Graph theory and neural networks in the pharmaceutical industry
The iDanae Chair (where iDanae stands for intelligence, data, analysis and strategy in Spanish) for Big Data and Analytics, created within the framework of a collaboration between the Polytechnic University of Madrid (UPM) and Management Solutions, has published its 2Q24 quarterly newsletter on graph theory and neural networks in the pharmaceutical industry
The iDanae Chair for Big Data and Analytics, created within the framework of a collaboration between UPM and Management Solutions, aims to promote the generation and dissemination of knowledge, the transfer of technology, and the furthering of R&D in the Analytics field. In this context, one of the lines of work developed by the iDanae Chair is the analysis of meta-trends in the field of Analytics.
Graph theory and neural networks in the pharmaceutical industry
The newsletter “Graph Theory and Neural Networks in the Pharmaceutical Industry” explores how graphs and complex neural networks can have practical applications in pharmaceutical research, and shows a use case on drug repositioning, highlighting the potential of these technologies to accelerate innovation.
The newsletter is now available for download on the Chair's website in both in Spanish and English.