Tinen Iles is an Assistant Professor Surgery at University of Minnesota Medical School, and also faculty in Bioinformatics, Computational Biology, Mechanical Engineering, and Biomedical Engineering.
Abzu analyzed omics data to identify which metabolites are present in early or late denning in bears.
Your partner for precise and exceptional results.
We worked with Tinen Iles, who collected blood samples in Northern Minnesota from 34 early- and 27 late-denning bears, to develop a dataset with 402 blood metabolite features.
The QLattice developed the top 10 best-performing models and also the insights to identifying the metabolites present in late hibernating bears.
A testament to innovation and collaboration.
I really enjoy working with Abzu because even though I have my doctorate in bioinformatics, I want to be on the forefront of what’s happening and how I can apply that to my research.
Tinen Iles, Assistant Professor Surgery
Outperforming classification models — with added explainability.
A very simple model clearly identified that triglycerides with double bonds are present in late-denning bears.
By revealing the different metabolic pathways between early- and late-denning bears, we have the insights and confidence to predict and understand thrombosis and heart failure — and potentially inhibit those pathways.
Additionally, understanding how blood clots and muscle atrophy can arise can help humans prepare for long human spaceflights.
Less data, more discovery.
Make the most out of every piece of information.
Contrary to the data-heavy demands of black-box AI, our technology thrives on minimal data. This efficiency not only accelerates the discovery process, but also reduces your barrier to entry to develop new, innovative drugs.
