Update index.html

index.html

@@ -208,135 +208,50 @@ Marie-Lannelongue</a><sup>2</sup>
         <h2 class="title is-3">Abstract</h2>
         <div class="content has-text-justified">
           <p>
-            PARTAGES (Advanced Development of Digital Commons for Generative Artificial Intelligence in Healthcare) is a project coordinated by the Health Data Hub. A winner of the “Digital Commons for Generative AI” call for projects under the France 2030 plan, it aims to accelerate and democratize the use of large language models (LLMs) for healthcare professionals.
+            <strong>PARTAGES (Advanced Development of Digital Commons for Generative Artificial Intelligence in Healthcare)</strong> is a project coordinated by the Health Data Hub. A winner of the “Digital Commons for Generative AI” call for projects under the France 2030 plan, it aims to accelerate and democratize the use of large language models (LLMs) for healthcare professionals.
           </p>
           <p>
-            Its goal: to create a national momentum fostering the emergence of open generative AI solutions in healthcare, as well as their adoption within the healthcare ecosystem—whether academic, research-based, or industrial.
+             <strong>Its goal: </strong> to create a national momentum fostering the emergence of open generative AI solutions in healthcare, as well as their adoption within the healthcare ecosystem—whether academic, research-based, or industrial.
           </p>
         </div>
       </div>
     </div>
     <!--/ Abstract. -->
 
-    <!-- Paper video. -->
-    <div class="columns is-centered has-text-centered">
-      <div class="column is-four-fifths">
-        <h2 class="title is-3">Video</h2>
-        <div class="publication-video">
-          <iframe src="https://www.youtube.com/embed/MrKrnHhk8IA?rel=0&amp;showinfo=0"
-                  frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
-        </div>
-      </div>
-    </div>
-    <!--/ Paper video. -->
-  </div>
-</section>
-
-
-<section class="section">
-  <div class="container is-max-desktop">
-
+    <!-- Text. -->
     <div class="columns is-centered">
-
-      <!-- Visual Effects. -->
-      <div class="column">
-        <div class="content">
-          <h2 class="title is-3">Visual Effects</h2>
+      <div class="column is-four-fifths">
+        <h2 class="title is-3">A four-step approach</h2>
+        <div class="content has-text-justified">
           <p>
-            Using <i>nerfies</i> you can create fun visual effects. This Dolly zoom effect
-            would be impossible without nerfies since it would require going through a wall.
+            <strong>1. Developing Medical LLMs</strong>
           </p>
-          <video id="dollyzoom" autoplay controls muted loop playsinline height="100%">
-            <source src="./static/videos/dollyzoom-stacked.mp4"
-                    type="video/mp4">
-          </video>
-        </div>
-      </div>
-      <!--/ Visual Effects. -->
-
-      <!-- Matting. -->
-      <div class="column">
-        <h2 class="title is-3">Matting</h2>
-        <div class="columns is-centered">
-          <div class="column content">
-            <p>
-              As a byproduct of our method, we can also solve the matting problem by ignoring
-              samples that fall outside of a bounding box during rendering.
-            </p>
-            <video id="matting-video" controls playsinline height="100%">
-              <source src="./static/videos/matting.mp4"
-                      type="video/mp4">
-            </video>
-          </div>
-
-        </div>
-      </div>
-    </div>
-    <!--/ Matting. -->
-
-    <!-- Animation. -->
-    <div class="columns is-centered">
-      <div class="column is-full-width">
-        <h2 class="title is-3">Animation</h2>
-
-        <!-- Interpolating. -->
-        <h3 class="title is-4">Interpolating states</h3>
-        <div class="content has-text-justified">
           <p>
-            We can also animate the scene by interpolating the deformation latent codes of two input
-            frames. Use the slider here to linearly interpolate between the left frame and the right
-            frame.
+            Building an open-source corpus of French medical text data to train, evaluate, and distribute multiple open-source medical language models.
           </p>
-        </div>
-        <div class="columns is-vcentered interpolation-panel">
-          <div class="column is-3 has-text-centered">
-            <img src="./static/images/interpolate_start.jpg"
-                 class="interpolation-image"
-                 alt="Interpolate start reference image."/>
-            <p>Start Frame</p>
-          </div>
-          <div class="column interpolation-video-column">
-            <div id="interpolation-image-wrapper">
-              Loading...
-            </div>
-            <input class="slider is-fullwidth is-large is-info"
-                   id="interpolation-slider"
-                   step="1" min="0" max="100" value="0" type="range">
-          </div>
-          <div class="column is-3 has-text-centered">
-            <img src="./static/images/interpolate_end.jpg"
-                 class="interpolation-image"
-                 alt="Interpolation end reference image."/>
-            <p class="is-bold">End Frame</p>
-          </div>
-        </div>
-        <br/>
-        <!--/ Interpolating. -->
-
-        <!-- Re-rendering. -->
-        <h3 class="title is-4">Re-rendering the input video</h3>
-        <div class="content has-text-justified">
           <p>
-            Using <span class="dnerf">Nerfies</span>, you can re-render a video from a novel
-            viewpoint such as a stabilized camera by playing back the training deformations.
+            <strong>2. Creating an open database of fictional medical reports</strong>
+          </p>
+          <p>
+            Creation and release as open data of a unique corpus of over 5,000 fictional medical reports, including 1,450 annotated reports, covering 20 specialties. This effort involved more than 100 residents and young physicians and will be used in particular to train specialized models.
+          </p>
+          <p>
+            <strong>3. Develop models for targeted use cases</strong>
+          </p>
+          <p>
+            Using these resources, PARTAGES is developing seven specialized AI models designed for high-impact use cases in research, innovation, and the healthcare system. 
+          </p>
+          <p>
+            <strong>4. Establish a national federated evaluation platform</strong>
+          </p>
+          <p>
+            Development of a sovereign federated evaluation platform, enabling the evaluation of algorithms on real-world data within a secure regulatory framework. It will be deployed in 20 healthcare facilities but may be used by any facility wishing to access it.
           </p>
         </div>
-        <div class="content has-text-centered">
-          <video id="replay-video"
-                 controls
-                 muted
-                 preload
-                 playsinline
-                 width="75%">
-            <source src="./static/videos/replay.mp4"
-                    type="video/mp4">
-          </video>
-        </div>
-        <!--/ Re-rendering. -->
-
       </div>
     </div>
-    <!--/ Animation. -->
+    <!--/ Text. -->
+
 
 
     <!-- Concurrent Work. -->