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@@ -84,8 +84,8 @@
 <img src="files/demo.gif" width="900" >
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 <tr><td><center>
-Please register for Hugging Face and fill out this form [link] to access the online demo of Visual Med-Alpaca. 
-Warning: Only for academic usage and do not apply it to real clinical scenarios!
+</br></br>
+Please fill out this <a href=https://forms.gle/X4A8sib7qpU499dY8>form</a> to access the online demo. <b>Warning: Only for academic usage and do not apply to real clinical scenarios!</b>
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@@ -126,16 +126,16 @@ We apologize for the inconvenience, but this project is currently undergoing int
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-<li> Data: Github
+<li> Data: <a href=https://forms.gle/X4A8sib7qpU499dY8>Github</a>
 </li>
 
-    <li> Data Generation: Github
+    <li> Data Generation: <a href=https://forms.gle/X4A8sib7qpU499dY8>Github</a>
 </li>
-        <li> Visual Adaptation: Github
+        <li> Visual Adaptation: <a href=https://forms.gle/X4A8sib7qpU499dY8>Github</a>
 </li>
-    <li> Training Code: Github
+    <li> Training Code: <a href=https://forms.gle/X4A8sib7qpU499dY8>Github</a>
 </li>
-  <li> Demo: Huggingface Space
+  <li> Demo: <a href=https://forms.gle/X4A8sib7qpU499dY8>Huggingface Space</a>
 </li>    
     
 <!-- </li>
@@ -216,7 +216,11 @@ Compare with ChatGPT / Alpaca / Galactica
 <div class="section">
 <span class="section-title"> Future Work </span>
 </br></br>
-Compare with ChatGPT / Alpaca / Galactica
+One of the most crucial future works is the evaluation of NLP models within the biomedical field thoroughly. With the varying structure and type of medical data, it is essential to assess the efficacy of NLP models and their generalizability across different data sets. </br></br>
+
+Moreover, pretraining on medical data can enhance the performance of NLP models in the biomedical field. It can help in the identification of disease phenotypes and the representation of clinical concepts.</br></br>
+
+The addition of genome protein modality can help in achieving better reasoning in NLP models. Given that genetic and protein information are critical for understanding disease processes, NLP can aid in the analysis of large volumes of genomic data, making it possible to identify novel mutations involved in various disease processes. Therefore, incorporating genomic information into NLP models will enable a wider range of applications within the biomedical field.</br></br>
 </div>
 
 
@@ -226,7 +230,7 @@ Compare with ChatGPT / Alpaca / Galactica
 Visual Med-Alpaca, is intended for academic research purposes only. Any commercial or clinical use of the model is strictly prohibited. This decision is based on the non-commercial license inherited from LLaMA, on which the model is built. Additionally, Visual Med-Alpaca is not legally approved for medical use in any country. Users should be aware of the model's limitations in terms of medical knowledge and the possibility of misinformation. Therefore, any reliance on Visual Med-Alpaca for medical decision-making is at the user's own risk. 
 </br></br>
 <b>Note: The developers and owners of the model, the Language Technology Lab at Cambridge University, do not assume any liability for the accuracy or completeness of the information provided by Visual Med-Alpaca, nor will they be responsible for any potential harm caused by the misuse of the model.</b>
-
+</br></br>
 
 </div>
 
@@ -243,7 +247,7 @@ We are deeply grateful for the contributions made by open-source projects:
 <a href="https://github.com/microsoft/visual-chatgpt">Visual-ChatGPT</a>,
 <a href="https://github.com/microsoft/GenerativeImage2Text">GenerativeImage2Text</a>.
 </div>
-
+</br></br>
 <p>&nbsp;</p>
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