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AI Strategy Readiness: Team Capabilities and Vendor Support Insights from CapeStart’s Life Science AI Research Report

Artificial Intelligence (AI) holds immense promise, but its successful adoption depends on two critical factors: whether teams have the capability to implement AI strategies and whether they can access the right vendor support. CapeStart’s Life Science AI Research Report sheds light on these questions, offering a deeper understanding of how organizations are navigating these challenges. Team…

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AI Initiatives in Action: Insights from CapeStart’s Life Science AI Research Report

Artificial Intelligence (AI) is no longer a concept of the future—it's firmly entrenched in the here and now. CapeStart’s Life Science AI Research Report examines how actively life science professionals involved in AI initiatives. The findings underscore how AI is gradually transforming businesses, particularly in the life sciences industry. Engagement in AI Initiatives: A Snapshot…

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lr

How Life Science Professionals Feel About AI Empowering Their Work: Key Insights from CapeStart’s GenAI Report

Artificial Intelligence (AI) is making waves in industries worldwide, but how do professionals in life sciences feel about its potential? According to CapeStart’s Life Science AI Research Report, a resounding 91% of respondents believe that AI can assist and empower their work. This overwhelming optimism highlights a strong recognition of AI’s transformative capabilities. Belief in…

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Pharma Manufacturing

How AI is Reshaping Pharmaceutical Manufacturing

Artificial intelligence (AI) has significantly impacted the pharmaceutical business in several ways, from drug discovery and formulation to clinical trials and monitoring for adverse drug reactions. But AI can also help improve pharma manufacturing, distribution, and supply chain management by improving efficiency, safety, quality, and other processes. Here’s how AI can be used to improve…

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Artificial Intelligence and the Changing Landscape of Regulations in the Life Sciences

AI has become an integral part of the life sciences landscape, contributing to advancements in diagnosis, treatment, and overall healthcare delivery. But many worry that without proper government oversight, the use of AI and machine learning (ML) algorithms could also cause negative and unintended consequences, including critical errors and bias amplification. That’s why many international…

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