The U.S. Patent and Trademark Office issues patent for the technology behind the pioneering QLattice® algorithm.

Abzu® announced that the United States Patent and Trademark Office (USPTO) has issued Abzu Aps a patent number US 11,537,686 titled “Method of Deriving a Correlation” that protects the technology behind the pioneering QLattice algorithm.
Deep Tech Stories part 1: The path to inventing a new kind of AI.

On Deep Tech stories podcast: An interview with Casper Wilstrup on he path to inventing a new kind of AI.
Cancer Genetics.

Quantum lattices for early cancer detection through machine learning.
Forward: Abzu’s Casper Wilstrup on bringing explainable AI to life sciences, pharma, and beyond.

On Forward: An interview with Casper Wilstrup for an in-depth intro into Abzu and Abzu’s proprietary trustworthy AI technology.
Journal of Gastroenterology and Hepatology.

Predicting inpatient mortality in patients with inflammatory bowel disease: A machine learning approach.
Binary Classification: The simple explanation.

The simplest way to think about binary classification is that it is about sorting things into exactly two buckets.
Bioinformatics.

Identifying interactions in omics data for clinical biomarker discovery using symbolic regression.
BMC Medical Informatics and Decision Making.

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

Symbolic regression analysis of interactions between first trimester maternal serum adipokines in pregnancies which develop pre-eclampsia.
American Journal of Obstetrics & Gynecology.

Explainable “white-box” machine learning is the way forward in preeclampsia screening.