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Pharmacokinetics Advancing the Efficiency of Clinical Studies Across Life Sciences Industry

Perficient Digital Transformation

The results of these analyses help pharmaceutical companies better understand the impact drugs can have on the human body and influences critical decisions in the drug manufacturing process. We can proudly stand behind this work, knowing that it could help our partner be more efficient throughout research and development.”.

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Mastering healthcare data governance with data lineage

IBM Services

For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. Healthcare organizations must adhere to data privacy regulations like HIPAA and GDPR. The healthcare industry faces arguably the highest stakes when it comes to data governance.

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Redefining clinical trials: Adopting AI for speed, volume and diversity

IBM Services

Successful clinical studies hinge on efficiently recruiting and retaining diverse participants. Recognizing this gap, regulators emphasize the importance of greater diversity. Digital health technologies and software do more than just enhance accessibility and efficiency in clinical trials.

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Decoding the Generative AI Buzz in Life Sciences | Blog

Everest Group

Despite challenges and regulations, the life sciences industry is actively exploring GAI’s possibilities. Although GAI can potentially disrupt the life sciences technology ecosystem in many significant ways, navigating the various risks and challenges that come with its implementation in this highly regulated industry will be critical.

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Exploring the Potential of Generative AI in the Life Sciences Commercial Technology Landscape | Blog

Everest Group

However, given the strict industry regulations, human intervention/oversight remains essential for the overall usage of GAI. Exhibit 1 illustrates the key use cases that enterprises are striving to unlock in the near term.

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How TMF Study Owners Can Provide Better TMF Management

Transperfect

The TMF is a source of evidence examined by regulators to ensure credible clinical trial data and protection of patients’ rights and safety. This is great for enabling smarter, more efficient ways for study teams to work. They also collaborate with study teams to check on study milestones and process compliance.

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Six innovation strategies for Life Science organizations in 2023

IBM Services

Along with these challenges, the ongoing drive to reduce costs, improve efficiency and productivity, drive better decision-making and reduce risk will continue to drive pharma investment in cloud, AI/ML, analytics and automation in 2023 despite higher interest rates. Manufacturing costs and costs of clinical trials will continue to rise.