top of page
Search

Topf Group is Part of a New Max-Planck School of Biomedical Artificial Intelligence

  • Mar 16
  • 2 min read

Updated: Mar 23

The selection committee has approved the concept of the Max-Planck School of Biomedical Artificial Intelligence (BMAI). The new school will bring together leading researchers to advance the understanding of biological systems by combining biomedical technologies with artificial intelligence. Prof. Maya Topf, head of the Research Department “Integrative Virology” at the Leibniz Institute of Virology will be among the inaugural Fellows, contributing her expertise in computational modelling and AI-based approaches.

The coordinating leadership of the new school is provided by Karsten Borgwardt, Director at Max-Planck-Institut für Biochemie in Martinsried by Munich and spokesperson of the new school.


Representing 24 institutions, the Fellows of the Max Planck School will bring together expertise from a wide spectrum of research areas, including image and voice processing as well as immunology. The Topf Group uses AI-based approaches to predict and evaluate structural models. Participation in the school offers the Leibniz Institute an excellent opportunity to link virology research more closely with biomedicine.


Especially in infection research, where rapid progress can be crucial, computational approaches offer powerful new AI tools to better understand virus–host interactions and to open up new long-term perspectives for diagnostics and therapy,” says Prof. Maya Topf.


The Max-Planck School of BMAI emphasises understanding biological systems by integrating modern biomedical technologies with AI-based approaches. Its goal is to train a new generation of scientists who can develop algorithms that recognise, explain, and predict the principles of living systems – and apply these insights to molecular design. Ethical considerations, data privacy, and data security are also key components of the program. In the medium term, the school aims to harness the enormous translational potential at the interface of biomedicine and AI.


Read full press release here.



 
 
 

Comments


bottom of page