17872980. SYSTEM AND METHOD FOR MANAGING CONTROL DATA FOR OPERATION OF BIOSYSTEMS ON CHIPS simplified abstract (Dell Products L.P.)

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SYSTEM AND METHOD FOR MANAGING CONTROL DATA FOR OPERATION OF BIOSYSTEMS ON CHIPS

Organization Name

Dell Products L.P.

Inventor(s)

OFIR Ezrielev of Be'er Sheva (IL)

AMIHAI Savir of Newton MA (US)

Avitan Gefen of Lehavim (IL)

Nicole Reineke of Northborough MA (US)

SYSTEM AND METHOD FOR MANAGING CONTROL DATA FOR OPERATION OF BIOSYSTEMS ON CHIPS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17872980 titled 'SYSTEM AND METHOD FOR MANAGING CONTROL DATA FOR OPERATION OF BIOSYSTEMS ON CHIPS

Simplified Explanation

Methods and systems for operating a biosystem on a chip are disclosed in this patent application. The aim is to predict likely faults in the operation of the system and identify algorithms that can mitigate these faults. These algorithms are ranked based on the impact that access to data reflecting the system's operation may have on their utility. Higher-ranked algorithms are deployed to lower latency locations, while lower-ranked algorithms are deployed to higher latency locations. The lower latency locations may include limited computing resources that are local to the biosystem on a chip.

  • The patent application focuses on operating biosystems on a chip.
  • It aims to predict likely faults in the system's operation.
  • Algorithms are identified to mitigate these predicted faults.
  • The algorithms are ranked based on the impact of data access on their utility.
  • Higher-ranked algorithms are deployed to lower latency locations.
  • Lower-ranked algorithms are deployed to higher latency locations.
  • Lower latency locations may have limited computing resources.

Potential Applications:

  • Biomedical research and diagnostics
  • Drug discovery and development
  • Point-of-care medical devices
  • Personalized medicine
  • Environmental monitoring

Problems Solved:

  • Predicting and mitigating faults in biosystem operation
  • Optimizing algorithm deployment based on latency
  • Maximizing utility of algorithms in biosystem operation
  • Overcoming limited computing resources in lower latency locations

Benefits:

  • Improved reliability and performance of biosystems on a chip
  • Enhanced accuracy and efficiency in biomedical research and diagnostics
  • Accelerated drug discovery and development processes
  • Real-time monitoring and analysis of biological processes
  • Cost-effective and portable point-of-care medical devices


Original Abstract Submitted

Methods and systems for operating biosystem on a chip are disclosed. To operate biosystem on a chip based systems, likely faults in the operation of the system may be predicted. Algorithms usable to mitigate the predicted likely faults may be identified, and ranked based on a level of impact that access to data reelecting the operation of the system may have on the utility of the algorithms. Higher ranked algorithms may be deployed for execution during operation of the system to lower latency locations while lower ranked algorithms may be deployed for execution to higher latency locations. The lower latency locations may include computing resources that are local to the biosystem on a chip, but that may be limited in quantity.