Abstract: The various embodiments disclosed herein relate to bone fixation or fusion devices, including intramedullary fixation or fusion devices that are implanted around the target bone. Certain device embodiments relates to devices that can be bent or otherwise deformed to replicate the natural or desired curve of the bone or joint being treated. In addition, other embodiments relate to implantation devices that can be used to implant or position the bone fixation or fusion devices.

Abstract: The present disclosure provides methods for applying artificial neural networks to flow cytometry data generated from biological samples to diagnose and characterize cancer in a subject. The disclosure also provides methods of training, testing, and validating artificial neural networks.

Abstract: The present disclosure provides methods for applying artificial neural networks to flow cytometry data generated from biological samples to diagnose and characterize cancer in a subject.

Abstract: The various embodiments disclosed herein relate to bone fixation or fusion devices, including intramedullary fixation or fusion devices that are implanted around the target bone. Certain device embodiments relates to devices that can be bent or otherwise deformed to replicate the natural or desired curve of the bone or joint being treated. In addition, other embodiments relate to implantation devices that can be used to implant or position the bone fixation or fusion devices.

Abstract: The various embodiments disclosed herein relate to bone fixation or fusion devices, including intramedullary fixation or fusion devices that are implanted around the target bone. Certain device embodiments relates to devices that can be bent or otherwise deformed to replicate the natural or desired curve of the bone or joint being treated. In addition, other embodiments relate to implantation devices that can be used to implant or position the bone fixation or fusion devices.

Abstract: The present disclosure provides methods for applying artificial neural networks to flow cytometry data generated from biological samples to diagnose and characterize cancer in a subject. The disclosure also provides methods of training, testing, and validating artificial neural networks.

Abstract: The present disclosure provides methods for applying artificial neural networks to flow cytometry data generated from biological samples to diagnose and characterize cancer in a subject. The disclosure also provides methods of training, testing, and validating artificial neural networks.

Abstract: The various embodiments disclosed herein relate to bone fixation or fusion devices, including intramedullary fixation or fusion devices that are implanted around the target bone. Certain device embodiments relates to devices that can be bent or otherwise deformed to replicate the natural or desired curve of the bone or joint being treated. In addition, other embodiments relate to implantation devices that can be used to implant or position the bone fixation or fusion devices.

Abstract: The various embodiments disclosed herein relate to bone fixation or fusion devices, including intramedullary fixation or fusion devices that are implanted around the target bone. Certain device embodiments relates to devices that can be bent or otherwise deformed to replicate the natural or desired curve of the bone or joint being treated. In addition, other embodiments relate to implantation devices that can be used to implant or position the bone fixation or fusion devices.

Abstract: The present disclosure provides methods for applying artificial neural networks to flow cytometry data generated from biological samples to diagnose and characterize cancer in a subject.

Abstract: The present disclosure provides methods for applying artificial neural networks to flow cytometry data generated from biological samples to diagnose and characterize cancer in a subject. The disclosure also provides methods of training, testing, and validating artificial neural networks.

Abstract: The present disclosure provides methods for applying artificial neural networks to flow cytometry data generated from biological samples to diagnose and characterize cancer in a subject.

Abstract: The present disclosure provides devices and systems for diagnosing and characterizing cancer in a subject. Devices include microfilters and microfiltration systems useful for the isolation and characterization of cells from a subject.

Abstract: The various embodiments disclosed herein relate to bone fixation or fusion devices, including intramedullary fixation or fusion devices that are implanted around the target bone. Certain device embodiments relates to devices that can be bent or otherwise deformed to replicate the natural or desired curve of the bone or joint being treated. In addition, other embodiments relate to implantation devices that can be used to implant or position the bone fixation or fusion devices.

Abstract: A system for arterial access for delivery of treatment devices is provided. In one embodiment, the system comprises a guidewire and a catheter. The catheter comprises a handle and a shaft. The shaft may be a steerable/deflectable tip shaft with a lumen adapted to allow passage of the guidewire at least partially there through. A passive sheath may also be provided to be delivered over the shaft. The handle controls the steerable/deflectable tip shaft and may be used to deflect the distal tip of the shaft.

Abstract: Methods and apparatus are provided that gather a patient's body tissue and then secure the gathered tissue in a reduced area utilizing a securing structure. The securing structure mainly resides on one side of the tissue to minimize or eliminate both foreign material and the amount of manipulation or activity on the other side of the tissue. The securing device is matched to the desired amount of tissue manipulation to minimize the structure. The gathered and secured tissue can surround a septal defect to obstruct or close the defect itself.

Abstract: A system for arterial access for delivery of treatment devices is provided. In one embodiment, the system comprises a guidewire and a catheter. The catheter comprises a handle and a shaft. The shaft may be a steerable/deflectable tip shaft with a lumen adapted to allow passage of the guidewire at least partially there through. A passive sheath may also be provided to be delivered over the shaft. The handle controls the steerable/deflectable tip shaft and may be used to deflect the distal tip of the shaft.

Abstract: Screen (10) for a user interface of a television schedule system and process consists of an array (24) of irregular cells (26), which vary in length, corresponding to different television program lengths of one half hour to one-and-one half hours or more. The array is arranged as three columns (28) of one-half hour in duration, and twelve rows (30) of program listings. Some of the program listings overlap two or more of the columns (28) because of their length. Because of the widely varying length of the cells (26), if a conventional cursor used to select a cell location were to simply step from one cell to another, the result would be abrupt changes in the screen (10) as the cursor moved from a cell (26) of several hours length to an adjacent cell in the same row. An effective way of taming the motion is to assume that behind every array (24) is an underlying array of regular cells. By restricting cursor movements to the regular cells, abrupt screen changes will be avoided.

Abstract: Side-port sheaths for catheter placement and translation are disclosed. The sheaths include a side-port opening through which a gliding catheter may be deployed during diagnosis or treatment of tissue. The side-port sheath may include a suspension ribbon used to deploy, or that aids in the deployment of, the embedded gliding catheter. The suspension ribbon may be slideably or fixably engaged with an outer surface of the sheath of the gliding catheter.

Abstract: Television schedule information transmission and utilization systems transmit TV schedule data and associated network control messages provided by computer as packets via the Video Blanking Interval (VBI) lines in the TV signal from various television program providers. This data is acquired by regional data processing systems and forwarded by the regional data processing systems to subscriber units and used to construct an internal database. This internal database can be accessed by the subscriber unit to display a TV schedule for the channels that are received by the user's TV.