TORTUS Reviews

We combine clinical and experimental data with machine learning to improve precision medicine and navigate human disease biology. Contingent AI™, a patent-pending technology, understands data relationships to provide sophisticated insights. We tackle data bias by iterating upon machine learning models that are based on decisions made during the feature engineering and pre-processing stages. We use zebrafish, cell, and other phenotypic animals models to validate in-silico predictions in in vivo experiments. We also genetically modify them in vitro to improve translation. We quickly incorporate new data into machine learning models by using active learning and computer vision on validated models of cardiac, central nervous system, and rare disorders.

Cardiovascular diseases claim the lives of over 20 million people each year. Early detection could prevent many of these deaths. The global healthcare system is overloaded and human capacity for detailed analyses is limited. AIATELLA is here to help. Our AI-powered image analytics solution has revolutionized the world of cardiovascular diagnostics. By automating manual measurements in a quantified manner and using historical data we reduce the time, costs, and expertise required, allowing us to significantly expand the capacity of critical imaging. AIATELLA’s solution improves diagnostic speed, accuracy and precision, delivering measurements, disease-progression analyses and other information in seconds, instead of hours. By improving the accuracy, speed, and variability of the analysis, we enable doctors to spend more quality time with their patients, enabling preventative and personalized medicine.