NASA GeneLab 2023 AWG Symposium: The year of open science.
Abzu’s Jonas Elsborg presents his research with NASA GeneLab: “Elucidating dermatological changes in spaceflight with explainable AI.”
The TOLAC project.
The TOLAC project brings data-driven insights to expectant parents at important stages of pregnancy to reduce the risk inherent in vaginal or caesarian delivery.
Abzu® selected partner for EU project Elegant North to create a new strategy for handling data on rare diseases.
To address the deficiency of treatments for rare diseases, the selected partners in project Elegant North will create a cross-border, rare disease data-sharing platform to foster cross-sector collaboration between researchers, companies, and healthcare systems.
Cancer Genetics
Quantum lattices for early cancer detection through machine learning.
Journal of Gastroenterology and Hepatology
Predicting inpatient mortality in patients with inflammatory bowel disease: A machine learning approach.
Intelligent Health AI
The world’s leading AI-in-medicine summit series. Connecting 200,000 clinicians, technologists, and C-suite executives.
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.
