ALKEMYST creates a Virtual Marine Cell to predict how different species process nutrients under varying conditions.
UMAMI Bioworks
The ALKEMYST™ platform by Umami Bioworks now includes a new capability that predicts how fish cells metabolize nutrients, lipids, and algal oils before physical feed trials begin.
The introduction of computational feed biology into its AI-based service will represent a substantial shift in how feed formulation decisions are made in aquaculture.
In other words, feed producers will be able to reduce waste, manage costs, and target specific fatty acid profiles associated with growth, resilience, and product quality.
Specifically, ALKEMYST creates a Virtual Marine Cell to predict how different species process nutrients under varying conditions. This enables biological and production outcomes to be anticipated without relying solely on lengthy and costly trials.
According to Umami, traditional trials involve prolonged testing periods, high capital costs, and animal use, and limited visibility into the consequences of each formulation. Being able to anticipate nutrient absorption, immune activation, and stress response represents a historic milestone.
"By computing feed biology at the cellular level, we understand how fish respond to nutrition before committing time, capital, and animals. That changes how decisions are made," said Shivansh Singhal, Machine Learning Scientist at Umami Bioworks.
Additionally, the Singapore-based company announced less than a month ago the expansion of its cultivated PDRN capabilities through its Marine Radiance™ platform, which uses cultivated marine biology (cultivated marine cells) to create and scale high-performance regenerative cosmetic actives.
