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Machine learning enhanced baseline risk prediction models for cancer therapy related cardiac dysfunction: a systematic review and critical appraisal of methodological quality

20 June 2026 (13:15 - 14:15)
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Congress Presentation Part of: Research in cancer therapy-related cardiovascular toxicity: from bench to bedside Research and New Technology Delegates Premium Access ESC Cardio-Oncology 2026 Council of Cardio-Oncology

About the speaker

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Doctor Maria Sol Andres

Royal Brompton Hospital, London (United Kingdom of Great Britain & Northern Ireland)

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Metabolic targeting with SGLT2 inhibitors differentially modulates cardiotoxicity and antitumor activity during HER2-targeted breast cancer therapy
Doctor N. Maurea (Naples, IT)
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Transcriptome analysis of changes associated with dexrazoxane or GDF15 pretreatment to protect against doxorubicin in human embryonic stem cell-derived cardiomyocytes
Associate Professor E. Fung (Hong Kong, CN)
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The prognostic value of global longitudinal strain in patients with AL amyloidosis with cardiac involvement treated with up-front daratumumab, cyclophosphamide, bortezomib and dexamethasone
Doctor J. Di Palma-Grisi (Hackensack, US)
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Performance of deep learning auto-segmentation models for cardiac substructures in paediatric proton beam therapy
Doctor K. Banfill (Manchester, GB)
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Research in cancer therapy-related cardiovascular toxicity: from bench to bedside

The Event

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ESC Cardio-Oncology 2026

20 June 2026 13:15 CET

ESC 365 is supported by

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ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources