Katholieke Universiteit Leuven

Vanderbilt University

Katholieke Universiteit Leuven, Ku Leuven R&d

K.u. Leuven Research & Development

Bart De Moor

Raf Van De Plas

Etienne Waelkens

Richard Caprioli

Daniel Berckmans

Jean-Marie Aerts

Bert Pluymers

Frank De Smet

Nico Verbeeck

Greta Van Den Berghe

Tom Van Herpe

The present invention relates generally to a species (analyte) separation and analysis system, for instance a spectrometry system, comprising a processor for receiving and processing signals from said its detector to remove undesirable variation or noise before further processing into a spectrum, whereby the processor is programmed by a novel program for a normalization preprocessing of the signals of said separation and analysis system.

Intensity normalization in imaging mass spectrometry

Imaging mass spectrometry (IMS) has become a prime tool for studying the distribution of biomolecules in tissue. Although IMS data sets can become very large, computational methods have made it practically feasible to search these experiments for relevant findings. However, these methods lack access to an important source of information that many human interpretations rely upon: anatomical insight. In this work, this need is addressed by (1) integrating a curated anatomical data source with an empirically acquired IMS data source, establishing an algorithm-accessible link between them; and (2) demonstrating the potential of such an IMS-anatomical atlas link by applying it toward automated anatomical interpretation of ion distributions in tissue.

System for interpretation of image patterns in terms of anatomical or curated patterns

Present invention is a system of blood glucose monitoring and intensive insulin therapy in a ICU for strict maintenance of normoglycemia which reduces intensive care and hospital mortality and morbidity of critically ill adult patients. The findings of present study also reveal factors determining insulin doses needed to maintain normoglycemia as well as the impact of insulin dose versus blood glucose level on the observed outcome benefits have been established. The invention provides a control system that adapts the flow of the insulin infusion based on insulin requirement calculated by blood glucose levels and clinical parameters such as history of diabetes, Body Mass Index, blood glucose level on admission, reason of ICU admission, time in the ICU, type and severity of illness, caloric intake, obesity, drugs affecting insulin sensitivity). This automated insulin monitoring systems significantly reduces the workload and human resource management problems for intensive insulin therapy in patients in the ICU.

Automatic infusion system based on an adaptive patient model

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Bierbeek, Belgium

Bart De Moor