Anne Krogh Nøhr is an expert in integrating genetic data with clinical data to develop personalized prediction models. She has just been selected for AAU Excellence – Aalborg Universitet University's talent programme for ambitious early-career researchers.

"Combining genetic data with other types, such as registry data, allows us to gain a deeper understanding of complex diseases and develop personalized screening and treatment strategies," says Anne Krogh Nøhr. "This approach can significantly improve and optimize clinical practice."

Anne's research is particularly focused on enhancing screening strategies for diseases like colorectal cancer and improving preventive measures for conditions such as stroke and heart failure in patients with atrial fibrillation. "By integrating genetic and clinical risk factors, we can better predict and understand these conditions," she explains.

In a time when the prevalence of complex diseases like cancer and cardiovascular diseases is increasing, Anne's work is more relevant than ever. "Personalized strategies for screening and treatment can reduce costs, improve outcomes, strengthen prevention, and lessen the overall burden on the healthcare system," she adds.

"Being selected for AAU Excellence is a great honor and an important milestone in my career," Anne shares. She looks forward to developing her research management skills and starting a pilot project that can eventually develop into a larger research project.

Anne is excited about the opportunities the AAU Excellence programme will provide, including skill development and networking opportunities both nationally and internationally. "I hope to gain a broad range of competencies, strengthen my scientific profile, and expand my network," she says. "This will help me achieve my long-term career goals."

Anne holds a background in biomedical engineering from Aalborg University. She spent a year working as a data scientist in the private sector before completing an industrial PhD at Lundbeck and the University of Copenhagen. She is currently based at the Center for Clinical Data Science (CLINDA - Center for Clinical Data Science) at the Department of Clinical Medicine - a center dedicated to bridging clinical practice and data science.