A*STAR Bioinformatics Institute (A*STAR BII)

A secure data analytics platform enables cross-institutional studies of patient health records without pooling raw data or compromising privacy.

Integrating spatial information to the metabolic readouts of liver cancer samples reveals region-specific markers that conventional bulk profiling methods miss.

A*STAR researchers developed an AI-powered framework to identify microbial producers of valuable natural products from nature’s vast chemical landscape.

By combining bioprocessing and computational modelling, Zach Pang is developing powerful solutions to an age-old biomanufacturing problem: optimising culture media for industrial-scale cell cultures.

A novel RNA-based molecular tool offers an innovative way to detect, amplify and respond to genetic signals within cells with unprecedented modularity.

At A*STAR, precision medicine and population health are bridging disciplines to shed new light on facets of human development and well-being, enabling targeted early interventions to enhance the healthspans of Asian populations.

A unique RNA structure shared across SARS-CoV-2 variants may contribute to viral fitness, offering a potential target for new antiviral treatments.

Enhanced RNA-based profiling techniques reveal the outsized metabolic impacts of small microbial populations across the human body surface.

An anti-hypertension drug could potentially be repurposed as a more affordable treatment for liver cancer.

Self-looping molecules could be the key to unlocking the potential of RNA-based vaccines and therapies.

Through a blend of simulation, machine learning and advanced data analytics, digital twins are emerging as one of AI’s most powerful applications, transforming innovation cycles across a diverse range of industries.

An aroma-first cell culture process bypasses costly tissue growth to deliver a familiar flavour for meat lovers.