
CardiaTec
Applying artificial intelligence on large-scale human multiomic data to develop the next generation of cardiovascular disease targets.
Related Content
CardiaTec is a cutting-edge startup that leverages artificial intelligence (AI) to develop innovative solutions for cardiovascular disease, the leading global cause of death. The company operates in the healthcare and biotechnology market, specifically focusing on cardiovascular disease research and drug development.
CardiaTec's business model revolves around the application of AI on large-scale multi-omic data. Multi-omic data refers to the integration of genomic, transcriptomic, proteomic, and metabolomic data, which provides a comprehensive view of biological systems. By analysing this data, CardiaTec can identify new drug targets for cardiovascular diseases.
The company also explores computationally enabled target-drug interactions to support the development of novel drugs. This means they use computer models to predict how potential drugs might interact with their targets in the body. This approach allows for more informed drug discovery and is not limited to any specific type of drug (modality agnostic).
Furthermore, CardiaTec is working on patient stratification and biomarker identification. This involves categorising patients based on their disease characteristics and identifying biological markers that can help determine which patients are most likely to benefit from new treatments. This approach aims to facilitate the transition into personalised medicine for cardiovascular disease, moving away from the current one-size-fits-all standards of care.
CardiaTec was founded by experts from the University of Cambridge and is poised to make significant contributions to the field of cardiovascular disease research and drug development.
Keywords: Artificial Intelligence, Cardiovascular Disease, Drug Development, Multi-omic Data, Target-Drug Interactions, Modality Agnostic, Patient Stratification, Biomarker Identification, Personalised Medicine, Biotechnology.