Publications by authors named "Michel T Nevessignsky"

Artificial intelligence (AI) uses sophisticated algorithms to "learn" from large volumes of data. This could be used to optimise recruitment of blood donors through predictive modelling of future blood supply, based on previous donation and transfusion demand. We sought to assess utilisation of predictive modelling and AI blood establishments (BE) and conducted predictive modelling to illustrate its use.

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Article Synopsis
  • The DAWn-Plasma trial is investigating the effectiveness and safety of using convalescent plasma in addition to standard care for COVID-19 patients hospitalized in Belgium.
  • The study involves randomizing patients into two groups: one receiving convalescent plasma and the other receiving standard care alone, with a goal of enrolling 483 participants across multiple centers.
  • The primary focus is to assess whether convalescent plasma affects the need for mechanical ventilation or mortality by day 15, along with evaluating patients' clinical status and the safety of the treatment.
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Mesenchymal stromal cells (MSC) are involved in tissue repair and in the regulation of immune responses. MSC express Toll-like receptors (TLR) known to link innate and adaptive immunity. We hypothesized that TLR signaling could influence human MSC (hMSC) function.

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