Embodiments relate to surgical systems and methods. The system includes a main assembly having an IMU subsystem, camera, scope head assembly, and processor. Processor processes images and IMU information, including determining whether images include a distal end of the scope head assembly and a cannulation target. Responsive to a determination that images include the distal end of the scope head assembly, the processor generates 3-dimensional position of distal end of the scope head assembly. When images are determined to include the cannulation target, the processor generates 3-dimensional positions of the cannulation target. Processor also generates predictions of one or more real-time trajectory paths for the distal end of the scope head assembly to cannulate the cannulation target.

A method for pancreatic mass diagnosis and patient management includes: receiving CT images of a pancreas of a patient, the pancreas of the patient including a mass; performing a segmentation process on the CT images of the pancreas and the mass to obtain a segmentation mask of the pancreas and the mass of the patient; performing a mask-to-mesh process on the segmentation mask of the pancreas and the mass of the patient to obtain a mesh model of the pancreas and the mass of the patient; performing a classification process on the mesh model of the pancreas and the mass of the patient to identify a type and a grade of a segmented pancreatic mass; and outputting updated CT images of the pancreas of the patient, the updated CT images including the segmented pancreatic mass highlighted thereon and the type and the grade of the segmented pancreatic mass annotated thereon.

Embodiments of the present invention relate to non-invasive methods and compositions for collecting detecting, measuring, and identifying target molecules. In some embodiments, methods and compositions relate to target molecules in gastrointestinal lavage fluid or feces.

A medical device containing a sensor, a motor, one or more plates, and a control unit, for treating diabetes. The medical device vibrates the pancreas thereby improving blood and secretory hormone circulation and enhancing the production of insulin.

An object is to provide a test method for pancreatic cancer, and further to provide a test method for pancreatic cancer capable of detecting pancreatic cancer even at earlier stages. The objects are solved by a method for examining the likelihood of having pancreatic cancer, the method including (1) measuring the amount of at least one anti-carbohydrate antibody selected from the group consisting of anti-3-sialyllactose carbohydrate antibody and anti-(LN)3 carbohydrate antibody in a biological sample obtained from a subject, wherein the anti-3-sialyllactose carbohydrate antibody is an antibody capable of binding to a carbohydrate represented by Neu5Ac? (2.fwdarw.3) Gal? (1.fwdarw.4) Glc or an antibody recognizing the carbohydrate, and wherein the anti-(LN)3 carbohydrate antibody is an antibody capable of binding to a carbohydrate represented by Gal?1.fwdarw.3GlcNAc?1.fwdarw.3Gal?1.fwdarw.4GlcNAc or an antibody recognizing the carbohydrate.

A method and system are provided for detecting pancreatic trauma in a trauma patient during a surgical operation. The method includes positioning a detection device in contact with the patient's pancreas, applying a chemical indicator to the detection device after removing the detection device from the patient, and detecting a chemical reaction on the detection device that is indicative of the pancreas releasing an enzyme as a result of pancreatic trauma.

A Pancreatic Ductal Adenocarcinoma (PDAC) image segmentation method, an electronic device, and a storage medium are provided. In the PDAC image segmentation method, a first model is trained using a first data set; and a second model is trained using a second data set. A third data set is obtained by annotating a to-be-annotated data set using the first model and the second model and a third model is trained using a fourth data set. A training set is obtained by modifying the first data set and the third data set using the third model and a segmentation model is obtained by training an nnUNet using the training set. A to-be-segmented PDAC image is input into the segmentation model, and a segmentation result is obtained. By utilizing the PDAC image segmentation method, a more accurate PDAC image segmentation is achieved.

The present disclosure concerns hyperthermic devices for treating vascular involvements related to cancer therapies, such as surgery. In specific embodiments, the device is configured to provide therapeutic heating to destroy vessel-encasing tumors while still protecting the vessel itself. In particular embodiments, the devices utilize two opposing semi-cylindrical shells that encase the vessel in need of treatment of a tumor thereon. In other devices, a flexible substrate is guided under and around the vessel and tumor thereon.

A device for capturing and concentrating volatile organic compounds (VOCs) in a sample of breath air. The device includes an intake for accepting an air sample; a disposable mouth piece; a sensor array for measuring physical parameters of the air sample; an exhaled air sampler for capturing a pre-determined volume of air; a concentrator for concentrating VOCs in the air sample; and an ionic liquid collector, the latter of which may be removed from the device. The ionic liquid collector, which may have one compartment or multiple compartments, includes at least one ionic liquid. Analysis of VOCs in the ionic liquid or liquids may identify biomarkers that can provide a medical diagnosis for a human patient based on a sample of breath air.

Methods for assessing a health condition of an individual using single coil magnetic induction tomography imaging are provided. A target area for medical imaging on a patient can be identified. A plurality of coil property measurements can be obtained using a single coil. The plurality of coil property measurements can be performed with the single coil at a plurality of discrete locations relative to the target area. The coil property measurements can be processed to generate an image of the conductivity distribution of the target area. The image can be analyzed to assess a health condition of the patient.