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@@ -285,14 +285,14 @@ Marie-Lannelongue</a><sup>2</sup>
             PARTAGES addresses <strong>eight priority use cases</strong> focused on the analysis, structuring, and generation of medical reports:
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           <ul>
-            <p><i class="fas fa-database" style="margin-right: 8px;"></i><strong>Data augmentation</strong> through the generation of fictitious reports</p>
-            <p><i class="fas fa-comment-medical" style="margin-right: 8px;"></i><strong>Automatic pseudonymization</strong> of medical reports</p>
-            <p><i class="fas fa-laptop-code" style="margin-right: 8px;"></i><strong>Automated medical coding (DIM</strong>) based on medical reports</p>
-            <p><i class="fas fa-brain" style="margin-right: 8px;"></i><strong>Automatic summarization</strong> of medical reports</p>
-            <p><i class="fas fa-hand-holding-medical" ></i><strong>Generation of clinical</strong> cases for medical training</p>
-            <p><i class="fas fa-hand-holding-droplet" ></i><strong>Identification of tumor biomarkers</strong> in oncology</p>
-            <p><i class="fas fa-capsule" ></i><strong>Analysis of treatment response</strong> in oncology</p>
-            <p><i class="fas fa-virus-covid" ></i><strong>Automatic detection in infectious diseases</strong>, particularly to combat antibiotic resistance</p>
+            <p><i class="fas fa-database" style="margin-right: 8px;"></i><strong> Data augmentation</strong> through the generation of fictitious reports</p>
+            <p><i class="fas fa-comment-medical" style="margin-right: 8px;"></i><strong> Automatic pseudonymization</strong> of medical reports</p>
+            <p><i class="fas fa-laptop-code" style="margin-right: 8px;"></i><strong> Automated medical coding (DIM</strong>) based on medical reports</p>
+            <p><i class="fas fa-brain" style="margin-right: 8px;"></i><strong> Automatic summarization</strong> of medical reports</p>
+            <p><i class="fas fa-hand-holding-medical" style="margin-right: 8px;"></i><strong> Generation of clinical</strong> cases for medical training</p>
+            <p><i class="fas fa-solid fa-hand-holding-droplet" style="margin-right: 8px;"></i><strong> Identification of tumor biomarkers</strong> in oncology</p>
+            <p><i class="fas fa-solid fa-pills" style="margin-right: 8px;"></i><strong> Analysis of treatment response</strong> in oncology</p>
+            <p><i class="fas fa-solid fa-virus-covid" style="margin-right: 8px;"></i><strong> Automatic detection in infectious diseases</strong>, particularly to combat antibiotic resistance</p>
           </ul>
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