Abzu is named a 2022 Gartner “Cool Vendor”.
We’re thrilled to announce that Gartner has named Abzu a “Cool Vendor” in AI for excelling in explainability, fairness, and trustworthiness.
Peptide drug development: Featurization and modeling of anticancer peptides.
An example of peptide drug development: Featurization and modeling using anticancer peptides.
Evaluating the calibration of your QLattice models.
Let’s study how well calibrated the QLattice models are, and to what extent calibrators can improve them.
An introduction to calibration (part I): Understanding the basics
What do machine learning model outputs represent? What if the predictions that we’re making come with a future risk?
An introduction to calibration (part II): Platt scaling, isotonic regression, and beta calibration.
Calibrators are tools used to transform the scores generated by your models into (almost) real mathematical probabilities.
The Journal of Clinical Endocrinology and Metabolism.
Women with Turner Syndrome are both estrogen and androgen deficient: The impact of hormone replacement therapy.
Applied Energy.
Explainable long-term building energy consumption prediction using the QLattice.
Understanding the data we create.
In under 2 mins: Why we have to understand what the decisions we make are based on and not blindly trust that a computer is right.
Multi-omics analysis made easy: A breast cancer example
The QLattice, a new explainable AI algorithm, can cut through the noise of omics data sets and point to the most relevant inputs and models.
siRNA molecule activity: explainable AI models uncover underlying mechanisms
Let’s apply our repositioned selves and the QLattice in a very hot area of research: nucleic acid-based medicines. One particular type, RNA interference (RNAi), involves a process by which specific mRNAs are targeted and degraded.