Multi-modal AI for Digital Health

Multi-modal AI for Digital Health - Introduction
 

Getting Healthy with Data Science

A*STAR is dedicated to leveraging the power of multi-modal AI and data science to promote and sustain healthy living. We have a multitude of research cohorts on Asian-centric populations and diseases drawing from a rich set of data sources. 
 
Through innovative data aggregation and analytic approaches, we aim to empower individuals to make more personalized decisions about their health and disease from prevention to screening, diagnosis, monitoring and intervention. 
 
Join us on this journey towards a healthier future, where a rich biomedical data repository coupled with advances in data science serve as a catalyst for improved health outcomes.

Case Study


Deep Learning in Heart Failure Cohort Studies for New Dx & Therapeutic Discovery

 

US2.AI: Decision-making in Echocardiography

 

Empowering Healthcare Collaboration Through Privacy Preserving Technologies


Privacy Preservation for Multi-modal AI
Our Privacy Preservation Methods and Technologies

A*STAR has developed a suite of advanced privacy-preserving technologies to facilitate multi-party, cross-regional, and data-driven healthcare collaboration. These technologies ensure robust privacy and security, enabling effective data sharing in an increasingly interconnected world.


Case Study


Privacy-preserving technologies to enable healthcare collaboration

 

Accelerating Delivery of Clinical Insights through Trusted Research Environments