Benchling：2026年生物科技AI：突破性进展、结构性瓶颈与未来格局重塑共塑未来报告（英文版）

A handful of tools have broken out of pilot mode and become everyday parts of R&D for biotech AI leaders. These are the use cases scientists now trust and rely on: literature review and knowledge extraction (76% adoption), protein structure prediction (71%), scientific reporting (66%), and target identification (58%). These early ‘killer apps’ succeed because they operate where data is clean and local, results are easily verifiable, and they fit naturally into a scientist’s workflow.