6 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.

The invention discloses a clone selection-based mourhua surface modeling method and related equipment, and the method constructs an'antibody-parameter 'iterative optimization framework by simulating the clone selection principle of an immune system, achieves the automatic and intelligent global search of key parameters, and improves the modeling efficiency. The defect that parameters are set by depending on artificial experience in a traditional method can be effectively overcome, and then the objectivity and repeatability of the model are ensured; through loop iteration of a series of collaborative operations such as initialization, evaluation, cloning, variation, supplementation and reselection, convergence from a preset parameter space to an optimal solution can be efficiently achieved, when a precision threshold value is met, stopping and outputting an optimal antibody are achieved, and it can be ensured that a high-precision mourhua face model is obtained in limited computing resources. According to the method, full-process automation from parameter initialization to optimal model output is realized, manual participation can be remarkably reduced, the modeling efficiency is improved, the calculation process is more stable and robust, and the method can be widely applied to the technical field of data processing.

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.

The invention provides a computing power network data feature selection technology based on immune clone selection optimization. The computing power network data feature selection technology comprises the following steps: firstly, collecting and preprocessing network flow, equipment state and system log multi-source data in a computing power network; based on an immune clone selection theory, improved clone proliferation, adaptive Cauchy variation and conditional lethal mutation mechanisms are introduced, a multi-objective fitness function is designed, key feature subsets are screened in combination with Fisher scores, and feature redundancy and classification contribution are balanced through iterative optimization. And training an intrusion detection model by using the optimized feature subset to reduce the calculation complexity and calculation power consumption of the model. And finally, by updating the feature weight in real time and dynamically adjusting the selection strategy, adapting to the dynamically changing operation environment of the computing power network. According to the technology, the global optimization capability of the immune algorithm and the dimension reduction advantage of feature selection are fused, the efficiency and accuracy of intrusion detection of the computing power network are effectively improved, the consumption of computing power resources is reduced, and the technology adapts to the security protection requirements of the high-dimensional complex computing power network.

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.

Clonal hematopoiesis is an age-related condition caused by somatic mutations that give a hematopoietic stem cell a clonal selective advantage. While clonal hematopoiesis is a benign condition, individuals affected by it have an increased risk of developing blood cancers, such as acute myeloid leukemia (AML). The present disclosure provides, in some aspects, methods for inhibiting clonal hematopoiesis using a senolytic agent to target senescence of bone marrow stromal cells.