E!163, AId, Red Glead Discovery

Important results from the project

** Denna text är maskinöversatt ** The project aimed to develop an AI platform to perform integrated Drug Discovery in an automated way, using deep learning methods. The developed platform requires a low degree of manual work and the use of deep learning methods during development has been successful. It is also faster than competing tools, while maintaining a level of quality. After implementation of the functionality identified as needed, the platform fulfils the project objective even if commercialization of the project has not yet been achieved

Expected long term effects

** Denna text är maskinöversatt ** The project involves developing an AI based Drug Discovery platform to reduce the experimental work in early drug discovery thereby decreasing cost and resource utilization. The platform displays the anticipated effects of reducing the time required to identify potential starting points. Verification of data generated via the platform has been possible to validate through comparisons with previous and new experimental data and experiments carried out regarding AI generated data. The choice of business model remains, however, to be finalized.

Approach and implementation

** Denna text är maskinöversatt ** The AI platform was basically developed according to the original design plan, with only some minor adjustment. The initial tests proved to be critical to the future development of the prototype; the need for a more robust predictive algorithm, to fix bugs and to implement new features. Subsequent tests were developed and performed including a benchmarking of the platform, comparisons with competitor softwares and evaluation by specialized end users. All the data obtained from this work was then used to make the final changes