Case Study: Feasibility Analysis with Spectrum for Top-10 Pharma

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max-width: 100%; width: 940px;" srcset="https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study%20-%20Blog%20Post.png?width=470&height=265&name=BMS%20Case%20Study%20-%20Blog%20Post.png 470w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study%20-%20Blog%20Post.png?width=940&height=529&name=BMS%20Case%20Study%20-%20Blog%20Post.png 940w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study%20-%20Blog%20Post.png?width=1410&height=794&name=BMS%20Case%20Study%20-%20Blog%20Post.png 1410w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study%20-%20Blog%20Post.png?width=1880&height=1058&name=BMS%20Case%20Study%20-%20Blog%20Post.png 1880w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study%20-%20Blog%20Post.png?width=2350&height=1323&name=BMS%20Case%20Study%20-%20Blog%20Post.png 2350w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study%20-%20Blog%20Post.png?width=2820&height=1587&name=BMS%20Case%20Study%20-%20Blog%20Post.png 2820w" sizes="(max-width: 940px) 100vw, 940px"></p>  <p><span style="font-weight: normal;">________________________________________________________________________________________________________</span></p> <p>In our recent deep dive into the clinical trial processes of top-10 pharmaceutical companies, we discovered something eye-opening: traditional site selection methods and feasibility processes are not only outdated but are also significantly impacting trial success rates.</p> <h3 style="font-weight: bold;"> </h3> <h3 style="font-weight: bold;">Here’s the case-study:</h3> <p>Before the advent of advanced AI tools like Spectrum™, pharma companies primarily relied on manual processes and a biased US-centric approach for their trial sites. This method, while seemingly logical due to regulatory and operational conveniences, posed severe risks of over-concentration and inefficiency that ultimately leads to delays and other trial challenges.</p> <p> </p> <p style="font-weight: bold; font-size: 20px;">We might wonder, why do we stick to this model?</p> <p><img src="https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-01-01.png?width=940&height=223&name=BMS%20Case%20Study-01-01.png" width="940" height="223" loading="lazy" alt="BMS Case Study-01-01" style="height: auto; max-width: 100%; width: 940px;" srcset="https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-01-01.png?width=470&height=112&name=BMS%20Case%20Study-01-01.png 470w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-01-01.png?width=940&height=223&name=BMS%20Case%20Study-01-01.png 940w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-01-01.png?width=1410&height=335&name=BMS%20Case%20Study-01-01.png 1410w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-01-01.png?width=1880&height=446&name=BMS%20Case%20Study-01-01.png 1880w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-01-01.png?width=2350&height=558&name=BMS%20Case%20Study-01-01.png 2350w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-01-01.png?width=2820&height=669&name=BMS%20Case%20Study-01-01.png 2820w" sizes="(max-width: 940px) 100vw, 940px"></p> <p>But with Spectrum, this game has changed.</p> <p> </p> <h3><strong>The Challenge</strong></h3> <p>A top-10 pharmaceutical Sponsor faced a daunting task: identify the most suitable sites for a critical phase III Obstructive Hypertrophic Cardiomyopathy(oHCM)<span style="color: black;"> </span>trial.</p> <p>With a target of 500 participants spread across 250 sites, a 730-day enrollment window, and a 365-day site activation period, the stakes were high. Traditional methods left them heavily reliant on US sites, which posed significant risks, including over-concentration and extended timelines.</p> <h3><strong>The Analysis</strong></h3> <p>Spectrum completed a comprehensive, data-driven feasibility analysis and leveraged cutting-edge AI to create two distinct scenarios:</p> <img src="https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-02-1.png?width=940&height=759&name=BMS%20Case%20Study-02-1.png" width="940" height="759" loading="lazy" alt="BMS Case Study-02-1" style="height: auto; max-width: 100%; width: 940px;" srcset="https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-02-1.png?width=470&height=380&name=BMS%20Case%20Study-02-1.png 470w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-02-1.png?width=940&height=759&name=BMS%20Case%20Study-02-1.png 940w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-02-1.png?width=1410&height=1139&name=BMS%20Case%20Study-02-1.png 1410w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-02-1.png?width=1880&height=1518&name=BMS%20Case%20Study-02-1.png 1880w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-02-1.png?width=2350&height=1898&name=BMS%20Case%20Study-02-1.png 2350w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-02-1.png?width=2820&height=2277&name=BMS%20Case%20Study-02-1.png 2820w" sizes="(max-width: 940px) 100vw, 940px"><br> <h3><strong>The Execution</strong></h3> <p>Our machine learning model didn’t just skim the surface; it dove deep into both proprietary and public historical data, predicting trial timelines with remarkable precision. This endeavor was not just about crunching numbers but about harnessing the power of Real-World Data (RWD) and machine learning to transform clinical trial operations. Here’s what we found:</p> <h3><img src="https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-03-1.png?width=940&height=345&name=BMS%20Case%20Study-03-1.png" width="940" height="345" loading="lazy" alt="BMS Case Study-03-1" style="height: auto; max-width: 100%; width: 940px;" srcset="https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-03-1.png?width=470&height=173&name=BMS%20Case%20Study-03-1.png 470w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-03-1.png?width=940&height=345&name=BMS%20Case%20Study-03-1.png 940w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-03-1.png?width=1410&height=518&name=BMS%20Case%20Study-03-1.png 1410w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-03-1.png?width=1880&height=690&name=BMS%20Case%20Study-03-1.png 1880w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-03-1.png?width=2350&height=863&name=BMS%20Case%20Study-03-1.png 2350w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-03-1.png?width=2820&height=1035&name=BMS%20Case%20Study-03-1.png 2820w" sizes="(max-width: 940px) 100vw, 940px"><strong style="background-color: transparent; letter-spacing: 0px;">The Impact</strong></h3> <p>The results were both clear, and compelling:</p> <img src="https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-04.png?width=940&height=879&name=BMS%20Case%20Study-04.png" width="940" height="879" loading="lazy" alt="BMS Case Study-04" style="height: auto; max-width: 100%; width: 940px;" srcset="https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-04.png?width=470&height=440&name=BMS%20Case%20Study-04.png 470w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-04.png?width=940&height=879&name=BMS%20Case%20Study-04.png 940w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-04.png?width=1410&height=1319&name=BMS%20Case%20Study-04.png 1410w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-04.png?width=1880&height=1758&name=BMS%20Case%20Study-04.png 1880w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-04.png?width=2350&height=2198&name=BMS%20Case%20Study-04.png 2350w, https://blog.lokavant.com/hs-fs/hubfs/BMS%20Case%20Study-04.png?width=2820&height=2637&name=BMS%20Case%20Study-04.png 2820w" sizes="(max-width: 940px) 100vw, 940px"><br> <p style="font-weight: bold; font-size: 20px;">By integrating Spectrum’s AI-driven insights, this study sponsor didn’t just follow the usual path; they blazed a new trail in clinical trial feasibility.</p> <p style="font-weight: bold; font-size: 20px;"> </p> <div id="hs_cos_wrapper_widget_29a64747-f1be-47d7-a4e1-68a84acb6dd1" class="hs_cos_wrapper hs_cos_wrapper_widget hs_cos_wrapper_type_module widget-type-form" style="" data-hs-cos-general-type="widget" data-hs-cos-type="module"> <span id="hs_cos_wrapper_widget_29a64747-f1be-47d7-a4e1-68a84acb6dd1_" class="hs_cos_wrapper 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Case Study: Feasibility Analysis with Spectrum for Top-10 Pharma