Accelerating life science + drug development

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Clients we are proud to disclose

Basic research
Lead development and optimization
Preclinical and clinical
After approval

Abzu accelerates R&D projects with superior data analytics

Our world-class scientific expertise, bioinformaticians, and explainable AI radically accelerates the development of new therapies.

What people are saying

Abzu recognized as a Cool Vendor in artificial intelligence

Abzu is named a “Cool Vendor” in the 2022 Gartner® “AI Governance and Responsible AI — From Principles to Practice” report.

Advancing scientific research

Publications + preprints

Combining symbolic regression with the Cox proportional hazards model improves prediction of heart failure deaths

Wilstrup, C., Cave, C. BMC Medical Informatics Decision Making 22, 196 (2022).

Symbolic regression analysis of interactions between first trimester maternal serum adipokines in pregnancies which develop pre-eclampsia

Casper Wilstrup, Paula L. Hedley, Line Rode, Sophie Placing, Karen R. Wøjdemann, Anne-Cathrine Shalmi, Karin Sundberg, Michael Christiansen

Explainable “White-box” machine learning is the way forward in pre-eclampsia screening

Michael Christiansen, MD, FRCPath, Casper Wilstrup, Paula L. Hedley, PhD, MPH. American Journal of Obstetrics and Gynecology, S0002-9378 (2022).

Identifying interactions in omics data for clinical biomarker discovery using symbolic regression

Niels Johan Christensen, Samuel Demharter, Meera Machado, Lykke Pedersen, Marco Salvatore, Valdemar Stentoft-Hansen, Miquel Triana Iglesias. Bioinformatics (2022).

Explainable long-term building energy consumption prediction using QLattice

Simon Wenninger, Can Kaymakci, Christian Wiethe. Applied Energy 308, 0306-2619 (2022).

Symbolic regression outperforms other models for small data sets

Casper Wilstrup, Jaan Kasak

What makes Abzu unique?

Abzu was founded to build a technology that approaches artificial intelligence in a new way – a way that allows us to find the explanations hidden in data, rather than just build black-box prediction models.


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