Publications by authors named "D Bernardini"

Introduction: Indoleamine-2,3-dioxygenase (IDO) converts L-tryptophan (T) to L-kynurenine (K) resulting in an immunosuppressive microenvironment. Aim of the current study is to evaluate in patients with neuroendocrine tumor (NET): 1) T and K concentrations; 2) correlation with clinical outcome; 3) relationship between IDO activity and inflammatory cytokines.

Methods: A cross-sectional study was performed to investigate the IDO pathway in patients in follow-up for NET.

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Background: An accurate assessment of the evolution of GI endoscopy volumes is warranted to identify long-term trends and to help anticipate training, infrastructure and human resource needs. The main objective of this longitudinal study was to evaluate the evolution of GI endoscopy in France.

Methods: This retrospective study consisted of a cross-sectional analysis repeated each year from 2008 to 2018 using data from a national health database related to hospital admissions.

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Background: Pharmacovigilance (PV) is the science and activities relating to the detection, assessment, understanding, and prevention of adverse effects or any other medicine/vaccine-related problem. Since its inception in the 1960s, PV has undergone continuous evolution, progressing from a basic level mainly focused on the collection and analysis of cases in its earliest years to a complex system regulated by rigorous standards and laws with modern PV. In recent years, PV has faced the challenge of adapting to rapid scientific advancements, the complexity of the pharma industry, and the digital revolution.

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6D pose recognition has been a crucial factor in the success of robotic grasping, and recent deep learning based approaches have achieved remarkable results on benchmarks. However, their generalization capabilities in real-world applications remain unclear. To overcome this gap, we introduce 6IMPOSE, a novel framework for sim-to-real data generation and 6D pose estimation.

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Deficiency of dihydropyrimidine dehydrogenase (DPD), encoded by the DPYD gene, is associated with severe toxicity induced by the anti-cancer drug 5-Fluorouracil (5-FU). DPYD genotyping of four recommended polymorphisms is widely used to predict toxicity, yet their prediction power is limited. Increasing availability of next generation sequencing (NGS) will allow us to screen rare variants, predicting a larger fraction of DPD deficiencies.

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