AI technologies for computational systems biomedicine

AI Technologies for Computational Systems Biomedicine aims to develop AI technologies to help knowledge discovery in big molecular biology data arising from the human gut microbiome, with applications to improve diagnoses and personalized treatments of complex diseases. The project is being developed by Professor Juho Rousu, leader of the Computational Health focus area at Helsinki Institute for Information Technology (HIIT) and Kernel Methods, Pattern Analysis, and Computational Biology (KEPACO) research group from the Department of Computer Science at Aalto University.

The project continues the long-standing collaborative research of Prof. Juho Rousu with the Indian Institute of Technology Palakkad (IIT Palakkad). It also extends the collaboration with the Indian Institute of Technology Madras (IIT Madras). This project will be implemented by a jointly supervised Ph.D. student. 

This research topic is based on artificial intelligence (AI) in healthcare which links the project to the Finnish Center for AI (FCAI), the Finnish Flagship for AI. According to Professor Juho Rousu, “ the project will focus on the analysis of metagenomic data arising from the human gut microbiome, that is known to have a significant role in many diseases such as irritable bowel syndrome and diabetes. In machine learning, the methods extend the state of the art in learning from complex multi-view data. The expected outcomes will be new methods and tools for the bioinformatics community that allow more efficient data analysis and discovery, as well as new scientific discoveries obtained with our collaborators”. 

AI Technologies for Computational Systems Biomedicine is seed-funded as part of the India Pilot initiative from the Finnish Ministry of Education and Culture. Aalto is coordinating the India Pilot Network FICORE (Finnish Indian Consortia for Research and Education) which involves 38  higher education institutions from Finland and India.