Objective: To discuss the feasibility and experience of treating valvular heart diseases with thoracoscopy-assisted mitral valve replacement concomitant with tricuspid valvuloplasty, with domestically manufactured pipeline products for cardiopulmonary bypass.
Methods: A total of 135 patients with valvular heart disease were admitted to our hospital between January 2011 and January 2013. They received thoracoscopy-assisted mitral valve replacement concomitant with tricuspid valvuloplasty, with domestically manufactured pipeline products. A cardiopulmonary bypass with domestically-manufactured pipeline products was established during the surgery. The procedure was accomplished with the assistance of thoracoscopy through a small incision in the right chest wall.
Results: All 135 patients underwent a successful surgery, and were followed up for the duration of half a year to two years. None of them displayed any evidence of complications. Our procedure had the advantage of fewer complications and a significantly shortened time period for the patient care and hospitalization. As opposed to imported pipeline products for cardiopulmonary bypass, our procedure had the advantage of similar clinical results at a lower cost.
Conclusions: Thoracoscopy-assisted mitral valve replacement concomitant with tricuspid valvuloplasty was proved to be a safe and effective method for cardiopulmonary bypass, with the use of domestically manufactured pipeline products.
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http://dx.doi.org/10.1186/s13019-014-0160-2 | DOI Listing |
Pharmaceutics
December 2024
Gennova Biopharmaceuticals Ltd., ITBT Park, Hinjawadi Phase 2 Rd, Hinjewadi Rajiv Gandhi Infotech Park, Hinjawadi, Pune 411057, India.
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School of Life Sciences, Faculty of Science, The University of Technology Sydney, Sydney, NSW, Australia.
Metabolomics analyses enable the examination and identification of endogenous biochemical reaction products, revealing information on the metabolic pathways and processes active within a living cell or organism. Determination of metabolic shifts can provide important information on a treatment or disease. Unlike other omics fields that typically have analytes of the same chemical class with common building blocks, those that fall under the nomenclature of metabolites encompass a wide array of different compounds with very diverse physiochemical properties.
View Article and Find Full Text PDFBioinformatics
January 2025
Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, Warsaw, 02-106, Poland.
Motivation: It is a challenging task to decipher the mechanisms of a complex system from observational data; especially in biology, where systems are sophisticated, measurements coarse and multi-modality is a common trait. The typical approaches of inferring a network of relationships between system's components struggle with the quality and feasibility of estimation, as well as with the interpretability of the results they yield.Said issues can be avoided, however, when dealing with a simpler problem of tracking only the influence paths, defined as circuits relying the information of an experimental perturbation as it spreads through the system.
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January 2025
School of Information Technology, Sripatum University, Bangkok 10900, Thailand.
This study introduces a novel AI-driven approach to support elderly patients in Thailand with medication management, focusing on accurate drug label interpretation. Two model architectures were explored: a Two-Stage Optical Character Recognition (OCR) and Large Language Model (LLM) pipeline combining EasyOCR with Qwen2-72b-instruct and a Uni-Stage Visual Question Answering (VQA) model using Qwen2-72b-VL. Both models operated in a zero-shot capacity, utilizing Retrieval-Augmented Generation (RAG) with DrugBank references to ensure contextual relevance and accuracy.
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January 2025
Department of Electronic and Biomedical Engineering, Universitat de Barcelona, Martí i Franquès 1, 08028 Barcelona, Spain.
In recent years, the wine industry has been researching how to improve wine quality along the production value chain. In this scenario, we present here a new tool, MicroVi, a cost-effective chip-sized microscopy solution to detect and count yeast cells in wine samples. We demonstrate that this novel microscopy setup is able to measure the same type of samples as an optical microscopy system, but with smaller size equipment and with automated cell count configuration.
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