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Predictive Analytics in Clinical Trials

Vial

Contract research organizations (CROs) and pharmaceutical companies can leverage these cutting-edge technologies to streamline clinical trials and introduce automation in drug discovery. As clinical trials grow in complexity, the volume of data being gathered and utilized for these studies is expanding.

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A Lesson in History: Assessing Trial Performance Data for Future Trial Design

H1 Blog

Clinical trial success is a key factor for pharma companies when designing and recruiting patients into trials. This data can also provide guidance in terms of diversifying clinical trials to include different types of population demographics such as age, gender, race, ethnicity, or geographic location.

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Trials, Data, Diversity – H1’s Top 5 Diagnoses (Predictions) for Biotech and Pharma in 2024

H1 Blog

How will AI impact clinical trials? Solutions will also emerge that will make it easier to navigate available clinical trials—something like a ‘Zillow.com for trials’ that puts the patient experience at the center. Will FDA legislation improve diversity? What platforms will key opinion leaders adopt?

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The Trust Fall: Building Successful & Diverse Trials Outside the U.S.

H1 Blog

Breaking Down Barriers to International Clinical Trials Global Disruptions, Health Equity & Data Sharing As the U.S. When time is of the essence, like in a global pandemic, how do you scale trials internationally for success? Additionally, clinical trials are no longer confined to one country or region.

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3 Ways CROs Can Expedite Clinical Trial Site Success

H1 Blog

Streamline your operations and improve trial feasibility and outcomes. Clinical Research Organizations (CROs) play an important role in the success of clinical trials. They provide crucial resources, processes, and strategies to ensure that trials are conducted with the highest standards of accuracy and data quality.

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FDA Poised to Make Impact on Underrepresented Populations in Clinical Studies

H1 Blog

Increasing diversity in clinical trials not only makes the findings more relevant to various patient groups, but also enhances knowledge about the disease or medical product being studied. This allows the trial to achieve more precise results at the indication level through leveraging comprehensive information from across the globe. “I

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7 Ways of Generating AI-produced ROI for Life Sciences

H1 Blog

Improved Success Rate: AI’s ability to analyze vast datasets can increase the likelihood of identifying successful drug candidates, thus reducing the number of costly failures in later-stage clinical trials. For more information on how to integrate AI into your workflow, request a demo.

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