Publications by authors named "A Baretta"
Background: To say data is revolutionising the medical sector would be a vast understatement. The amount of medical data available today is unprecedented and has the potential to enable to date unseen forms of healthcare. To process this huge amount of data, an equally huge amount of computing power is required, which cannot be provided by regular desktop computers.
View Article and Find Full Text PDFThe use of in silico trials is expected to play an increasingly important role in the development and regulatory evaluation of new medical products. Among the advantages that in silico approaches offer, is that they permit testing of drug candidates and new medical devices using virtual patients or computational emulations of preclinical experiments, allowing to refine, reduce or even replace time-consuming and costly benchtop/in vitro/ex vivo experiments as well as the involvement of animals and humans in in vivo studies. To facilitate and widen the adoption of in silico trials, InSilicoTrials Technologies has developed a cloud-based platform, hosting healthcare simulation tools for different bench, preclinical and clinical evaluations, and for diverse disease areas.
View Article and Find Full Text PDFComparison of respiratory muscle strength through manovacuometry in the early postoperative period of bariatric surgery by laparotomy and laparoscopy.
Rev Col Bras Cir
July 2022
Article Synopsis
- Surgical treatment for obesity, particularly through gastric bypass, significantly affects respiratory mechanics in patients.
- This study compares respiratory muscle strength between patients undergoing bariatric surgery via laparotomy and laparoscopy during their hospital stay.
- Findings indicate that laparotomy patients experience greater reductions in respiratory strength and more severe pain compared to those who had laparoscopic surgery, with no return to baseline strength in the former group by discharge.
Computational models of cardiovascular physiology can inform clinical decision-making, providing a physically consistent framework to assess vascular pressures and flow distributions, and aiding in treatment planning. In particular, lumped parameter network (LPN) models that make an analogy to electrical circuits offer a fast and surprisingly realistic method to reproduce the circulatory physiology. The complexity of LPN models can vary significantly to account, for example, for cardiac and valve function, respiration, autoregulation, and time-dependent hemodynamics.
View Article and Find Full Text PDFNewborns with single ventricle physiology are usually palliated with a multi-staged procedure. When cardiovascular complications e.g.
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