Abstract
Pharmaceutical companies try to develop new drugs that have a high success rate of reaching the market. However, current disease models lack a strong correlation to clinical reality, because of the underestimation of the complexity and variability of clinical disease processes. This leads to high attrition rates late in drug development and soaring costs. Improvement of disease models is an important issue to reduce the high attrition rates in drug development. Using cell-based disease models, which should take into account the molecular diversity of the human cytome, will improve the predictive value of drug discovery. © 2006 International Society for Analytical Cytology.
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Van Osta, P., Ver Donck, K., Bols, L., & Geysen, J. (2006). Cytomics and drug discovery. Cytometry Part A, 69(3), 117–118. https://doi.org/10.1002/cyto.a.20236
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