HEARTWISE
HEARTWISE is an interdisciplinary project focused on predicting and preventing drug-induced cardiotoxicity, with particular relevance to older adults. By integrating artificial intelligence with heterogeneous biomedical data, the project seeks to improve the early identification of cardiotoxicity risks and support safer treatment strategies.
Drug-induced cardiotoxicity remains a major challenge in both drug development and clinical practice. HEARTWISE addresses this need by combining genetic, bioactivity, mechanistic, and pathway information into a unified framework for predictive modelling.
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Get in touch to discuss collaboration, learn more about our approach, or explore potential applications.
Project’s Objectives
- Build a comprehensive database integrating mechanistic, genetic, and bioactivity data.
- Develop machine-learning models for the prediction of drug-induced cardiotoxicity.
- Validate predictive algorithms using robust data analysis workflows.
- Deliver a functional prototype with clinical and applied relevance.
- Support innovation, competitiveness, and translational impact in ageing-related healthcare.
Scientific Approach
The project combines data mastery with advanced machine learning and deep learning methods. Its workflow is designed to integrate diverse sources of biomedical information into a single predictive framework, supporting iterative model refinement and experimental validation.
This approach allows HEARTWISE to move beyond descriptive analysis towards actionable prediction. The intended outcome is a user-friendly system that can support decision-making in contexts where early recognition of cardiotoxicity is critical.
People Involved
- Irina Moreira, Group Leader, Data-Driven Molecular Design, CIBB
- Nícia Rosário-Ferreira, Researcher, Data-Driven Molecular Design, CIBB
- Ana Miguel Batista Amorim, Researcher, Data-Driven Molecular Design, CIBB
- Ana Beatriz Caniceiro, Researcher, Data-Driven Molecular Design, CIBB
- Lino Ferreira, Researcher. Group Leader, Advanced Therapies, CIBB
- Philipp Tsolakis, Researcher, CoLAB4Ageing.
The team’s interdisciplinary profile strengthens both the scientific depth and translational reach of the project, supporting links between academic research, applied innovation, and ageing-focused impact.
The Impact?
HEARTWISE aims to strengthen predictive toxicology by enabling earlier and more accurate identification of cardiotoxicity risks. This can support safer treatment pathways, particularly in populations where vulnerability to adverse drug effects is higher.
The project also has clear translational potential. Its outputs are intended to be relevant for healthcare providers, public administration entities, and other stakeholders seeking data-driven tools that improve care quality and system resilience.
HEARTWISE reflects our commitment to data-driven innovation in biomedicine, combining advanced computation with clinically meaningful questions to support safer and more effective healthcare.