<h2>Ongoing research</h2>
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<p><img decoding="async" loading="lazy" class="alignnone wp-image-348" src="https://admin.bimelix.ax/app/uploads/2023/03/dsc-7719-scaled-e1678367188712.jpeg" data-placeholder="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAQAAAADCAIAAAA7ljmRAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAMklEQVR4nAEnANj/APTewOXXvtTEqqKWgAC+u6rO1MX/89jbybIAAA4nR15oZWxolIx9+YEWyfvdk6QAAAAASUVORK5CYII=" alt="" width="441" height="291" /></p>
<h3 id="tw-target-text" class="tw-data-text tw-text-large tw-ta" dir="ltr" data-placeholder="Översättning"><strong><span class="Y2IQFc" lang="en">New ELISA method for diagnostics of Borrelia antibodies </span></strong></h3>
<p class="tw-data-text tw-text-large tw-ta" dir="ltr" data-placeholder="Översättning"><span class="Y2IQFc" lang="en">A high-quality ELISA method has been developed for the determination of IgG1 subclass antibodies against the Borrelia C6 peptide. With this method, we have established that the previously used algorithm for Lyme serology is completely replaced by S-BorrC6IgG1-Ab with higher certainty for the risk assessment of patients with suspected Lyme infection. The method was accredited on 15.05.2020</span></p>
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