3 results about "Clonal selection" patented technology

Methods for characterizing genome editing, clonal expansion and associated reagents for use in such methods are disclosed herein. Some embodiments of the technology are directed to characterizing a population of cells following an engineered genomic editing event, that includes in some embodiments characterizing genomic alterations occurring at both intended and unintended genomic loci within the genome of the populations of cells. Other embodiments are directed to utilizing Duplex Sequencing for assessing a clonal selection in mixed cell populations and / or cell populations following a genomic editing event. Further examples of the present technology are directed to methods for detecting and assessing clonal expansion of cells following a genomic editing event.

This invention belongs to the interdisciplinary field of artificial intelligence and distributed computing, specifically a method for high-dimensional data feature selection in computing power networks based on immune federated learning. This method includes: constructing a federated immune feature space; designing a dynamic clonal selection algorithm incorporating a spatiotemporal decay factor to achieve the co-evolution and optimization of feature affinity; using a federated graph attention network to quantize and extract feature embeddings; establishing a three-level immune memory bank to enhance adaptability; designing a computing power-aware antibody diffusion scheduling mechanism to control the diffusion range based on node computing power and privacy constraints; and dynamically adjusting the immune response threshold using reinforcement learning. Ultimately, it achieves collaborative and green optimization of high-dimensional features and computing resources under privacy protection. This invention effectively solves the problems of local optima, high communication overhead, and low computing power utilization in cross-institutional high-dimensional data feature selection, significantly improving the performance and generalization ability of federated models while reducing system energy consumption.

This invention relates to the fields of artificial intelligence and big data processing, specifically disclosing a method for constructing high-dimensional user profiles based on multi-source data fusion and dynamic updates. This method constructs an initial high-dimensional feature vector, introduces an immune mechanism to identify "self" and "non-self" behaviors, establishes a dynamic antibody library with a lifecycle, and combines clonal selection, high-frequency mutation, and natural apoptosis mechanisms to achieve adaptive evolution of the profile. It also constructs a cross-user immune network, utilizes common group behaviors to generate regulatory factors to correct individual biases, and integrates adversarial attack detection, version management, and viability assessment modules. Through the above technical solutions, this invention improves the accuracy, timeliness, and anti-interference capability of user profiles, providing highly reliable data support for precision marketing, intelligent recommendation, and risk prevention and control.