Artificial Intelligence
JAX launches CARDIOVERSE to develop virtual hearts and expand computational toxicology for safer therapies
| 3 min read
New industry findings show how leadership uncertainty is shaping communication, governance, and expectations—offering implications for laboratory environments
| 2 min read
Survey shows major gaps in AI governance, scientific data quality, and model visibility in labs
| 3 min read
Veeva is committed to partnering with the industry to enable significant productivity improvements
| 5 min read
A human-centric AI strategy can help lab leaders strengthen trust, skills, and collaboration across scientific teams
| 2 min read
Federal agencies outline a new plan to advance AI-driven discovery, emphasizing data infrastructure, workforce training, and research innovation
| 2 min read
As laboratories become more data-driven through AI and automation, cybersecurity is emerging as an essential part of high-quality safety management
| 2 min read
Elsevier’s Researcher of the Future report shows that while many researchers see AI’s benefits, trust, training, and governance gaps still limit adoption in corporate R&D
| 2 min read
As laboratory automation expands, proactive lab leadership and targeted technical training can turn digital disruption into long-term workforce development
| 3 min read
As artificial intelligence reshapes research, a lack of workforce literacy threatens data integrity, reproducibility, and inclusivity across laboratory environments
| 3 min read
