Mark Newton, a consultant from Heartland QA, gives his take on the scale of research misconduct taking place in laboratories
Dr Alexander Jarasch and Professor Martin Hrabe de Angelis explain that novel research methods produce tremendous amounts of data that cannot be analysed with classic analysis tools – so scientists need to look for new approaches, such as graph technology
Darren Barrington-Light, senior manager product marketing for Thermo Fisher Scientific, explains the importance of integrating a LIMS software package into the pharmaceutical data chain
Robert Roe talks to laboratory software providers about their plans for the future of the laboratory
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
Robert Roe looks at regulatory and technological changes that are changing the way drug development is carried out
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.
