Notable has revolutionized cell culture processing by developing an automated system that performs tasks traditionally done by hand. Our robotic systems significantly outperform manual methods.
We have assembled a massive cancer biological response database, including more than 190 billion lines of proprietary structured data. Notable employs machine learning to interrogate these data and develop novel Presponse™ therapeutics, dramatically increasing the clinical response rate by identifying and treating only those patients who are most likely to benefit.
Leveraging years of innovation since 2016, our automated platform distinguishes Notable in the field of predictive medicine. Our automated workflow handles patient samples, treats them with antibodies and compounds, incubates them and delivers structured data to be analyzed by Notable data scientists. Robotic automation also enables virtuous learning cycles and optimization via machine learning.
This automation encompasses all critical steps, such as pipetting and adding compounds, using specialized machines like automated acoustic liquid handlers. This system not only enhances the speed and efficiency of our testing, but also standardizes the assays, reducing human error and saving costs by minimizing compound wastage. The streamlined process allows for complex combinations to be tested within hours instead of days, ensuring a high throughput and reliable approach to experimentation.
