A unique data processing pipeline using a unique AI-based software for C.elegans assays.
The end of manual counting? You read it right. We mentioned many times how the SydLab System is an automated laboratory device that substitutes the traditional manual handling in C. elegans research. But we are all about automation, and this includes data collection and analysis too.
AI and drug discovery
Artificial Intelligence (AI) is a branch of computer science concerned with developing machines capable of mimicking tasks that typically would require human intelligence. Particularly, in the drug development field, AI has been used to analyze the relationships between chemical compounds and human biology. Hence, in the last decades AI has been a powerful predictive tool for drug candidates, leading to more efficient pipelines and an overall more cost and time effective process speeding-up research advances. Before going to clinical trials, drug candidates are subjected to a pre-clinical process where the candidates are tested and validated in cell assays and animal models. Being the discovery phase highly expensive and time-consuming, AI assisted in identifying more rapidly the possible interactions of the drug candidates with respect to the human body and, hence, save time and resources in testing those molecules that will potentially be discarded during the pre-clinical phase.