Abstract: This invention provides methods and systems for enhancement of protein production from mammalian cell lines in a drug inducible manner. The methods described herein can be used to generate a protein production cell line wherein the gene coding the protein product of interest is inserted into specific safe harbor loci (SHL) within the cell's genome and the gene copy number is induced to amplify by the use of an antibiotic inducer. The method enables for the conditional activation of the drug inducible transposase. The drug inducible gene amplification method described herein effectively functions as a molecular dial: combining drug-inducible homologous recombination and conditional gene activation to fine-tune gene amplification in mammalian systems.

Abstract: A device may receive historical risk data identifying historical risks associated with entities, and historical compliance data identifying historical compliance actions performed by the entities. The device may train a machine learning model with the historical risk data and the historical compliance data to generate a structured semantic model, and may receive entity risk data identifying new and existing risks associated with an entity. The device may receive entity compliance data identifying new and existing compliance actions performed by the entity, and may process the entity risk data and the entity compliance data, with the structured semantic model, to determine risk and compliance insights for the entity. The risk and compliance insights may include insights associated with a key performance indicator, a compliance issue, a regulatory issue, an operational risk, a compliance risk, or a qualification of controls. The device may perform actions based on the risk and compliance insights.

Abstract: A device may receive historical risk data identifying historical risks associated with entities, and historical compliance data identifying historical compliance actions performed by the entities. The device may train a machine learning model with the historical risk data and the historical compliance data to generate a structured semantic model, and may receive entity risk data identifying new and existing risks associated with an entity. The device may receive entity compliance data identifying new and existing compliance actions performed by the entity, and may process the entity risk data and the entity compliance data, with the structured semantic model, to determine risk and compliance insights for the entity. The risk and compliance insights may include insights associated with a key performance indicator, a compliance issue, a regulatory issue, an operational risk, a compliance risk, or a qualification of controls. The device may perform actions based on the risk and compliance insights.