic path-specific answer, and the medical logical linkages include the internal medical concepts and external therapeutic paradigm concepts derived from a store of medical subject matter ontology data; selecting a likely medical information path based upon the therapeuti

Abstract: Embodiments relate to subcutaneous insertion systems comprising a surface device to be applied to a patient's skin and an insertion system for applying the surface device to the patient, wherein the applying can include subcutaneous insertion of a cannula or other element, and related devices and methods. The surface device comprises a surface for application to the skin of a patient and a subcutaneous element, such as a cannula, wire, filament or other device, extending from the skin's surface at an angle greater than 0 degrees and less than 90 degrees.

Abstract: Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, a resource utilization plan for a medical condition of patients. The method including receiving medical data pertaining to the patients, determining, by the artificial intelligence engine, a disease progression level for the medical condition of the patients. The determining is based at least on the medical data, and the disease progression level indicates a trajectory for the patient on a disease continuum of the medical condition. The method includes generating, by the artificial intelligence engine, the resource utilization plan for the medical condition of the patients. The generating is based at least on the disease progression level, and the resource utilization plan includes actionable items to be performed by a healthcare facility. The method includes transmitting the resource utilization plan to a computing device.

Abstract: In various examples, activation criteria and/or braking profiles corresponding to automatic emergency braking (AEB) systems and/or collision mitigation warning (CMW) systems may be determined using sensor data representative of an environment to a front, side, and/or rear of a vehicle. For example, activation criteria for triggering an AEB system and/or CMW system may be adjusted by leveraging the availability of additional information with regards to the surrounding environment of a vehicle—such as the presence of a trailing vehicle. In addition, the braking profile for the AEB activation may be adjusted based on information about the presence of and/or location of vehicles to the front, rear, and/or side of the vehicle. By adjusting the activation criteria and/or braking profiles of an AEB system, the potential for collisions with dynamic objects in the environment is reduced and the overall safety of the vehicle and its passengers is increased.

Abstract: A stretch blow molded pipette is provided that includes a tubular body arranged between a tip region and a mouthpiece region. The tip region has an average wall thickness that is greater than a wall thickness of the tubular body, and the body region has an average wall thickness of less than 0.032 inches (in) and a hoop strength of at least 15 pound-feet (lbf).

Abstract: Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, a treatment plan for a medical condition of a patient. The method comprises receiving medical data pertaining to the patient. The method also comprises determining, by the artificial intelligence engine and by using machine learning models, a disease progression level for the medical condition of the patient. The disease progression level indicates a risk of the patient reaching a next stage on a disease continuum of the medical condition. The method further comprises generating, by the artificial intelligence engine, the treatment plan for the medical condition. The generating is based at least on the disease progression level. The treatment plan comprises one or more actionable items to be performed on or by the patient. The method also comprises transmitting the treatment plan to a computing device for presentation to a healthcare professional.

Abstract: A method for electronically generating a care plan is disclosed herein. The method includes comparing a first data structure with a second data structure. The first data structure includes a set of health artifacts pertaining to a first condition of the patient. The second data structure pertains to the patient and the first condition of the patient, and the second data structure includes a subset of the set of the health artifacts. Responsive to the comparing, the method also includes generating the care plan comprising another subset of the set of health artifacts, and modifying the another subset of the set of health artifacts in the care plan based on a detected tone of the patient, a detected emotion of the patient, a medical outcome desired by a physician, or some combination thereof.

Abstract: A method for electronically generating a care plan is disclosed. The method includes selecting a first data structure corresponding to a first condition of a patient. The first data structure including a set of health artifacts pertaining to the first condition. The method also including comparing a second data structure with the first data structure. The second data structure pertains to the patient and the first condition of the patient, and the second data structure comprises a subset of the set of health artifacts. The method also including selecting, based on the comparing, another subset of the set of health artifacts in the first data structure, generating the care plan comprising a third data structure that includes at least the another subset of the set of health artifacts, and causing the care plan to be presented on a computing device.

Abstract: Systems and methods are disclosed that map quantum circuits to physical qubits of a quantum computer. Techniques are disclosed to generate a graph that characterizes the physical qubits of the quantum computer and to compute the resource requirements of each circuit of the quantum circuits. For each circuit, the graph is searched for a subgraph that matches the resource requirements of the circuit, based on a density matrix. Physical qubits, defined by the matching subgraph, are then allocated to the logical qubits of the circuit.

Abstract: A computer-implemented method performed by a cognitive intelligence platform is disclosed herein. The method comprises: receiving, from a plurality of electronic health record systems, medical records associated with medical encounters of a patient with one or more medical providers over a period of time, the medical records including medical information related to care of the patient; analyzing the medical records by classifying the medical information included in the medical records into medical entities, the medical entities including categories having particular shared characteristics related to the care of the patient; generating, based on the medical entities, visual representations of the medical records over the period of time; and providing the visual representations of the medical records to a medical provider.

Abstract: A computer-implemented method is performed by a cognitive intelligence platform. The method comprises: receiving, from a plurality of electronic health record systems, medical records associated with medical encounters of a patient with one or more medical providers over a period of time, the medical records including medical information related to care of the patient; analyzing the medical records by classifying the medical information included in the medical records into medical entities, the medical entities including categories having particular shared characteristics related to the care of the patient; determining, based on the medical entities, an effectiveness of a treatment plan received by the patient; generating an indication of the effectiveness of the treatment plan; and providing the indication to a user interface executing on a computing device.

Abstract: In various examples, activation criteria and/or braking profiles corresponding to automatic emergency braking (AEB) systems and/or collision mitigation warning (CMW) systems may be determined using sensor data representative of an environment to a front, side, and/or rear of a vehicle. For example, activation criteria for triggering an AEB system and/or CMW system may be adjusted by leveraging the availability of additional information with regards to the surrounding environment of a vehicle—such as the presence of a trailing vehicle. In addition, the braking profile for the AEB activation may be adjusted based on information about the presence of and/or location of vehicles to the front, rear, and/or side of the vehicle. By adjusting the activation criteria and/or braking profiles of an AEB system, the potential for collisions with dynamic objects in the environment is reduced and the overall safety of the vehicle and its passengers is increased.

Abstract: A new and distinct cultivar of Prunus plant named ‘UCONNPCSDR’ is disclosed, characterized by a low, compact, mounded plant habit, and dusky pink buds opening to white flowers. Foliage is red-purple-flushed in spring, to burgundy-colored in summer. The new cultivar is a Prunus, suitable for ornamental garden purposes.