Efficacy and safety of switching therapy from chenodeoxycholic acid to cholic acid in Japanese patients with bile acid synthesis disorders.

Objectives: This study aimed to assess the safety and efficacy of cholic acid (CA) treatment over 74 weeks in Japanese patients with inherited enzymatic bile acid synthesis disorders (BASD).

Methods: This phase 3, open-label, single-arm study enrolled four Japanese patients diagnosed with BASD, including two with 3β-hydroxy- -C-steroid dehydrogenase/isomerase (HSD3B7) deficiency and two with -3-oxosteroid 5β-reductase (SRD5B1) deficiency. The patients had received chenodeoxycholic acid (CDCA) treatment but were switched to CA treatment.

Closure of gastric mucosal defects using the reopenable-clip over the line method to decrease the risk of bleeding after endoscopic submucosal dissection: a multicenter propensity score-matched case-control study (with video).

Background And Aims: Endoscopic submucosal dissection (ESD) is a minimally invasive treatment for early gastric cancer. However, post-ESD bleeding presents significant risks. Closing mucosal defects following ESD may reduce the incidence of post-ESD bleeding.

Long short-term memory algorithm for personalized tacrolimus dosing: A simple and effective time series forecasting approach post-lung transplantation.

Background: Management of tacrolimus trough levels (TTLs) influences morbidity and mortality after lung transplantation. Several studies have explored pharmacokinetic and artificial intelligence models to monitor tacrolimus levels. However, many models depend on a wide range of variables, some of which, like genetic polymorphisms, are not commonly tested for in regular clinical practice.

Deep learning-based approach for acquisition time reduction in ventilation SPECT in patients after lung transplantation.

We aimed to evaluate the image quality and diagnostic performance of chronic lung allograft dysfunction (CLAD) with lung ventilation single-photon emission computed tomography (SPECT) images acquired briefly using a convolutional neural network (CNN) in patients after lung transplantation and to explore the feasibility of short acquisition times. We retrospectively identified 93 consecutive lung-transplant recipients who underwent ventilation SPECT/computed tomography (CT). We employed a CNN to distinguish the images acquired in full time from those acquired in a short time.