Publications by Type: Patent

In general, the present disclosure is directed to systems and methods of evaluating a subject's risk of one or more complications associated with pelvic organ prolapse surgery. The method comprising: obtaining, by a computing system comprising one or more computing devices, sample data associated with the subject; obtaining, by a computing system comprising one or more computing devices, medical record data associated with the subject; inputting, by the computing system, the sample data into a machine-learned surgical model; receiving, by the computing system as an output of the machine-learned surgical model, one or more predictions of post-surgical complications of mesh exposure through a vaginal wall associated with the subject; and performing a pelvic organ prolapse repair surgery on the subject.

In general, the present disclosure is directed to an endovascular device. The device may include an outer body comprising a biocompatible polymeric material; and a core comprising a first layer and a second layer, wherein the first layer comprising an anti-contractile agent and the second layer comprising a second agent.

Methods and systems for utilizing myocardial strain imaging in an inverse framework to identify mechanical properties of the heart and to determine structural and functional milestones for the development and progression to heart failure.

Described herein are devices and methods for performing automated and minimally invasive intramyocardial injections for cardiac repair that eliminate the need for opening the chest cavity for injections of therapeutics to the heart muscle to address heart attack, cardiomyopathy or myocardial diseases and can detect diseased tissue and deliver a specified volume of a therapeutic injectate to the region of interest.

In general, the present disclosure is directed to systems and methods of evaluating a subject's risk of one or more complications associated with pelvic organ prolapse surgery. The method comprising: obtaining, by a computing system comprising one or more computing devices, sample data associated with the subject; inputting, by the computing system, the sample data into a machine-learned immune response model; receiving, by the computing system as an output of the machine-learned immune response model, one or more predictions of post-surgical complications of mesh exposure through the vaginal wall associated with the subject; and performing a pelvic organ prolapse repair surgery on the subject, wherein the surgery is performed based at least in part on the one or more predictions of post-surgical complications by the machine-learned immune response model associated with a likelihood of success.

Infrared light sources, along with their methods of formation, are provided. The infrared light source can include a base Substrate defining an aperture; a filament extending through the aperture defined by the base substrate; a resistive metal wire wrapped around the filament to define a coil having a first end and a second end; a high temperature coating Sur rounding at least a portion of the filament and the coil; a first electrode electrically connected to the first end of the coil; and a second electrode electrically connected to the second end of the coil.