CAR-T Cell Monitoring

Revolutionizing CAR-T Cell Monitoring

Revolutionizing  CAR-T Cell therapies. Empowering faster, affordable, decentralized and streamlined production. We are utilizing a combination of ORGAN on CHIP and LAB on CHIP technology, AI, image recognition, multi-omics analysis and robotics to enhance the use of CAR-T

7 Talos is at the forefront of advancing a cutting-edge automated cell system, designed to autonomously regulate and enhance T cell therapy via sophisticated image analysis. This innovative system will seamlessly integrate with AI

The core of this system lies in our state-of-the-art artificial intelligence (AI) technology.
It analyzes images in real-time, utilizing the insights derived from this analysis, a reinforcement-learning agent orchestrates the operation.  This results in a self-regulating feedback loop governed entirely by machine learning algorithms, which significantly enhances the efficiency of T-cell culture processes.

By reducing reagent usage and precisely managing the cellular environment, we can significantly decrease the operational costs. The synergy between machine learning and AI enables the system to automatically and continuously adjust critical factors in real-time, suitable for individualized therapies.

The primary goal of our algorithm is to precisely identify T cells, providing essential data Integrating a meticulously designed control mechanism. The secondary function of our algorithm involves a detailed analysis of T cell morphology, a critical aspect for identifying any deviations or anomalies  ensuring the highest standards of quality and consistency.

Our approach combines the precision and adaptability of machine learning with the efficiency of CAR T. This integration not only enhances control and reduces time and errors associated with traditional methods but also minimizes reagent consumption. The result is a groundbreaking platform that dramatically improves the feasibility and viability of CAR T treatments, reducing both production time and costs.