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clinical trials
How can AI help in Transforming the Drug Development Cycle?
Artificial intelligence (AI) is transforming the pharmaceutical industry with extraordinary innovations that are automating processes at every stage of drug development. Pharma companies are investing in AI-driven applications for transforming healthcare, reducing R&D spends, and expanding the scope of drug discovery. By expediting research efforts, AI is turning hype into use cases and increasing ROI …
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Can AI-Enhanced Data Analytics Accelerate Clinical Trials?
The success rate of clinical trials carries significant weight in the business of pharma. In addition to dedicating considerable time and effort, the industry spends billions on R&D every year. Clinical development requires optimal decision-making and multiple insights on various parameters, including identifying trial sites, recruiting patients, coordinating logistics, and overseeing research. Adding pressure to …
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Leveraging AI to Optimize Clinical Trial Design and Site Enrollment
The request The client wanted help with clinical trial design and assistance with site selection, patient enrollment, and identification of suitable investigators. Background and challenges The client, a mid-sized pharmaceutical company, was entering phase II clinical trials for a drug targeting diffuse large B-cell lymphoma (DLBCL). However, due to limited prior experience clinically developing an …
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Leveraging the Role of AI for More Successful Clinical Trials
The pharmaceutical industry spends billions on R&D each year. Clinical trials require tremendous amounts of effort, from identifying sites and enrolling patients to overseeing research functions and coordinating trial logistics. Trials often run over budget or are delayed because of a number of factors, such as an inadequate number of patients available for the study, …
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Five Reasons to Embrace Data-Driven Drug Development
The growth of the pharmaceutical and biotechnology industry depends on successful clinical trials. The cost of developing a new drug that gets approval is estimated at around $2-3 billion. The longer the trial lasts and the more patients it has involved, the larger the loss. The researchers at Johns Hopkins Bloomberg School of Public Health …
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