The accepted unknown

At Nostra Biome, we understand that building an algorithm that accurately predicts the behavior of bacteria is a complex and challenging task. Many factors contribute to the level of uncertainty in our system, including incomplete or missing data about certain types of bacteria. Despite these challenges, our focus is on using the information that is available to us in the most effective way possible.

One of the ways we address uncertainty in our algorithm is by using advanced statistical techniques that allow us to make predictions even when some information is missing. We work closely with following all the research that happens outside and other experts to develop models that are based on the best available data, and we use these models to guide our decision-making.

Another way we address uncertainty is by constantly updating our algorithm rules and database of bacterial metadata with new information as it becomes available. We understand that the field of microbiology is constantly evolving, and we are committed to staying at the forefront of the latest research and developments.

Despite the challenges posed by uncertainty, we remain focused on our ultimate goal: to use the known information we have about bacteria to drive the most impactful set of actions possible.