Wim Verhaegh
Philips
117 Papers
799 Citations
Wim Verhaegh is an academic researcher from Philips. The author has contributed to research in topics: Computer science & Scheduling (computing). The author has an hindex of 25, co-authored 112 publications. Previous affiliations of Wim Verhaegh include Utrecht University.
Chat about Author
Papers
Abstract P5-02-08: Androgen receptor pathway activity and the ratio between androgen and estrogen receptor pathway activity in breast cancer subtypes
Anja van de Stolpe,Yvonne Wesseling-Rozendaal,Márcia Alves De Inda,Henk van Ooijen,Wim Verhaegh +4 more
TL;DR: The ratio between functional AR and ER pathway activities and the ratio between androgen and estrogen receptor pathway activity in breast cancer subtypes is investigated as this may have an advantage in guiding therapy choice.
1
•Posted Content
Prior Biological Knowledge And Epigenetic Information Enhances Prediction Accuracy Of Bayesian Wnt Pathway
TL;DR: Development of simple static bayesian network models of varying complexity that encompasses prior partially available biological knowledge about intra and extra cellular factors affecting the Wnt pathway and incorporates epigenetic information like methylation and histone modification of a few genes known to have inhibitory affect are focused on.
Corrigendum: Improved diagnosis of inflammatory bowel disease and prediction and monitoring of response to anti-TNF alpha treatment based on measurement of signal transduction pathway activity
TL;DR: In this article , the authors correct the article DOI: 10.3389/fphar.2022.1008976 and 10.3489/FphAR.
Privacy Protection in Collaborative Filtering by Encrypted Computation
Wim Verhaegh,Aukje E. M. van Duijnhoven,Pim Tuyls,Jan Korst +3 more
- 01 Jan 2006
TL;DR: Although collaborative filtering is considered in this chapter, the techniques of comparing profiles using encrypted data only is useful in a much wider range of applications.
Measuring host immune response status by simultaneous quantitative measurement of activity of signal transduction pathways that coordinate functional activity of immune cells from innate and adaptive immune system
Abstract: For many diseases, including cancer, viral infections such as COVID-19, bacterial infections, and auto-immune diseases, the immune response is a major determinant of progression, response to therapy, and clinical outcome. Innate and adaptive immune response are controlled by coordinated activity of multiple immune cell types. The functional activity state of immune cells is determined by cellular signal transduction pathways (STPs). A novel mRNA-based signaling pathway assay platform has been developed to quantitatively measure relevant STP activities in all types of immune cells and mixed immune cell samples for experimental and diagnostic purposes. We generated a STP activity profile, termed Immune-Pathway Activity Profile (I-PAP), for a variety of immune cell types in resting and activated state, and provide a first example for use in patient samples. MethodsThe technology to measure STP activity has been described for androgen and estrogen receptor, PI3K, MAPK, TGF{beta}, Notch, NF{kappa}B, JAK-STAT1/2, and JAK-STAT3 pathways. STP activity was measured on Affymetrix expression microarray data from preclinical studies containing public data from different types of immune cells, resting/naive or immune-activated in vitro, to establish I-PAPs. Subsequently data from a clinical study on rheumatoid arthritis were analyzed. ResultsI-PAPs of naive/resting and immune-activated CD4+ and CD8+ T cells, T helper cells, B cells, NK cells, monocytes, macrophages, and dendritic cells were established and in agreement with known experimental immunobiology. In whole blood samples of rheumatoid arthritis patients TGF{beta} pathway activity was increased; JAK-STAT3 pathway activity was selectively increased in female patients. In naive CD4+ Tregs TGF{beta} pathway activity was increased, while in memory T effector cells JAK-STAT3 pathway activity tended to increase, suggesting that these immune cell types contributed to whole blood analysis results. ConclusionSTP assay technology (currently being converted to qPCR-based assays) makes it possible to directly measure functional activity of cells of the innate and adaptive immune response enabling quantitative assessment of the immune response of an individual patient. Envisioned utility lies in (1) prediction and monitoring of response to immunomodulatory treatments for a variety of immune-mediated diseases, including RA; (2) uncovering novel treatment targets; (3) improvement and standardization of in vitro immunology research and drug development.