ABZU
Accelerating life science + drug development with explainable AI
Are you caught in the knowledge gap between your data and your next discovery?
Abzu’s proprietary, explainable AI and expertise in health analytics and machine learning augment your team with novel insights.

Artificial intelligence
A new class of AI to accelerate research: The QLattice®

Scientific knowhow
Health science, biophysics, mathematics, and statistics experts
Explainable insights per project or throughout the pharma value chain
Augment your team with novel ideas. Get the explainable edge in developing new therapies.
Target selection

Lead discovery

Lead optimisation

Pre-clinical

Clinical

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.
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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
Self-organized and self-managed
We don’t have any bosses. Abzoids determine their own salaries and schedules and make decisions about their work priorities. This requires transparency and trust, which is an integral part of our technology and who we are.
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Contact Abzu
We’re just a bunch of nice nerds building something new and awesome. How can we help you?