Rudi Agius
Copenhagen, Denmark
Last Updated: 09/26/2026
Save publications for later
Sign Up
Not sure about your diagnosis?
Check Your Symptoms
Found 12 publications
The Danish Lymphoid Cancer Research (DALY-CARE): Genetic Cohort Profile.
Journal: Clinical epidemiology
Published: March 06, 2026
Post-treatment infection prediction in CLL using domain adaptation of lymphoma electronic health records.
Journal: Acta oncologica (Stockholm, Sweden)
Published: September 20, 2025
Identifying CLL patients at high risk of atrial fibrillation on treatment using machine learning.
Journal: Leukemia & lymphoma
Published: January 05, 2024
Deployment and validation of the CLL treatment infection model adjoined to an EHR system.
Journal: NPJ digital medicine
Published: November 07, 2023
Erratum: Author Correction: Early stimulated immune responses predict clinical disease severity in hospitalized COVID-19 patients.
Journal: Communications medicine
Published: February 02, 2023
Personalized survival probabilities for SARS-CoV-2 positive patients by explainable machine learning.
Journal: Scientific reports
Published: December 07, 2021
Identifying patients with chronic lymphocytic leukemia without need of treatment: End of endless watch and wait?
Journal: European journal of haematology
Published: November 10, 2021
Artificial intelligence models in chronic lymphocytic leukemia - recommendations toward state-of-the-art.
Journal: Leukemia & lymphoma
Published: October 06, 2021
Early stimulated immune responses predict clinical disease severity in hospitalized COVID-19 patients.
Journal: Communications medicine
Published: July 28, 2021
Machine learning can identify newly diagnosed patients with CLL at high risk of infection.
Journal: Nature communications
Published: June 04, 2019
Showing 1-12 of 12
Last Updated: 09/26/2026