Ensure you have access to insights early with connected devices and clean, analysis-ready data
Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn moreDeveloping IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
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SEARCH JOBSAs the drug development landscape becomes more complex, pharmaceutical and biotech companies understand their business strategies have to evolve. This need is putting a spotlight on how clinical trial sponsors are increasingly looking to fine-tune their trial programmes and related strategies as early as possible, to accelerate development efforts with efficiency, cost, and time in mind.
As innovative thinking meets advanced tech-enabled solutions and a breadth of relevant data that is exponentially growing, sponsors can gauge and integrate strategic approaches and scalable tools into research and development efforts like never before. Below are several noteworthy advancements helping sponsors to optimise trial strategy and design.
Understanding an asset's value in a highly competitive market is critical for trial sponsors, especially biotechs. However, given the breadth of data available to sponsors today, using traditional manual processes to extract insights that guide clinical planning is not possible. Industry stakeholders are now integrating artificial intelligence/machine learning-driven solutions and expertise into clinical strategy planning and design. With access to multiple trusted sources (e.g., trial registries, scientific literature, and toxicology testing databases), AI/ML is helping sponsors sift through and aggregate information and extract meaningful insights for analysis.
These tools generate deep insights and showcase hundreds of thousands of pathways helpful to programme strategy and design. This is why it is critical for solutions to be underpinned by experienced data scientists and AI/ML engineers who understand sponsors' specific questions and can apply that knowledge when building the training models to pinpoint what insights are eventually extracted. With that awareness, sponsors can secure predictive insights for areas important to their programmes, such as:
To read more either download the article or go to https://pharmaphorum.com/rd/ensuring-rd-investments-deliver-maximum-potential-notable-ways-enhance-clinical-development
Ensure you have access to insights early with connected devices and clean, analysis-ready data