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Machine learning based radiomics model to predict radiotherapy induced cardiotoxicity in breast cancer

Abstract Purpose: Cardiotoxicity is one of the major concerns in breast cancer treatment, significantly affecting patient outcomes. To improve the likelihood of favorable outcomes for breast cancer survivors, it is essential to carefully balance the potential advantages of treatment methods with the risks of harm to healthy tissues, including the heart. There is currently a lack

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The Global Association of Cardio-Oncology appreciates the Iranian Cardio-Oncology Group.

The Global Association of Cardio-Oncology appreciates the Iranian Cardio-Oncology Group.

While we don’t have an # Iranian chapter, much work is being done to advance cardio-oncology in the country. Azin Alizadehasl, MD, FACC, FASE and team work tirelessly to treat cancer while protecting patients’ hearts in Tehran and beyond, and we’re thankful to have them as part of our global cardio-oncology community.

The Global Association of Cardio-Oncology appreciates the Iranian Cardio-Oncology Group. Read More »