View source for 20240021269. SYSTEMS AND METHODS FOR ANALYZING MICRO-RIBONUCLEIC ACID (miRNA) SIGNATURE PROFILES IN BIOTIC AND ABIOTIC SAMPLES simplified abstract (Convergent Animal Health, LLC)

=SYSTEMS AND METHODS FOR ANALYZING MICRO-RIBONUCLEIC ACID (miRNA) SIGNATURE PROFILES IN BIOTIC AND ABIOTIC SAMPLES=


==Organization Name==

[[:Category:Convergent Animal Health, LLC|Convergent Animal Health, LLC]]


[[Category:Convergent Animal Health, LLC]]

==Inventor(s)==

[[:Category:Nedal Saleh of San Jose CA (US)|Nedal Saleh of San Jose CA (US)]][[Category:Nedal Saleh of San Jose CA (US)]]

[[:Category:Richard Vierling of Vernon TX (US)|Richard Vierling of Vernon TX (US)]][[Category:Richard Vierling of Vernon TX (US)]]

==SYSTEMS AND METHODS FOR ANALYZING MICRO-RIBONUCLEIC ACID (miRNA) SIGNATURE PROFILES IN BIOTIC AND ABIOTIC SAMPLES - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240021269 titled 'SYSTEMS AND METHODS FOR ANALYZING MICRO-RIBONUCLEIC ACID (miRNA) SIGNATURE PROFILES IN BIOTIC AND ABIOTIC SAMPLES

==Simplified Explanation==

The patent application describes systems and methods for analyzing micro-ribonucleic acid (miRNA) signature profiles in a biological sample to identify profiles of a subject to biotic and abiotic agents. The system includes an extractor unit and a nucleic acid amplifying unit that communicate with one or more hardware processors. The extracted miRNA concentrations are amplified using a plurality of primers and statistical modeling-based techniques. The hardware processors analyze the miRNA profiling data to identify a plurality of miRNA signature sequences and profiles indicative of exposure to various biotic and abiotic agents. The sequences and profiles are compared with pre-defined miRNA signature sequences and profiles in a database and displayed to indicate the subject's response to each agent. The system can perform multiplexed extraction and amplification of miRNA sequences to improve efficiency.

* The patent application describes a system for analyzing miRNA signature profiles in a biological sample.
* The system includes an extractor unit, a nucleic acid amplifying unit, and one or more hardware processors.
* The miRNA concentrations in the sample are extracted and amplified using a plurality of primers and statistical modeling-based techniques.
* The hardware processors analyze the miRNA profiling data to identify miRNA signature sequences and profiles indicative of exposure to biotic and abiotic agents.
* The identified sequences and profiles are compared with pre-defined ones in a database and displayed to indicate the subject's response to each agent.
* The system can perform multiplexed extraction and amplification of miRNA sequences to improve efficiency.

Potential applications of this technology:
* Identifying miRNA signature profiles in biological samples can be used in medical diagnostics to detect exposure to specific biotic and abiotic agents.
* This technology can be applied in environmental monitoring to assess the impact of pollutants or pathogens on ecosystems.
* It can also be used in agriculture to identify miRNA profiles indicative of plant stress or disease.

Problems solved by this technology:
* Traditional methods for identifying exposure to biotic and abiotic agents may be time-consuming and require complex laboratory procedures.
* This technology provides a more efficient and automated approach to analyze miRNA signature profiles, allowing for faster and more accurate identification of exposure.

Benefits of this technology:
* The system allows for the identification of miRNA signature profiles indicative of exposure to specific agents, providing valuable information for medical, environmental, and agricultural applications.
* The multiplexed extraction and amplification capabilities improve the efficiency of the analysis process, reducing the time and resources required.
* The statistical modeling-based techniques enhance the accuracy of the analysis, increasing the reliability of the results.


==Original Abstract Submitted==

systems and methods for analyzing micro-ribonucleic acid (mirna) signature profiles in a biological sample to identify profiles of a subject to biotic and abiotic agents are disclosed. a system comprises an extractor unit and a nucleic acid amplifying unit that communicate with one or more hardware processors. extracted mirna concentrations using extractor unit are amplified by nucleic acid amplifying unit, using a plurality of primers, and statistical modeling-based techniques. the one or more hardware processors analyze mirna profiling data using statistical modeling-based techniques to identify a plurality of mirna signature sequences and profiles indicative of exposure to various biotic and abiotic agents. the processors compare sequences and profiles with pre-defined mirna signature sequences and profiles in a database and on a display, indicating the subject's response to each biotic or abiotic agent. the system can perform multiplexed extraction and amplification of mirna sequences to improve efficiency.



[[Category:G16B25/10]]
[[Category:G16B30/00]]