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    <title>Case Study</title>
    <link>https://info.quanthealth.ai/case-study</link>
    <description>Case Study Blog</description>
    <language>en</language>
    <pubDate>Thu, 25 Jun 2026 09:00:39 GMT</pubDate>
    <dc:date>2026-06-25T09:00:39Z</dc:date>
    <dc:language>en</dc:language>
    <item>
      <title>AI-based clinical prioritization of a portfolio of potential assets for inflammatory bowel disease to maximize portfolio ROI</title>
      <link>https://info.quanthealth.ai/case-study/ai-based-clinical-prioritization-of-a-portfolio-of-potential-assets-for-inflammatory-bowel-disease-to-maximize-portfolio-roi</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.quanthealth.ai/case-study/ai-based-clinical-prioritization-of-a-portfolio-of-potential-assets-for-inflammatory-bowel-disease-to-maximize-portfolio-roi" title="" class="hs-featured-image-link"&gt; &lt;img src="https://info.quanthealth.ai/hubfs/Quanthealth%20Website%20Images/1738148746-uc-image.webp" alt="AI-based clinical prioritization of a portfolio of potential assets for inflammatory bowel disease to maximize portfolio ROI" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;h2 style="line-height: 40px; color: #001534;"&gt;Introduction/Background&lt;/h2&gt; 
&lt;p style="color: #001534;"&gt;The customer team was challenged with prioritization of clinical development among 3 potential assets for inflammatory bowel disease.&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.quanthealth.ai/case-study/ai-based-clinical-prioritization-of-a-portfolio-of-potential-assets-for-inflammatory-bowel-disease-to-maximize-portfolio-roi" title="" class="hs-featured-image-link"&gt; &lt;img src="https://info.quanthealth.ai/hubfs/Quanthealth%20Website%20Images/1738148746-uc-image.webp" alt="AI-based clinical prioritization of a portfolio of potential assets for inflammatory bowel disease to maximize portfolio ROI" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;h2 style="line-height: 40px; color: #001534;"&gt;Introduction/Background&lt;/h2&gt; 
&lt;p style="color: #001534;"&gt;The customer team was challenged with prioritization of clinical development among 3 potential assets for inflammatory bowel disease.&lt;/p&gt;  
&lt;img src="https://track-eu1.hubspot.com/__ptq.gif?a=147694203&amp;amp;k=14&amp;amp;r=https%3A%2F%2Finfo.quanthealth.ai%2Fcase-study%2Fai-based-clinical-prioritization-of-a-portfolio-of-potential-assets-for-inflammatory-bowel-disease-to-maximize-portfolio-roi&amp;amp;bu=https%253A%252F%252Finfo.quanthealth.ai%252Fcase-study&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Case study</category>
      <pubDate>Mon, 01 Jul 2024 04:00:00 GMT</pubDate>
      <guid>https://info.quanthealth.ai/case-study/ai-based-clinical-prioritization-of-a-portfolio-of-potential-assets-for-inflammatory-bowel-disease-to-maximize-portfolio-roi</guid>
      <dc:date>2024-07-01T04:00:00Z</dc:date>
      <dc:creator>Omri Matalon, VP Clinical Data Science, QuantHealth</dc:creator>
    </item>
    <item>
      <title>AI-based clinical optimization of an Antibody-Drug Conjugate in metastatic HNSCC to maximize clinical trial success</title>
      <link>https://info.quanthealth.ai/case-study/ai-based-clinical-optimization-of-an-antibody-drug-conjugate-in-metastatic-hnscc-to-maximize-clinical-trial-success</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.quanthealth.ai/case-study/ai-based-clinical-optimization-of-an-antibody-drug-conjugate-in-metastatic-hnscc-to-maximize-clinical-trial-success" title="" class="hs-featured-image-link"&gt; &lt;img src="https://info.quanthealth.ai/hubfs/Quanthealth%20Website%20Images/1737993709-hnscc.webp" alt="AI-based clinical optimization of an Antibody-Drug Conjugate in metastatic HNSCC to maximize clinical trial success" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;h2 style="line-height: 40px; color: #001534;"&gt;Introduction/Background&lt;/h2&gt; 
&lt;p style="color: #001534;"&gt;The customer team was challenged with creating a successful protocol trial design that would achieve the target end point for a phase 3 study involving a novel antibody-drug conjugate (ADC).&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.quanthealth.ai/case-study/ai-based-clinical-optimization-of-an-antibody-drug-conjugate-in-metastatic-hnscc-to-maximize-clinical-trial-success" title="" class="hs-featured-image-link"&gt; &lt;img src="https://info.quanthealth.ai/hubfs/Quanthealth%20Website%20Images/1737993709-hnscc.webp" alt="AI-based clinical optimization of an Antibody-Drug Conjugate in metastatic HNSCC to maximize clinical trial success" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;h2 style="line-height: 40px; color: #001534;"&gt;Introduction/Background&lt;/h2&gt; 
&lt;p style="color: #001534;"&gt;The customer team was challenged with creating a successful protocol trial design that would achieve the target end point for a phase 3 study involving a novel antibody-drug conjugate (ADC).&lt;/p&gt;  
&lt;img src="https://track-eu1.hubspot.com/__ptq.gif?a=147694203&amp;amp;k=14&amp;amp;r=https%3A%2F%2Finfo.quanthealth.ai%2Fcase-study%2Fai-based-clinical-optimization-of-an-antibody-drug-conjugate-in-metastatic-hnscc-to-maximize-clinical-trial-success&amp;amp;bu=https%253A%252F%252Finfo.quanthealth.ai%252Fcase-study&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Case study</category>
      <pubDate>Mon, 01 Jul 2024 04:00:00 GMT</pubDate>
      <guid>https://info.quanthealth.ai/case-study/ai-based-clinical-optimization-of-an-antibody-drug-conjugate-in-metastatic-hnscc-to-maximize-clinical-trial-success</guid>
      <dc:date>2024-07-01T04:00:00Z</dc:date>
      <dc:creator>Omri Matalon, VP Clinical Data Science, QuantHealth</dc:creator>
    </item>
    <item>
      <title>Cutting edge clinical trial design: combining AI-driven clinical optimization with population PK-PD</title>
      <link>https://info.quanthealth.ai/case-study/cutting-edge-clinical-trial-design-combining-ai-driven-clinical-optimization-with-population-pk-pd</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.quanthealth.ai/case-study/cutting-edge-clinical-trial-design-combining-ai-driven-clinical-optimization-with-population-pk-pd" title="" class="hs-featured-image-link"&gt; &lt;img src="https://info.quanthealth.ai/hubfs/Quanthealth%20Website%20Images/1737993709-nash.webp" alt="Cutting edge clinical trial design: combining AI-driven clinical optimization with population PK-PD" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;h2 style="line-height: 40px; color: #001534;"&gt;Introduction/Background​&lt;/h2&gt; 
&lt;p style="color: #001534;"&gt;The customer team was challenged with creating a successful protocol trial design for upcoming phase 2b and future phase 3 to achieve target end point for novel therapeutic.&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.quanthealth.ai/case-study/cutting-edge-clinical-trial-design-combining-ai-driven-clinical-optimization-with-population-pk-pd" title="" class="hs-featured-image-link"&gt; &lt;img src="https://info.quanthealth.ai/hubfs/Quanthealth%20Website%20Images/1737993709-nash.webp" alt="Cutting edge clinical trial design: combining AI-driven clinical optimization with population PK-PD" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;h2 style="line-height: 40px; color: #001534;"&gt;Introduction/Background​&lt;/h2&gt; 
&lt;p style="color: #001534;"&gt;The customer team was challenged with creating a successful protocol trial design for upcoming phase 2b and future phase 3 to achieve target end point for novel therapeutic.&lt;/p&gt;  
&lt;img src="https://track-eu1.hubspot.com/__ptq.gif?a=147694203&amp;amp;k=14&amp;amp;r=https%3A%2F%2Finfo.quanthealth.ai%2Fcase-study%2Fcutting-edge-clinical-trial-design-combining-ai-driven-clinical-optimization-with-population-pk-pd&amp;amp;bu=https%253A%252F%252Finfo.quanthealth.ai%252Fcase-study&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Case study</category>
      <pubDate>Mon, 01 Jul 2024 04:00:00 GMT</pubDate>
      <guid>https://info.quanthealth.ai/case-study/cutting-edge-clinical-trial-design-combining-ai-driven-clinical-optimization-with-population-pk-pd</guid>
      <dc:date>2024-07-01T04:00:00Z</dc:date>
      <dc:creator>Omri Matalon, VP Clinical Data Science, QuantHealth</dc:creator>
    </item>
    <item>
      <title>AI-based clinical and operational optimization enabling cost reductions and improved likelihood of success</title>
      <link>https://info.quanthealth.ai/case-study/ai-based-clinical-and-operational-optimization-enabling-cost-reductions-and-improved-likelihood-of-success</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.quanthealth.ai/case-study/ai-based-clinical-and-operational-optimization-enabling-cost-reductions-and-improved-likelihood-of-success" title="" class="hs-featured-image-link"&gt; &lt;img src="https://info.quanthealth.ai/hubfs/Quanthealth%20Website%20Images/1737993709-ards.webp" alt="AI-based clinical and operational optimization enabling cost reductions and improved likelihood of success" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;h2 style="line-height: 40px; color: #001534;"&gt;Introduction/Background&lt;/h2&gt; 
&lt;p style="color: #001534;"&gt;The customer team was challenged with creating a successful protocol trial design that would achieve the target end point within 9 months with shrinking budget.&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://info.quanthealth.ai/case-study/ai-based-clinical-and-operational-optimization-enabling-cost-reductions-and-improved-likelihood-of-success" title="" class="hs-featured-image-link"&gt; &lt;img src="https://info.quanthealth.ai/hubfs/Quanthealth%20Website%20Images/1737993709-ards.webp" alt="AI-based clinical and operational optimization enabling cost reductions and improved likelihood of success" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;h2 style="line-height: 40px; color: #001534;"&gt;Introduction/Background&lt;/h2&gt; 
&lt;p style="color: #001534;"&gt;The customer team was challenged with creating a successful protocol trial design that would achieve the target end point within 9 months with shrinking budget.&lt;/p&gt;  
&lt;img src="https://track-eu1.hubspot.com/__ptq.gif?a=147694203&amp;amp;k=14&amp;amp;r=https%3A%2F%2Finfo.quanthealth.ai%2Fcase-study%2Fai-based-clinical-and-operational-optimization-enabling-cost-reductions-and-improved-likelihood-of-success&amp;amp;bu=https%253A%252F%252Finfo.quanthealth.ai%252Fcase-study&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Case study</category>
      <pubDate>Wed, 01 Nov 2023 04:00:00 GMT</pubDate>
      <guid>https://info.quanthealth.ai/case-study/ai-based-clinical-and-operational-optimization-enabling-cost-reductions-and-improved-likelihood-of-success</guid>
      <dc:date>2023-11-01T04:00:00Z</dc:date>
      <dc:creator>Omri Matalon, VP Clinical Data Science, QuantHealth</dc:creator>
    </item>
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