Transform life sciences with intelligent technology—delivering breakthrough treatments faster, smarter, and more affordably.
Transform life sciences with intelligent technology—delivering breakthrough treatments faster, smarter, and more affordably.
of biopharma executives agree AI foundation models will enable connections across data types, revolutionizing where and how AI is used
of biopharma executives agree that technology plays a critical role in all current and future reinvention strategy
of biopharma executives agree that data transparency is becoming a competitive differentiator
of life sciences supply chain executives want better real-time inventory and visibility from external manufacturing partners
Precision medicine & personalized therapies: There’s growing emphasis on tailoring treatments to individuals — using genomics, biomarker profiling, and advanced diagnostics to develop therapies for complex diseases (like cancer, rare diseases, immunology) that are more effective and less “one-size-fits-all.”
Lab automation, robotics, biomanufacturing: Automation and robotics are becoming more common in labs and manufacturing (sample handling, high-throughput screening, cell/gene therapies), enabling more efficient and scalable biologics production and research workflows.
Growth of biotech supporting infrastructure: Outsourcing to contract development and manufacturing organizations (CDMOs), usage of flexible “single-use technologies,” and cloud-based collaboration platforms are helping translate research into therapies faster and more efficiently.
Rising global opportunity — especially in emerging markets: Demand from Asia-Pacific, Latin America, and other fast-growing regions is fueling expansion beyond traditional Western markets, opening new avenues for biotech, diagnostics, and personalized medicine companies.
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