Publications by authors named "P M Frossard"

This study presents a new procedure for high-precision Sm isotope analysis by thermal ionisation mass spectrometry (TIMS) for geological samples. A four-step chemical separation scheme results in sharp separation of Sm and Nd from the same sample aliquot. The first step utilises anion exchange resin to remove Fe from the sample solution.

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In patients with coronary artery disease, the prediction of future cardiac events such as myocardial infarction (MI) remains a major challenge. In this work, we propose a novel anatomy-informed multimodal deep learning framework to predict future MI from clinical data and Invasive Coronary Angiography (ICA) images. The images are analyzed by Convolutional Neural Networks (CNNs) guided by anatomical information, and the clinical data by an Artificial Neural Network (ANN).

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Background: Chronic musculoskeletal pain syndromes, including fibromyalgia, are heterogeneous entities with a major socioeconomic burden. Multimodal treatment programmes have shown greater efficacy than conventional approaches for these patients, at least in the short term. A profound understanding of chronic musculoskeletal pain syndrome patients treated in multimodal treatment programmes is important for their development and to provide insight into these conditions.

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Objectives: The cavo-atrial junction (CAJ) is the most appropriate central venous catheters CVC tip location to reduce complications. Among chest X-ray (CXR) landmarks for tips assessment, only the pericardial reflection lies in the same plane as the vascular structures. We aimed to evaluate the observer variability to determine tip positioning on CXR, using CT as a gold standard.

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Article Synopsis
  • The genetic factors contributing to stroke risk in South Asians remain largely unstudied, with a recent study examining 75,000 Pakistanis using exome-wide sequencing.
  • A specific genetic variant, NOTCH3 p.Arg1231Cys, was found to be more common in South Asians (0.58%) compared to Western Europeans (0.019%) and was significantly linked to hemorrhagic and overall stroke risk.
  • This variant accounts for about 2.0% of hemorrhagic strokes and 1.1% of all strokes in South Asians, emphasizing the importance of including diverse populations in genetic research for better understanding and treatment of stroke.
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