About us
At PRENAITAL, we work to give everyone equal access to prenatal diagnostics of the same high quality.
We develop AI models that improve diagnostics of pregnant women.
Today, less than half of all at-risk pregnancies are identified. In order to prevent death, disability, birth defects and chronic diseases such as diabetes in mother and child, it is important to identify these high-risk pregnancies early. Our AI models can detect 25-50% more high-risk pregnancies than the existing clinical practice.
Our AI models can detect about 30% more high-risk pregnancies than the existing clinical practice.
Our mission is to take advantage of AI to detect all pregnancies at risk, ensuring early identification and timely intervention. By providing accurate, accessible, and scalable solutions, we empower healthcare providers to address pregnancy complications effectively, even with limited specialized staff.
Our vision is to revolutionize maternal healthcare by using AI to detect and manage pregnancies at risk, ensuring every expecting mother receives the care she needs, when she needs it, regardless of healthcare resources or expertise available
Tanja Danner is the CEO of Prenaital, bringing extensive experience in software development and the successful implementation of new and regulated technologies. With a strong background in leading software teams and projects, Tanja excels in transforming organizations and optimizing workflows to drive growth and efficiency.
Her expertise spans across organizational development, healthcare innovation, and the creation of international partnerships.
Anders Nymark Christensen, PhD, is Chief Technology Officer in Prenaital. He leads the technical and regulatory activities in Prenaital, drawing on his experience from his research career and from working closely with other start-ups.
Anders is an expert in medical image analysis and statistics, specializing in their application within healthcare and imaging.
Martin G. Tolsgaard, MD, PhD, DMSc, is Chief Medical Officer in Prenaital. He is a Professor of obstetrics and an expert in the use of technologies, such as simulation or artificial intelligence (AI), to augment clinical performances. He is a specialist in Maternal-Fetal Medicine, practicing at Copenhagen University Hospital Rigshospitalet.
He is the founder of a global testing network for AI in maternal-fetal medicine.
Aasa Feragen, PhD, is a co-founder of Prenaital. She is a Professor of medical imaging at the Technical University of Denmark and an expert in responsible AI, where she leads multiple research projects spanning algorithmic fairness, explainability and uncertainty quantification.
Aasa is a co-lead of the Causality and Explainability Collaboratory at the Pioneer center for AI.
Mads Nielsen, PhD, is a Professor of medical AI at the Department of Computer Science, KU (DIKU) and the Pioneer Centre for AI. He has a long-standing career in academic research and innovation, including pioneering the use of deep learning in medical imaging analysis publishing the first paper on the topic in 2012 with Andrew Ng.
Today he leads research on foundation models for healthcare at the Pioneer Center for AI. He has started 4 companies in MedTech now employing more than 50 persons.
PRENAITAL is a spin-out from the Capital Region and the Pioneer Center for AI, the University of Copenhagen and DTU; a unique collaboration that is also selected as be one of Danish Regions’ AI Signature Projects.