What’s holding back AI in life sciences R&D? According to Sapio Sciences CIO Sean Blake, it’s not the algorithms — it’s the data. In this opinion piece, he expl
Sean Blake, CIO of Sapio Sciences, argues that fragmented laboratory systems are the primary bottleneck for AI advancement in life sciences R&D, rather than the algorithms themselves. He posits that creating connected and interoperable data environments is crucial for unlocking the full potential of AI in driving future scientific discoveries. AI
IMPACT Fragmented data infrastructure in life sciences R&D hinders AI adoption, suggesting a need for better data integration to accelerate scientific breakthroughs.