Related Experiment Video
Updated: Jan 9, 2026

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
Published on: April 5, 2024
Precision cardiovascular medicine: shifting the innovation paradigm
Masanori Aikawa1,2,3, Abhijeet R Sonawane1,2, Sarvesh Chelvanambi1
1Center for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Insights
Cardiovascular diseases (CVDs) remain a leading cause of death due to heterogeneity. Integrative precision medicine, using AI and systems biology, offers new hope for effective CVD therapies and improved global health outcomes.
Area of Science:
- Cardiovascular Medicine
- Biomedical Research
- Precision Medicine
Background:
- Cardiovascular diseases (CVDs) are the leading global cause of death despite advances in treatment.
- Multilevel heterogeneity in CVDs, from molecular mechanisms to clinical presentation, presents a significant challenge.
- Individual variability, influenced by genomic and exposomic factors, necessitates precision-based approaches.
Purpose of the Study:
- To explore how novel technologies can address challenges in cardiovascular disease therapy.
- To highlight the potential of integrative precision medicine for improving global health outcomes.
- To discuss the role of systems biology and network medicine in advancing cardiovascular research.
Main Methods:
- Application of artificial intelligence (AI) to large datasets, including clinical information and multiomics data (genomics, transcriptomics, proteomics, metabolomics).
- Utilizing systems biology and network medicine to elucidate complex disease mechanisms.
- Employing new computational approaches to translate discoveries into therapies and overcome drug development barriers.
Main Results:
- AI and multiomics analysis can uncover disease mechanisms, identify novel biomarkers, and pinpoint potential drug targets for CVDs.
- Computational methods aid in developing new therapies and addressing the "druggability" of identified targets.
- An integrative precision medicine approach shows promise for more effective cardiovascular treatments.
Conclusions:
- A shift towards a precision-based paradigm in cardiovascular medicine requires enhanced interdisciplinary collaboration and data science integration.
- New partnerships between academia and industry are crucial for translating research into clinical practice.
- Global policy and leadership are essential for funding, data infrastructure, regulatory frameworks, and equitable patient access to innovative therapies.
Abstract:
Despite the development of potent drugs for modifiable risk factors and advances in mechanistic biomedical research, cardiovascular diseases (CVDs) collectively remain the leading cause of death globally, indicating a need for new, more effective therapies. A foundational challenge is the multilevel heterogeneity that characterizes CVDs-from their complex pathobiological mechanisms at the molecular and cellular levels, to their clinical presentations and therapeutic responses at the individual and population levels. This variability arises from individuals' unique genomic and exposomic characteristics, underscoring the need for precision approaches. Other key challenges include the long navigation times, high costs, and low success rates for drug development, often compounded by the poor "druggability" of new targets. In this article, we explore how these challenges have inspired novel technologies that offer promise in improving health outcomes globally through an integrative precision medicine approach. Key to this transformation is the use of systems biology and network medicine, whereby the application of artificial intelligence to "big data", ranging from clinical information to unbiased multiomics (e.g., genomics, transcriptomics, proteomics, and metabolomics) can elucidate disease mechanisms, yield novel biomarkers for disease progression, and identify potential drug targets. In parallel, new computational approaches are helping translate these discoveries into novel therapies and overcome druggability barriers. The transition to a precision-based research and innovation paradigm in cardiovascular medicine will require greater interdisciplinary collaboration, data science implementation at every stage, and new partnerships between academia and industry. Global policy leadership is also essential to implement suitable models of research funding and organization, data infrastructures and policies, medicines regulations, and patient access policies promoting equity.
Related Concept Videos
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Cardiomyopathy V: Interprofessional Care
Pulse rhythm
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
Heart Failure V: Medical Management
Coronary Artery Disease V: Interprofessional Care
Pathophysiology of Cardiac Performance

