Prediction of cancer therapy related cardiac dysfunction by using a machine learning approach with cardiac magnetic resonance images

Back

ESC Professional Premium Access

Prediction of cancer therapy related cardiac dysfunction by using a machine learning approach with cardiac magnetic resonance images

Session: Daily cardiac problems in cancer patients

Topic: Cardio-Oncology

Speaker: Doctor C. Yu (Toronto, CA)

Event: ESC Congress 2024

Congress Presentation

Add to my library

About the speaker

Doctor Christopher Yu

Peter Munk Cardiac Centre, Toronto (Canada)

0 follower

5 more presentations in this session

The initial high-dose versus maintenance-dose anticoagulation therapy with direct oral anticoagulants for cancer-associated venous thromboembolism: from the COMMAND VTE Registry-2

Speaker: Doctor R. Chatani (Kurashiki, JP)

Understanding the impact of heart failure treatment on cancer growth

Speaker: Miss C. Civati (Antwerp, BE)

Risk of cardiovascular disease in Hodgkin lymphoma patients

Speaker: Doctor S. Godtfredsen (Aalborg, DK)

Increased prevalence of coronary atherosclerosis in cancer survivors: a matched cross-sectional study with coronary CT angiography

Speaker: Miss E. Polomski (Leiden, NL)

SGLT2 inhibitors in patients with amyloidosis and heart failure: a worldwide retrospective cohort study

Speaker: Doctor R. Belo Nunes (Sao Paulo, BR)

Access the full session

Daily cardiac problems in cancer patients

Speakers: Doctor C. Yu, Doctor R. Chatani, Miss C. Civati, Doctor S. Godtfredsen, Miss E. Polomski...

Access

Video

About the event

ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources