The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

TIME to unite lab and clinic – 1.5 million € to build an AI model of Alzheimer’s disease

Jacob Vogel profile photo. Photo.
Photo: Emma Nyberg.

Enormous amounts of data about Alzheimer’s Disease have been generated from clinical studies so far. Still, the molecular drivers of Alzheimer’s Disease are largely unknown. With the TAU-TIME project, Jacob Vogel aims to advance knowledge by developing an AI tool that brings together known biological mechanisms with data from patients with the disease. Recent funding from the European Research Council accelerates the innovation. The goal is to improve management in clinical trials and to help forecast future disease progression in individual patients in healthcare.

The prestigious ERC Starting Grant opens new opportunities for Jacob Vogel’s research team at MultiPark to realize the idea of using AI to bring Alzheimer’s research to the next level.

“This project has been on my mind for a long time, and we already have basic models that work surprisingly well.

“This project has been on my mind for a long time, and we already have basic models that work surprisingly well. What excites me most is getting the resources to proceed with it the right way. I think this is a testament to the amazing research environments like MultiPark that I’ve had the privilege to be a part of,” says Assistant Professor Jacob Vogel.

By feeding the tool with existing neuroimaging, molecular, and cognitive data from patients at several timepoints, he wants to develop the tool that can be immediately useful in clinical trials and for clinical management of Alzheimer’s disease.

Some parts of the project reminds of the digital twin concept. It relies on real data from a patient together with machine-learned patterns from numerous others to create a virtual copy. That copy allows the researcher to safely simulate treatment and disease outcomes in a computer without subjecting the real patient to any experiments.

“We want to create a system for testing mechanistic hypotheses in a human context, which we hope will lead to breakthroughs in understanding and eventually in treatment options

“We want to create a system for testing mechanistic hypotheses in a human context, which we hope will lead to breakthroughs in understanding and eventually in treatment options, all in line with the overall goals of MultiPark,” he explains.

Additionally, these individualized tools may also make it easier to provide better care to each patient by taking the forecasted disease progression into account for tailor-made monitoring and support. Jacob Vogel envisions many areas of application for this tool, from gaining mechanistic insights about disease origin to improving healthcare.

“Receiving this grant is the culmination of many contributors. I don’t believe there is such a thing as individual achievement in science,” ends Jacob Vogel.

About the ERC grants

ERC Starting Grants are awarded to promising researchers at the beginning of their careers. Since the grant was first introduced in 2007, Lund University has received 54 grants, including the three newly awarded ones.

This year, the EU is awarding 8.4 billion SEK to 478 researchers across Europe. German universities and research institutes received the most grants (99), followed by the United Kingdom (60), the Netherlands (44), and France (41). 

Read more here: https://erc.europa.eu/news-events/news/erc-2025-starting-grants-results

Jacob Vogel. Photo.
Photo:Emma Nyberg.

Jacob Vogel

Associate senior lecturer

jacob [dot] vogel [at] med [dot] lu [dot] se (jacob[dot]vogel[at]med[dot]lu[dot]se) 

Jacob Vogel's profile in the LU Research Portal