Abstract: Described herein is a computer implemented method. The method includes receiving, via an input device, first user input drawing an input shape and generating, based on the first user input, original drawing data that includes an ordered set of points that define the input shape. The original drawing is processed to generate an input vector which also includes an ordered set of points. The input shape is then classified as a first template shape by processing the input vector using a machine learning model. A new shape is then generated based on the first template shape and the original drawing data.

Abstract: Catheter apparatuses, systems, and methods for achieving renal neuromodulation by intravascular access are disclosed herein. One aspect of the present technology, for example, is directed to a treatment device having a multi-electrode array configured to be delivered to a renal blood vessel. The array is selectively transformable between a delivery or low-profile state (e.g., a generally straight shape) and a deployed state (e.g., a radially expanded, generally helical shape). The multi-electrode array is sized and shaped so that the electrodes or energy delivery elements contact an interior wall of the renal blood vessel when the array is in the deployed (e.g., helical) state. The electrodes or energy delivery elements are configured for direct and/or indirect application of thermal and/or electrical energy to heat or otherwise electrically modulate neural fibers that contribute to renal function or of vascular structures that feed or perfuse the neural fibers.

Abstract: Described herein is a computer implemented method. The method includes receiving a user input selecting a deformable text shape that is defined by shape data that includes path data, slice data, viewbox data, and textbox data. A further user input that resizes the viewbox of the deformable text shape is received, and in response resized shape data is calculated by calculating resized path data and resized textbox data. A resized deformable text shape is then displayed in accordance with the resized shape data.

Abstract: Described here are methods and systems for the manipulation of ovarian tissues. The methods and systems may be used in the treatment of polycystic ovary syndrome (PCOS). The systems and methods may also be useful in the treatment of infertility associated with PCOS.

Abstract: Described herein is a computer implemented method. The method includes receiving, via an input device, first user input drawing an input shape and generating, based on the first user input, original drawing data that includes an ordered set of points that define the input shape. The original drawing is processed to generate an input vector which also includes an ordered set of points. The input shape is then classified as a first template shape by processing the input vector using a machine learning model. A new shape is then generated based on the first template shape and the original drawing data.

Abstract: The present disclosure relates to devices, systems and methods for evaluating the success of a treatment applied to tissue in a patient, such as a radio frequency ablative treatment used to neuromodulate nerves associated with the renal artery. A system monitors parameters or values generated during the course of a treatment. Feedback provided to an operator is based on the monitored values and relates to an assessment of the likelihood that a completed treatment was technically successful. In other embodiments, parameters or values generated during the course of an incomplete treatment (such as due to high temperature or high impedance conditions) may be evaluated to provide additional instructions or feedback to an operator.

Abstract: Described herein is a computer implemented method. The method includes receiving, via an input device, first user input drawing an input shape and generating, based on the first user input, original drawing data that includes an ordered set of points that define the input shape. The original drawing is processed to generate an input vector which also includes an ordered set of points. The input shape is then classified as a first template shape by processing the input vector using a machine learning model. A new shape is then generated based on the first template shape and the original drawing data.

Abstract: Described here are methods and systems for the manipulation of ovarian tissues. The methods and systems may be used in the treatment of polycystic ovary syndrome (PCOS). The systems and methods may also be useful in the treatment of infertility associated with PCOS.

Abstract: The present disclosure relates to devices, systems and methods for evaluating the success of a treatment applied to tissue in a patient, such as a radio frequency ablative treatment used to neuromodulate nerves associated with the renal artery. A system monitors parameters or values generated during the course of a treatment. Feedback provided to an operator is based on the monitored values and relates to an assessment of the likelihood that a completed treatment was technically successful. In other embodiments, parameters or values generated during the course of an incomplete treatment (such as due to high temperature or high impedance conditions) may be evaluated to provide additional instructions or feedback to an operator.

Abstract: A method of generating a metabolic digital twin of a subject for clinical decision support in relation to a medical condition, the method comprising: receiving data indicative of an extended metabolic map comprising nodes representing a plurality of metabolites and one or more non-metabolic parameters, and edges representing relationships between them; determining an extended stoichiometry matrix at least partly from the extended metabolic map, wherein coefficients in the extended stoichiometry matrix define quantitative relationships between abundances of the metabolites and/or values of the non-metabolic parameters; receiving data indicative of measurements of a sample of the subject, wherein the measurements comprise measurements of one or more of available metabolite concentrations for one or more of the plurality of metabolites, and measurements of one or more of the non-metabolic parameters; and optimizing, subject to one or more constraints, an objective function that depends on a product of the stoich

Abstract: Systems, devices, and methods for transvascular ablation of target tissue. The devices and methods may, in some examples, be used for splanchnic nerve ablation to increase splanchnic venous blood capacitance to treat at least one of heart failure and hypertension. For example, the devices disclosed herein may be advanced endovascularly to a target vessel in the region of a thoracic splanchnic nerve (TSN), such as a greater splanchnic nerve (GSN) or a TSN nerve root. Also disclosed are method of treating heart failure, such as HFpEF, by endovascularly ablating a thoracic splanchnic nerve to increase venous capacitance and reduce pulmonary blood pressure.

Abstract: Described herein is a computer implemented method. The method includes receiving a user input selecting a deformable text shape that is defined by shape data that includes path data, slice data, viewbox data, and textbox data. A further user input that resizes the viewbox of the deformable text shape is received, and in response resized shape data is calculated by calculating resized path data and resized textbox data. A resized deformable text shape is then displayed in accordance with the resized shape data.

Abstract: Methods and system are provided for thermally-induced renal neuromodulation. Thermally-induced renal neuromodulation may be achieved via direct and/or via indirect application of thermal energy to heat or cool neural fibers that contribute to renal function, or of vascular structures that feed or perfuse the neural fibers. In some embodiments, parameters of the neural fibers, of non-target tissue, or of the thermal energy delivery element, may be monitored via one or more sensors for controlling the thermally-induced neuromodulation. In some embodiments, protective elements may be provided to reduce a degree of thermal damage induced in the non-target tissues. In some embodiments, thermally-induced renal neuromodulation is achieved via delivery of a pulsed thermal therapy.

Abstract: Techniques for evaluating neural electrical activity of renal nerves of a patient for which a renal denervation procedure has been or is going to be performed are described. A distal portion of a guide catheter is inserted through an abdominal aorta so the distal portion is positioned adjacent to a renal artery ostium, or in a proximal portion of the renal artery. The guide catheter is used to insert a distal portion of a mapping catheter within the renal artery, and a stimulation electrode positioned in the abdominal aorta (within a specified distance of the renal artery ostium) is used to deliver electrical stimulation pulse(s) to evoke a neural electrical response from renal nerves in tissue surrounding the renal artery. A sense electrode positioned in the renal artery, downstream from the stimulation electrode, is used to sense the neural electrical activity evoked in response to the stimulation pulse(s).

Abstract: Apparatus, systems, and methods for achieving thermally-induced renal neuromodulation by intravascular access are disclosed herein. One aspect of the present application, for example, is directed to apparatuses, systems, and methods that incorporate a treatment device comprising an elongated shaft. The elongated shaft is sized and configured to deliver a thermal element to a renal artery via an intravascular path. Thermally-induced renal neuromodulation may be achieved via direct and/or via indirect application of thermal energy to heat or cool neural fibers that contribute to renal function, or of vascular structures that feed or perfuse the neural fibers.

Abstract: Systems, devices, and methods for transvascular ablation of target tissue are disclosed herein. The devices and methods may, in some examples, be used for splanchnic nerve ablation to increase splanchnic venous blood capacitance to treat at least one of heart failure and hypertension. For example, the devices disclosed herein may be advanced endovascularly to a target vessel in the region of a thoracic splanchnic nerve (TSN), such as a greater splanchnic nerve (GSN) or a TSN nerve root. Also disclosed are method of treating heart failure, such as HFpEF, by endovascularly ablating a thoracic splanchnic nerve to increase venous capacitance and reduce pulmonary blood pressure.

Abstract: Systems, devices, and methods for transvascular ablation of target tissue are disclosed herein. The devices and methods may, in some examples, be used for splanchnic nerve ablation to increase splanchnic venous blood capacitance to treat at least one of heart failure and hypertension. For example, the devices disclosed herein may be advanced endovascularly to a target vessel in the region of a thoracic splanchnic nerve (TSN), such as a greater splanchnic nerve (GSN) or a TSN nerve root. Also disclosed are method of treating heart failure, such as HFpEF, by endovascularly ablating a thoracic splanchnic nerve to increase venous capacitance and reduce pulmonary blood pressure.