Organizations are recognizing the promise of Artificial Intelligence (AI). It’s becoming an essential tool for improving team performance. In CapeStart’s Life Science AI Research Report, respondents shared their internal organizational goals for exploring AI, offering a glimpse into how life science organizations are leveraging the technology to optimize efficiency and drive innovation. Top AI Goals for…

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…

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…

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…

At the ISPOR 2024 Conference in Atlanta, attending health economics and outcomes research (HEOR) professionals lamented the drudgery of systematic literature reviews (SLRs) as they envisioned the potential for generative artificial intelligence (GenAI) to fix it. With a single SLR estimated to take anywhere from six to 16 months to complete and cost an average…

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…