Abstract: Provided herein are systems and methods for pathogen identification. In particular, provided herein are methods for designing a diagnostic assay for two or more target agents utilizing artificial intelligence and machine learning (AI/ML) systems, the methods include designing amplification primer sets for one or more nucleic acid molecular identifiers for two or more targets and generating one or more collections of amplification primer sets according to their collective distinguishing power in a putative amplification assay for identifying and distinguishing any two or more or all of the two or more target agents.

Abstract: Provided herein are systems and methods for selecting sequences that satisfy intent-specific criteria. In particular, provided herein are systems and methods which analyze sequences based on metadata and known, inferred, and experimentally determined attributes to select sequences for desired utilities (e.g., suitable for therapeutic/prophylactic interventions).

Abstract: Provided herein are systems and methods for animal health assessment, surveillance, and enhancement. For example, provided here are systems, devices, and processes that collect and analyze, in an efficient and high-throughput manner, biological information, environmental information, and demographic information about animal subjects to detect, identify, predict, and/or surveil adverse-health-causative or-associated agents, such as pathogens, and to select and identify suitable interventions.

Abstract: Provided herein are systems and methods for animal health assessment, surveillance, and enhancement. For example, provided here are systems, devices, and processes that collect and analyze, in an efficient and high-throughput manner, biological information, environmental information, and demographic information about animal subjects to detect, identify, predict, and/or surveil adverse-health-causative or-associated agents, such as pathogens, and to select and identify suitable interventions.

Abstract: Provided herein are systems and methods for animal health assessment, surveillance, and enhancement. For example, provided here are systems, devices, and processes that collect and analyze, in an efficient and high-throughput manner, biological information, environmental information, and demographic information about animal subjects to detect, identify, predict, and/or surveil adverse-health-causative or-associated agents, such as pathogens, and to select and identify suitable interventions.

Abstract: Provided herein are automated apparatus and methods for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by library preparation and sequencing.

Abstract: Provided herein are automated apparatus for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by sequencing.

Abstract: Provided herein are automated apparatus and methods for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by library preparation and sequencing.

Abstract: Provided herein are automated apparatus and methods for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by library preparation and sequencing.

Abstract: Provided herein are automated apparatus for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by sequencing.

Abstract: Provided herein are automated apparatus for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by sequencing.

Abstract: Provided herein are automated apparatus for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by sequencing.

Abstract: Provided herein are automated apparatus for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by sequencing.

Abstract: Provided herein are automated apparatus for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by sequencing.

Abstract: Provided herein are automated apparatus for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by sequencing.

Abstract: Provided herein are automated apparatus for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by sequencing.

Abstract: Provided herein are automated apparatus for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by sequencing.

Abstract: Provided herein are automated apparatus for the identification of microorganisms in various samples. The disclosure solves existing challenges encountered in identifying and distinguishing various types of microorganisms, including viruses and bacteria in a timely, efficient, and automated manner by sequencing.

Abstract: Provided herein are methods and apparatus for the identification of pathogenic and non-pathogenic microorganisms in food and environmental samples. The disclosure solves existing challenges encountered in identifying food borne pathogens, including pathogens of the Salmonella, Campylobacter, Listeria, and Escherichia genera in a timely and efficient manner. The disclosure also provides methods for differentiating a transient versus a resident pathogen, correlating presence of non-pathogenic with pathogenic microorganisms, distinguishing live versus dead microorganisms by sequencing.

Abstract: Provided herein are methods and apparatus for the identification of pathogenic and non-pathogenic microorganisms in food and environmental samples. The disclosure solves existing challenges encountered in identifying food borne pathogens, including pathogens of the Salmonella, Campylobacter, Listeria, and Escherichia genera in a timely and efficient manner. The disclosure also provides methods for differentiating a transient versus a resident pathogen, correlating presence of non-pathogenic with pathogenic microorganisms, distinguishing live versus dead microorganisms by sequencing.