A breakthrough in the area of Cardio-Oncology using an Artificial Neural Network


Author(s): Ji Jie, Liew Kai Bin, Wan Rosalina Wan Rosli

Cardio-Oncology (CO) focuses on detecting, monitoring, and treating heart disease brought on by cancer treatments. The realistic is to decrease cancer therapy's harmful effect on the heart and blood vessels. CO help ensure you get the best effective cancer treatment possible with the lowest duration of heart damage. A potential breakthrough oral cancer therapy that selectively destroys cancer cells and leaves healthy tissues unharmed can be provided. Cardiovascular problems associated with cancer treatment include cardiac insufficiency, premature coronary artery disease, valve disease, pericardial damage, and arrhythmias. Artificial Neural Network (ANN) and precision medicine are effective methods for detecting and monitoring cardio-oncology patients that can help promptly detect cancer therapy-related heart damage. Hence, CO-ANN has been changing cancer detection and diagnosis, with enormous promise for improving patient outcomes. Various imaginative solutions continue to approach the sector through skin scans and stomach scans. CO is a cutting-edge interdisciplinary profession that reduces the morbidity and mortality of cancer patients by avoiding and managing cardiovascular toxicities associated with cancer treatments. CO inequalities are variations in the distribution of cardio protective medications, surveillance, and the emergence of unfavorable outcomes linked to cardiac disease brought on by cancer therapy across a range of racial, ethnic, socioeconomic, physical orientation, and demographic categories. Effective treatment for patients with CO utilizes a comprehensive appreciation of the heart disease subspecialties and strong cooperation with specialists in each subspecialty. A multidisciplinary performance with complex patients is likely to yield positive results.

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Awards Nomination

Editors List

  • Prof. Elhadi Miskeen

    Obstetrics and Gynaecology Faculty of Medicine, University of Bisha, Saudi Arabia

  • Ahmed Hussien Alshewered

    University of Basrah College of Medicine, Iraq

  • Sudhakar Tummala

    Department of Electronics and Communication Engineering SRM University – AP, Andhra Pradesh




  • Alphonse Laya

    Supervisor of Biochemistry Lab and PhD. students of Faculty of Science, Department of Chemistry and Department of Chemis


  • Fava Maria Giovanna


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