Jordi Carreras-Puigvert, an Associate Professor at Uppsala University, discusses the significance of phenotypic morphological profiling, particularly using Cell Painting, in the field of drug discovery. He highlights the establishment of an infrastructure for autonomous phenomics and the role of artificial intelligence in this process.
Associate Professor Uppsala University
We can generate terabytes of images and gigabytes of numerical data, creating a valuable resource for academia. Moreover, our infrastructure ensures data integrity and quality, making it suitable for various applications, including Mechanism of Action prediction. This case study showcases the power of Cell Painting and morphological profiling in unraveling the mechanisms behind novel compounds, which is crucial for drug discovery efforts.
Related StoriesOur platform combines AI, automation, and phenomics to expedite drug discovery processes. By making these technologies more accessible, we hope to drive innovation and improve the efficiency of drug development in the industry. Navigating the complexity of biological systems requires patience and careful validation of results. It's essential to strike a balance between understanding the complexity and generating actionable insights.
Drug Discovery Phenotypic Morphological Profiling Cell Painting Uppsala University Infrastructure Artificial Intelligence
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