CardiacField: computational echocardiography for automated heart function estimation using two-dimensional echocardiography probes.

Aims: Accurate heart function estimation is vital for detecting and monitoring cardiovascular diseases. While two-dimensional echocardiography (2DE) is widely accessible and used, it requires specialized training, is prone to inter-observer variability, and lacks comprehensive three-dimensional (3D) information. We introduce CardiacField, a computational echocardiography system using a 2DE probe for precise, automated left ventricular (LV) and right ventricular (RV) ejection fraction (EF) estimations, which is especially easy to use for non-cardiovascular healthcare practitioners.

Analysis of nanomedicine applications for inflammatory bowel disease: structural and temporal dynamics, research hotspots, and emerging trends.

Background: The application of nanomedicine in inflammatory bowel disease (IBD) has gained significant attention in the recent years. As the field rapidly evolves, analyzing research trends and identifying research hotpots are essential for guiding future advancements, and a comprehensive bibliometric can provide valuable insights.

Methods: The current research focused on publications from 2001 to 2024, and was sourced from the Web of Science Core Collection (WoSCC).

Hotspots and research trends of gut microbiome in polycystic ovary syndrome: a bibliometric analysis (2012-2023).

Introduction: Polycystic ovary syndrome (PCOS) is a common gynecological condition affecting individuals of reproductive age and is linked to the gut microbiome. This study aimed to identify the hotspots and research trends within the domain of the gut microbiome in PCOS through bibliometric analysis.

Methods: Utilizing bibliometric techniques, we examined the literature on the gut microbiome in PCOS from the Web of Science Core Collection spanning the period from 2012 to 2023.

Application of Multiple Base-Editing Mediated by Polycistronic tRNA-gRNA-Processing System in Pig Cells.

Gene edited pigs have extensive and important application value in the fields of agriculture and biomedicine. With the increasing demand in medical research and agricultural markets, more and more application scenarios require gene edited pigs to possess two or even more advantageous phenotypes simultaneously. The current production of multi gene edited pigs is inefficient, time-consuming, and costly, and there is an urgent need to develop efficient and accurate multi gene editing application technologies.