Abstract: An atherectomy system includes an atherectomy burr having one or more blood flow enhancement features that permit an increased level of blood flow past the burr relative to a blood flow that would result absent the one or more flow enhancement features. A drive mechanism is adapted to rotatably actuate the atherectomy burr.

Abstract: The present application relates to systems and methods for non-invasively determining at least one of left ventricular end diastolic pressure (LVEDP) or pulmonary capillary wedge pressure (PCWP) in a subject's heart, comprising: receiving, by a computer, a plurality of signals from a plurality of non-invasive sensors that measure a plurality of physiological effects that are correlated with functioning of said subject's heart, said plurality of physiological effects including at least one signal correlated with left ventricular blood pressure and at least one signal correlated with timing of heartbeat cycles of said subject's heart; training a machine learning model on said computer using said plurality of signals for periods of time in which said plurality of signals were being generated during a heart failure event of said subject's heart; determining said LVEDP or PCWP using said machine learning model at a time subsequent to said training and subsequent to said heart failure event.

Abstract: Systems and methods for performing transcatheter coronary artery bypass grafting procedures are provided. The methods generally involve passing the graft from the aorta to the coronary artery through the pericardial space.

Abstract: The present application relates to systems and methods for non-invasively determining at least one of left ventricular end diastolic pressure (LVEDP) or pulmonary capillary wedge pressure (PCWP) in a subject's heart, comprising: receiving, by a computer, a plurality of signals from a plurality of non-invasive sensors that measure a plurality of physiological effects that are correlated with functioning of said subject's heart, said plurality of physiological effects including at least one signal correlated with left ventricular blood pressure and at least one signal correlated with timing of heartbeat cycles of said subject's heart; training a machine learning model on said computer using said plurality of signals for periods of time in which said plurality of signals were being generated during a heart failure event of said subject's heart; determining said LVEDP or PCWP using said machine learning model at a time subsequent to said training and subsequent to said heart failure event.

Abstract: A stent is provided having attachment members for allowing attachment of a sheath or sheaths. Accordingly, a practitioner is able to selectively choose a desirable sheath, such as a polymeric sleeve, a biomaterial, or a natural blood vessel, at a point-of-use and attach it to the sheath. The attachment members may be bendable tabs and/or secondary support stents.