The complexity of analytical data has created bottlenecks in chemical R&D. Richard Lee, Director of Core Technology, ACD/Labs reveals how democratised automation could eliminate these inefficiencies whilst improving data quality and readiness for AI-driven modelling
Chemical research environments are undergoing a profound transformation as modern laboratories confront rising demands for greater data throughput, more seamless integration of analytical and structural information, and a higher level of preparedness… [7809 chars]
Source: Scientific Computing World | Published: 2026-01-15T10:53:51Z
Credit: Scientific Computing World
