In our recently published research, our team used machine learning to uncover hidden information and improve early detection and diagnosis of infection.
By the time eggs are detected, patients have already reached an advanced stage of the disease, indicating a need for earlier diagnostic methods.
Our study introduces two ways to screen for certain characteristics of antibodies that signal early infection, addressing the limitations of current diagnostic techniques.
The first assay captures a profile of immune response, allowing for better understanding and communication among immune cells to detect early-stage infections.
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