Abstract: A multi lumen catheter assembly. The assembly provides an expandable, low profile, fixed length sheath and catheter, with fixed infusion ports. The assembly has an expandable outer sheath that expands upon pressure activation with a fluid and the sheath allows the fluid to exit from at least one predetermined fixed location from a distal end of the catheter assembly. The catheter assembly can be used in various medical device procedures, such as a TIPS (Transjugular Intrahepatic Portosystemic Shunt) procedure, or anywhere a low profile, multi lumen, infusion catheter system is desired.

Abstract: Pharmaceutical compositions comprising: one or more bromodomain and extra terminal domain (BET) proteolysis targeting chimera (PROTAC) (BET-PROTAC) therapeutic agents or one or more cyclin-dependent kinase 9 (CDK9) PROTAC (CDK9-PROTAC) therapeutic agents; and one or more kinase inhibitors, one or more KRAS inhibitors, or one or more autophagy inhibitors; and methods of treating cancer in a human patient by administering such pharmaceutical compositions are described herein.

Abstract: The present disclosure provides a multi-analyte column comprising at least four layers least four layers of multiplexer inhibitor beads, wherein each layer has specific binding affinity for multiple kinases, and methods of generating a kinome profile of a cell, of diagnosing cancer based on the kinome profile of a patient, of determining a cancer treatment regimen, assessing a treatment regimen, or improving the effectiveness of a treatment regimen based on the kinome profile of a patient, and methods for predicting the development of resistance to a chemotherapy regimen based on the kinome profile of a patient.

Abstract: One aspect of the invention provides a computer-implemented method of identifying one or more clinical factors associated with an artificial intelligence prediction. The computer implemented method includes: applying a previously trained deep neural network to one or more images for a subject to produce a prediction, the previously trained deep neural network comprising a plurality of nodes; comparing outputs of the nodes to previously identified patterns of node outputs for a plurality of individual clinical factors; and identifying which of the plurality of individual clinical factors are most correlated with the outputs of the nodes.

Abstract: A mechanical property of anatomy is estimated from a patient in vivo, such as estimating a patient-specific material property of a valve. A morphological model is used to determine anatomy dynamics. A biomechanical model, using the anatomy dynamics, predicts the dynamics, based, at least in part, on one or more material properties. Using an inverse solution based on comparison of dynamics predicted by the biomechanical model and the dynamics determined from the morphological model, values for the material properties are determined.

Abstract: A mechanical property of anatomy is estimated from a patient in vivo, such as estimating a patient-specific material property of a valve. A morphological model is used to determine anatomy dynamics. A biomechanical model, using the anatomy dynamics, predicts the dynamics, based, at least in part, on one or more material properties. Using an inverse solution based on comparison of dynamics predicted by the biomechanical model and the dynamics determined from the morphological model, values for the material properties are determined.

Abstract: This invention is directed to a multi-analyte column comprising two or more layers with a first solid support having specific binding affinity for kinases and a second solid support having non-specific binding affinity for kinases. Methods are also provided, including methods of detecting low abundance kinases, predicting resistance to chemotherapy, determining cancer prognosis, and improving the effectiveness of a treatment regimen.

Abstract: An automatic responsivity control (ARC) circuit compensates for the nonuniform deviation .DELTA.R in the average responsivity R of a column of photodetectors from a nominal responsivity R.sub.0 which is uniform from column to column. The ARC circuit first establishes a reference level by subtracting two known calibration signals occurring during optical retracing and then multiplies the reference level by each image signal occurring during optical scanning. The resulting product contains undesirable signal components or terms which are algebraic functions of .DELTA.R.sup.2 and other terms which are algebraic functions of .DELTA.R. The terms in .DELTA.R.sup.2 are ignored because .DELTA.R is significantly less than R.sub.0. The terms in .DELTA.R are eliminated by establishing a second reference level, which itself includes terms in .DELTA.R, and then subtracting the foregoing product from the second reference level.

Abstract: As CCD circuit for restoring to a common DC level, data received from a plurality of detector channels of a scanned array so as to overcome the effect of variations in detector parameters and other non-uniformities in the circuit. The DC correction value is established during retrace time by storing a representative time integrated data charge packet when energy from a cold reference surface is being applied to the detectors. During the scan time of the field of view by the detectors the representative charge packet is utilized to provide a DC restoration or correction charge to each data charge packet received from the detectors. The system thus standardizes to a common DC level, the output data from a plurality of channels.