Abstract: Systems and methods for designing and implementing patient-specific surgical procedures and/or medical devices are disclosed. In some embodiments, the system automatically measures and analyzes one or more parameters from images of the human to, for example, assist with diagnosis and/or treatment. The automated measurements can measure parameters between patients and/or physicians to generate historical data suitable for training machine learning systems. Pre-operative images can be analyzed to determine spinal-pelvic parameters for diagnosing patients, generating treatment plans, and/or assessing efficacy of treatment. Intra-operative images can be analyzed to determine spinal-pelvic parameters for interoperative simulations.

Abstract: Systems and methods for designing and implementing patient-specific surgical procedures and/or medical devices are disclosed. In some embodiments, a method includes receiving intra-operative data during a surgical procedure to install a patient-specific implant in a patient. The system can compare the intra-operative data to a pre-operative plan to determine whether the implant is positioned and located according to the pre-operative plan.

Abstract: An interactive coding environment is provided via an integrated mobile application. The interactive coding environment includes multiple user interface input elements including, but not limited to, a text editor, a virtual keyboard, a virtual autocomplete toolbar, a quick actions toolbar, and a virtual joystick. A user interacts with the coding environment via their user device, such as a mobile device. While coding within the text editor, the user is provided with auto-complete code suggestions and/or code snippets. Suggested inputs are obtained from a predictive model based on the user’s input. A virtual joystick is provided to enable easy navigation within a text document shown within the text editor.

Abstract: An interactive coding environment is provided via an integrated mobile application. The interactive coding environment includes multiple user interface input elements including, but not limited to, a text editor, a virtual keyboard, a virtual autocomplete toolbar, a quick actions toolbar, and a virtual joystick. A user interacts with the coding environment via their user device, such as a mobile device. While coding within the text editor, the user is provided with auto-complete code suggestions and/or code snippets. Suggested inputs are obtained from a predictive model based on the user's input. A virtual joystick is provided to enable easy navigation within a text document shown within the text editor.

Abstract: Embodiments relate generally to respirator face masks, and specifically to powered face masks which may be custom-controllable to better provide for the specific air needs of the individual user wearing the mask. For example, the face mask embodiments typically include a filter and a motorized fan, both generally located on the face mask itself, along with a processor. The processor then may use inputs, for example specific to the user and/or the environment, to control the fan speed. Thus, the fan speed of the face mask may be custom controlled to provide the appropriate amount of filtered air as the specific user needs it.

Abstract: Systems and methods for designing and implementing patient-specific surgical procedures and/or medical devices are disclosed. In some embodiments, a method includes receiving intra-operative data during a surgical procedure to install a patient-specific implant in a patient. The system can compare the intra-operative data to a pre-operative plan to determine whether the implant is positioned and located according to the pre-operative plan.

Abstract: Systems and methods for designing and implementing patient-specific surgical procedures and/or medical devices are disclosed. In some embodiments, a method includes receiving intra-operative data during a surgical procedure to install a patient-specific implant in a patient. The system can compare the intra-operative data to a pre-operative plan to determine whether the implant is positioned and located according to the pre-operative plan.

Abstract: Embodiments of the disclosure include methods for implementing a predictive model that predicts pluripotency of cells through a cost efficient and non-destructive means. The predictive model analyzes contrast images captured from the cells and outputs predictions of cellular pluripotency at the cellular level. Thus, implementation of the predictive model guides the selection and isolation of cells that are predicted to be pluripotent. Furthermore, the predictive model facilitates retrospective analyses to correlate pluripotency metrics with differentiation success and further enables tracking of cellular pluripotency over time (e.g., to evaluate differentiation of cells).

Abstract: Embodiments relate generally to respirator face masks, and specifically to powered face masks which may be custom-controllable to better provide for the specific air needs of the individual user wearing the mask. For example, the face mask embodiments typically include a filter and a motorized fan, both generally located on the face mask itself, along with a processor. The processor then may use inputs, for example specific to the user and/or the environment, to control the fan speed. Thus, the fan speed of the face mask may be custom controlled to provide the appropriate amount of filtered air as the specific user needs it.

Abstract: The present disclosure relates to an autonomous system for maintaining and differentiating induced pluripotency cells (iPSCs) based on quality and confluence conditions using machine learning, to obtain differentiated cells for phenotypic analyses and/or other cellular assays.

Abstract: Systems and methods for designing and implementing patient-specific surgical procedures and/or medical devices are disclosed. In some embodiments, a method includes receiving intra-operative data during a surgical procedure to install a patient-specific implant in a patient. The system can compare the intra-operative data to a pre-operative plan to determine whether the implant is positioned and located according to the pre-operative plan.

Abstract: Systems and methods for designing and implementing patient-specific surgical procedures and/or medical devices are disclosed. An example method includes obtaining a first multi-dimensional image data of an anatomical region of a patient in a first loading state; determining, from the first multi-dimensional image data, regions corresponding to anatomical elements of a spine; identifying, in each region, a first set of landmarks; obtaining a second multi-dimensional image data of the anatomical region comprising the spine of the patient in a second loading state; identifying a second set of landmarks from the second multi-dimensional image data that map to the first set of landmarks; obtaining an aligned multi-dimensional image data of the patient's spine; generating a design for a medical implant based on spinopelvic parameters measured from the aligned multi-dimensional image data; and causing a medical implant to be manufactured by sending the design for the medical implant to a manufacturing device.

Abstract: Embodiments of the disclosure include methods for implementing a predictive model that predicts pluripotency of cells through a cost efficient and non-destructive means. The predictive model analyzes contrast images captured from the cells and outputs predictions of cellular pluripotency at the cellular level. Thus, implementation of the predictive model guides the selection and isolation of cells that are predicted to be pluripotent. Furthermore, the predictive model facilitates retrospective analyses to correlate pluripotency metrics with differentiation success and further enables tracking of cellular pluripotency over time (e.g., to evaluate differentiation of cells).

Abstract: Embodiments relate generally to respirator face masks, and specifically to powered face masks which may be custom-controllable to better provide for the specific air needs of the individual user wearing the mask. For example, the face mask embodiments typically include a filter and a motorized fan, both generally located on the face mask itself, along with a processor. The processor then may use inputs, for example specific to the user and/or the environment, to control the fan speed. Thus, the fan speed of the face mask may be custom controlled to provide the appropriate amount of filtered air as the specific user needs it.

Abstract: Systems and methods for reviewing and analyzing proposed patient-specific surgical plans are described herein. In some embodiments, a surgical plan review program provides a user-friendly interface for a surgeon to review various aspects of a proposed surgical plan. The program enables the surgeon to approve the surgical plan and/or provide feedback on the surgical plan to prompt revisions to the surgical plan.

Abstract: An interactive coding environment is provided via an integrated mobile application. The interactive coding environment includes multiple user interface input elements including, but not limited to, a text editor, a virtual keyboard, a virtual autocomplete toolbar, a quick actions toolbar, and a virtual joystick. A user interacts with the coding environment via their user device, such as a mobile device. While coding within the text editor, the user is provided with auto-complete code suggestions and/or code snippets. Suggested inputs are obtained from a predictive model based on the user's input. A virtual joystick is provided to enable easy navigation within a text document shown within the text editor.

Abstract: Embodiments of the disclosure include methods for implementing a predictive model that predicts pluripotency of cells through a cost efficient and non-destructive means. The predictive model analyzes contrast images captured from the cells and outputs predictions of cellular pluripotency at the cellular level. Thus, implementation of the predictive model guides the selection and isolation of cells that are predicted to be pluripotent. Furthermore, the predictive model facilitates retrospective analyses to correlate pluripotency metrics with differentiation success and further enables tracking of cellular pluripotency over time (e.g., to evaluate differentiation of cells).

Abstract: Systems and methods for designing and implementing patient-specific surgical procedures and/or medical devices are disclosed. An example method includes obtaining, first multi-dimensional image data of an anatomical region of a patient in a first loading state; determining, from the first multi-dimensional image data, regions corresponding to anatomic elements of a spine; identifying, in each region, a first set landmarks; obtaining, a second multi-dimensional image data of the anatomical region comprising the spine of the patient in a second loading state; identifying a second set of landmarks from the second multi-dimensional image data that map to the first set of landmarks; obtaining an aligned multi-dimensional image data of the patient's spine; generating a design for a medical implant based on spinopelvic parameters measured from the aligned multi-dimensional image data; and causing a medical implant to be manufactured by sending the design for the medical implement to a manufacturing device.

Abstract: Embodiments relate generally to respirator face masks, and specifically to powered face masks which may be custom-controllable to better provide for the specific air needs of the individual user wearing the mask. For example, the face mask embodiments typically include a filter and a motorized fan, both generally located on the face mask itself, along with a processor. The processor then may use inputs, for example specific to the user and/or the environment, to control the fan speed. Thus, the fan speed of the face mask may be custom controlled to provide the appropriate amount of filtered air as the specific user needs it.

Abstract: Embodiments relate generally to respirator face masks, and specifically to powered face masks which may be custom-controllable to better provide for the specific air needs of the individual user wearing the mask. For example, the face mask embodiments typically include a filter and a motorized fan, both generally located on the face mask itself, along with a processor. The processor then may use inputs, for example specific to the user and/or the environment, to control the fan speed. Thus, the fan speed of the face mask may be custom controlled to provide the appropriate amount of filtered air as the specific user needs it.