Quantification of Antibody-Antigen Interaction in Lateral Flow Assays using Artificial Intelligence
Artificial intelligence is defined as a computational system leveraging artificial neural networks and machine learning algorithms to mimic human problem-solving capabilities through supervised or unsupervised processing of data representations. The core theoretical mechanism involves mapping structured input variables, such as biological metrics from lateral flow assays or medical imaging features, to specific output classifications via trained models like convolutional neural networks and generative adversarial networks. This domain integrates machine learning theory with biomedical engineering to enable automated diagnostics, drug design simulation, and the quantification of molecular interactions without explicit programming for every scenario.
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Quantification of Antibody-Antigen Interaction in Lateral Flow Assays using Artificial Intelligence
Artificial intelligence is defined as a computational system leveraging artificial neural networks and machine learning algorithms to mimic human problem-solving capabilities through supervised or un…