Agilent has announced that it will acquire Genohm, a developer of highly differentiated, on-premise and cloud-based software solutions for laboratory management
Imagine a laboratory in the future where all devices and instruments communicate their status, activities and data with each other and with enterprise information systems. Data would be acquired without manual intervention.
As the Internet of Things approaches mainstream adoption and standards for data exchange among devices mature, smart labs can become a reality. In this white paper we discuss:
Drug development is facing change – both from technological pressures, such as the use of AI and machine learning, plus new regulations which are driving sweeping changes to the way electronic records are created and stored for clinical trials.
Robert Roe speaks with laboratory informatics software providers about the future of their software and the introduction of new technologies, such as AI and deep learning
Scientists are now beginning to use new technologies such as the internet of things (IoT), artificial intelligence (AI) and machine learning (ML) in their daily workflows.
In today’s world, where drug development integrates science and technology, consumer safety is paramount in the pharmaceutical industry.
