Idiopathic Vanishing Bile Duct Syndrome in a Young Female: A Case Report.

Vanishing bile duct syndrome (VBDS) is characterized by the progressive loss and destruction of the intrahepatic bile ducts, leading to bile stasis and associated symptoms such as jaundice. This condition is commonly associated with drug side effects, infections, neoplasms, and autoimmune diseases, but the precise mechanism of its development is unclear. Although VBDS can be diagnosed based on the patient's symptoms and disease progression, a liver biopsy is essential for confirmation, and the prognosis can vary significantly.

Deep learning-based dynamic ventilatory threshold estimation from electrocardiograms.

Background And Objective: The ventilatory threshold (VT) marks the transition from aerobic to anaerobic metabolism and is used to assess cardiorespiratory endurance. A conventional way to assess VT is cardiopulmonary exercise testing, which requires a gas analyzer. Another method for measuring VT involves calculating the heart rate variability (HRV) from an electrocardiogram (ECG) by computing the variability of heartbeats.

Prediction of Lower Extremity Multi-Joint Angles during Overground Walking by Using a Single IMU with a Low Frequency Based on an LSTM Recurrent Neural Network.

The joint angle during gait is an important indicator, such as injury risk index, rehabilitation status evaluation, etc. To analyze gait, inertial measurement unit (IMU) sensors have been used in studies and continuously developed; however, they are difficult to utilize in daily life because of the inconvenience of having to attach multiple sensors together and the difficulty of long-term use due to the battery consumption required for high data sampling rates. To overcome these problems, this study propose a multi-joint angle estimation method based on a long short-term memory (LSTM) recurrent neural network with a single low-frequency (23 Hz) IMU sensor.

Heart-lung transplantation for refractory diffuse alveolar hemorrhage supported by prolonged extracorporeal membrane oxygenation after cardiogenic shock from ST segment elevation myocardial infarction: a case report.

Diffuse alveolar hemorrhage after percutaneous coronary intervention is a rare but fatal complication. Although timely application of extracorporeal membrane oxygenator and discontinuation of antiplatelet/anticoagulation is the treatment of choice, bleeding is often irreversible. Herein, we introduce a patient with refractory diffuse alveolar hemorrhage after prolonged extracorporeal membrane oxygenator and percutaneous coronary intervention, who was eventually rescued with heart-lung transplantation.

Ambulatory and Laboratory Stress Detection Based on Raw Electrocardiogram Signals Using a Convolutional Neural Network.

The goals of this study are the suggestion of a better classification method for detecting stressed states based on raw electrocardiogram (ECG) data and a method for training a deep neural network (DNN) with a smaller data set. We suggest an end-to-end architecture to detect stress using raw ECGs. The architecture consists of successive stages that contain convolutional layers.

Treatment of Pulmonary Tumor Embolism from Choriocarcinoma: Extracorporeal Membrane Oxygenation as a Bridge through Chemotherapy.

A 22-year-old woman with a 1-month history of shortness of breath that was treated as a case of tuberculosis and pulmonary embolism was referred to the authors' hospital. Because of the hemodynamic instability in this patient, venoarterial extracorporeal membrane oxygenation (ECMO) was administered in the intensive care unit. She underwent a pulmonary embolectomy for the treatment of progressive circulatory collapse secondary to a pulmonary embolism.