Abstract: Example embodiments relate to a sterile urine collection mechanism for medical diagnostic systems. An example device includes an initial collection component configured to collect a midstream urine sample from a patient. The device also includes a plurality of test strips configured to indicate a condition of the patient at a point of care. In addition, the device includes a sensor configured to capture an image of at least one test strip exposed to a portion of the midstream urine sample. Further, the device includes a computing device configured to analyze the image of the test strip captured by the sensor in order to determine the condition of the patient. Even further, the device includes a motor configured to position the test strip near the sensor. Yet further, the device includes an additional collection component configured to collect an additional portion of the midstream urine sample for central laboratory testing.

Abstract: A liquid biopsy system and method for the detection of biomarkers in bodily fluids is described. In particular, the system is suitable for detecting biomarkers of lung cancer in a subject.

Abstract: A medical diagnostic system is provided to automate analysis of samples to predict a medical condition, such as pregnancy or chronic kidney disease. The system may provide test strip usage automation. The medical diagnostic system may include a sample collection component, collection cup contamination protection mechanism, sample volume control component, test strip reader component, which may be manifested as a lateral flow strip reader, flow reader, sample analytic component, data processing component, data communication component, networked data management component, and device cleaning mechanism. A method to automate analysis of samples to predict a medical condition using the medical diagnostic system is also provided.

Abstract: Systems and methods include a virtual environment generator to create an interactive virtual environment based on one or more cube maps. The virtual environment generator derives the cube maps from a computer-generated 3D model to correspond to viewpoints in the computer-generated 3D model. The cube maps represent static images and the virtual environment generator further layers various features and virtual items onto the cube maps to create the interactive virtual environment with both static and dynamic portions. One or more mapping locators are generated and layered onto the cube maps. Interactive layers, product models, animation layers, and virtual items, such as virtual characters and environment objects, are layered onto the cube map (e.g., via associations with the mapping locators). Interactions at the interactive layer can cause product information to be displayed. In a friend mode, multiple user devices can simultaneously present and/or interact with the cube map together.

Abstract: A medical diagnostic system is provided to automate analysis of samples to predict a medical condition, such as pregnancy or chronic kidney disease. The system may provide test strip usage automation. The medical diagnostic system may include a sample collection component, collection cup contamination protection mechanism, sample volume control component, test strip reader component, which may be manifested as a lateral flow strip reader, flow reader, sample analytic component, data processing component, data communication component, networked data management component, and device cleaning mechanism. A method to automate analysis of samples to predict a medical condition using the medical diagnostic system is also provided.

Abstract: The present disclosure relates to automated medical diagnostic systems and methods. One example embodiment includes a system. The system includes a test cartridge, a test strip usable to indicate the presence of one or more patient conditions, and a kiosk configured to receive and process the test cartridge and the test strip. The kiosk includes a vortex mixer; a conveyor belt; a robotic pipette module; an imaging system; a display; and a processor communicative coupled to the vortex mixer, the conveyor belt, the robotic pipette module, the imaging system, and the display. The processor is configured to execute instructions stored within a memory to operate the vortex mixer, the conveyor belt, the robotic pipette module, the imagine system, and the display; to receive the image of the test strip from the imaging system; and to analyze the image to determine whether one or more patient conditions is present.

Abstract: Example embodiments relate to a sterile urine collection mechanism for medical diagnostic systems. An example device includes an initial collection component configured to collect a midstream urine sample from a patient. The device also includes a plurality of test strips configured to indicate a condition of the patient at a point of care. In addition, the device includes a sensor configured to capture an image of at least one test strip exposed to a portion of the midstream urine sample. Further, the device includes a computing device configured to analyze the image of the test strip captured by the sensor in order to determine the condition of the patient. Even further, the device includes a motor configured to position the test strip near the sensor. Yet further, the device includes an additional collection component configured to collect an additional portion of the midstream urine sample for central laboratory testing.

Abstract: A medical diagnostic system is provided to automate analysis of samples to predict a medical condition, such as pregnancy or chronic kidney disease. The system may provide test strip usage automation. The medical diagnostic system may include a sample collection component, collection cup contamination protection mechanism, sample volume control component, test strip reader component, which may be manifested as a lateral flow strip reader, flow reader, sample analytic component, data processing component, data communication component, networked data management component, and device cleaning mechanism. A method to automate analysis of samples to predict a medical condition using the medical diagnostic system is also provided.