npj Microgravity.
Explainable machine learning identifies multi-omics signatures of muscle response to spaceflight in mice.
Oral history: Symbolic AI is explainable.
Casper Wilstrup explains the symbolic AI behind Abzu’s proprietary QLattice®: An AI that generates explanations along with predictions.
Open Forum Infectious Diseases.
An interpretable machine learning model using the gut microbiome to predict clinical E. faecium infection in human stem-cell transplant recipients.
BuildSys ’23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation.
Explainable Occupancy Prediction Using the QLattice.
Explainable AI: Designing better molecules to become drugs.
Oligonucleotides Therapeutics Society (OTS) 2023 poster and keynote.
Journal of Technology in Behavioral Science.
An Explainable Framework to Predict Child Sexual Abuse Awareness in People Using Supervised Machine Learning Models.
bioRxiv.
Using LLM Models and Explainable ML to Analyse Biomarkers at Single Cell Level for Improved Understanding of Diseases.
Frontiers in Nutrition.
Predicting weight loss success on a new Nordic diet: an untargeted multi-platform metabolomics and machine learning approach.
Earth Surface Processes and Landforms.
A novel QLattice-based whitening machine learning model of landslide susceptibility mapping.
Nature Mental Health.
Plasma proteomics discovery of mental health risk biomarkers in adolescents.
