Abstract: Systems, and methods relate to a medical device receiving a treatment parameter operating point within a first operating region defined by a first set of operating points for which automatic incremental adjustment of a parameter in the current operation is permitted. In an illustrative example, incremental adjustment may use artificial intelligence based on patient feedback and sensor measurement of outcomes. Some exemplary devices may receive a request to alter the current treatment parameter operating point to a second treatment parameter operating point outside the first operating region and in a second operating region in a known safe operation zone, bounded by a known unsafe zone unavailable to the user. In the second operating region, some examples may restrict the step size of incremental adjustments requested by the user. Data may be collected for cloud-based analysis, for example, to facilitate discovery of more effective treatment protocols.

Abstract: Apparatus and associated methods relate to a Self-Validating System (SVS) which includes an Electronic Self-Validating Module (ESVM) that may be employed within a medical device, operable to receive and to transmit wireless transmissions to and from a personal electronic mobile device, the mobile device executing a Self-Validating Medical Device Remote Control (SVMDRC) application, also known as the mobile app, operable to control the ESVM, the mobile device and the ESVM further executing a pre-determined sequence of instructions at a pre-determined frequency, operable to perform a set of safety (validation) checks on the mobile device, and the ESVM. In an illustrative example, changes (updates) to the mobile device's operating system, the app, or the hardware on the mobile device may be detected by the mobile device, and may advantageously re-validate the mobile device automatically.

Abstract: Apparatus and associated methods relate to a Self-Validating System (SVS) which includes an Electronic Self-Validating Module (ESVM) that may be employed within a medical device, operable to receive and to transmit wireless transmissions to and from a personal electronic mobile device, the mobile device executing a Self-Validating Medical Device Remote Control (SVMDRC) application, also known as the mobile app, operable to control the ESVM, the mobile device and the ESVM further executing a pre-determined sequence of instructions at a pre-determined frequency, operable to perform a set of safety (validation) checks on the mobile device, and the ESVM. In an illustrative example, changes (updates) to the mobile device's operating system, the app, or the hardware on the mobile device may be detected by the mobile device, and may advantageously re-validate the mobile device automatically.

Abstract: Systems, and methods relate to a medical device receiving a treatment parameter operating point within a first operating region defined by a first set of operating points for which automatic incremental adjustment of a parameter in the current operation is permitted. In an illustrative example, incremental adjustment may use artificial intelligence based on patient feedback and sensor measurement of outcomes. Some exemplary devices may receive a request to alter the current treatment parameter operating point to a second treatment parameter operating point outside the first operating region and in a second operating region in a known safe operation zone, bounded by a known unsafe zone unavailable to the user. In the second operating region, some examples may restrict the step size of incremental adjustments requested by the user. Data may be collected for cloud-based analysis, for example, to facilitate discovery of more effective treatment protocols.

Abstract: Systems, and methods relate to a medical device receiving a treatment parameter operating point within a first operating region defined by a first set of operating points for which automatic incremental adjustment of a parameter in the current operation is permitted. In an illustrative example, incremental adjustment may use artificial intelligence based on patient feedback and sensor measurement of outcomes. Some exemplary devices may receive a request to alter the current treatment parameter operating point to a second treatment parameter operating point outside the first operating region and in a second operating region in a known safe operation zone, bounded by a known unsafe zone unavailable to the user. In the second operating region, some examples may restrict the step size of incremental adjustments requested by the user. Data may be collected for cloud-based analysis, for example, to facilitate discovery of more effective treatment protocols.

Abstract: Apparatus and associated methods relate to a Self-Validating System (SVS) which includes an Electronic Self-Validating Module (ESVM) that may be employed within a medical device, operable to receive and to transmit wireless transmissions to and from a personal electronic mobile device, the mobile device executing a Self-Validating Medical Device Remote Control (SVMDRC) application, also known as the mobile app, operable to control the ESVM, the mobile device and the ESVM further executing a pre-determined sequence of instructions at a pre-determined frequency, operable to perform a set of safety (validation) checks on the mobile device, and the ESVM. In an illustrative example, changes (updates) to the mobile device's operating system, the app, or the hardware on the mobile device may be detected by the mobile device, and may advantageously re-validate the mobile device automatically.

Abstract: Apparatus and associated methods relate to closure of a stoma with a structure continuously formed in vivo. In an illustrative example, a stoma closure tool (SCT) may include a drive module, a phase transition inducement module (PTIM), and a conduit that defines a lumen. A distal end of the conduit may, for example, be inserted through a first tissue and into a second tissue that together at least partially define a stoma. A flow rate of a fluid biomaterial through the lumen and discharged at the distal end of the conduit may, for example, be controlled by the drive module. A fluid to solid phase transition in the biomaterial may, for example, be controllably induced by the PTIM. Various embodiments may, for example, advantageously form a continuous structure extending directly across the stoma between a proximal anchor in the first tissue and a distal anchor in the second tissue.

Abstract: Systems, and methods relate to a medical device receiving a treatment parameter operating point within a first operating region defined by a first set of operating points for which automatic incremental adjustment of a parameter in the current operation is permitted. In an illustrative example, incremental adjustment may use artificial intelligence based on patient feedback and sensor measurement of outcomes. Some exemplary devices may receive a request to alter the current treatment parameter operating point to a second treatment parameter operating point outside the first operating region and in a second operating region in a known safe operation zone, bounded by a known unsafe zone unavailable to the user. In the second operating region, some examples may restrict the step size of incremental adjustments requested by the user. Data may be collected for cloud-based analysis, for example, to facilitate discovery of more effective treatment protocols.

Abstract: Systems, and methods relate to a medical device receiving a treatment parameter operating point within a first operating region defined by a first set of operating points for which automatic incremental adjustment of a parameter in the current operation is permitted. In an illustrative example, incremental adjustment may use artificial intelligence based on patient feedback and sensor measurement of outcomes. Some exemplary devices may receive a request to alter the current treatment parameter operating point to a second treatment parameter operating point outside the first operating region and in a second operating region in a known safe operation zone, bounded by a known unsafe zone unavailable to the user. In the second operating region, some examples may restrict the step size of incremental adjustments requested by the user. Data may be collected for cloud-based analysis, for example, to facilitate discovery of more effective treatment protocols.

Abstract: Systems, and methods relate to a medical device receiving a treatment parameter operating point within a first operating region defined by a first set of operating points for which automatic incremental adjustment of a parameter in the current operation is permitted. In an illustrative example, incremental adjustment may use artificial intelligence based on patient feedback and sensor measurement of outcomes. Some exemplary devices may receive a request to alter the current treatment parameter operating point to a second treatment parameter operating point outside the first operating region and in a second operating region in a known safe operation zone, bounded by a known unsafe zone unavailable to the user. In the second operating region, some examples may restrict the step size of incremental adjustments requested by the user. Data may be collected for cloud-based analysis, for example, to facilitate discovery of more effective treatment protocols.