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
In January 2020 the American Diabetes Association released a new set of clinical standards that, for the first time, included the use of an FDA-approved autonomous artificial intelligence (AI) platform for detecting diabetic retinopathy in people with diabetes.
At the end of February physIQ and the US Department of Veteran’s Affairs published data from a clinical trial demonstrating the use of physIQ’s machine-learning algorithm to predict when an individual patient with previously diagnosed heart failure will likely require a readmission to hospital.
Cloud research tools provide a platform for new avenues of scientific research by providing fast access to bare-metal resources.
New processors and GPU technology continue to demand more power than the previous generations, combining this with increasingly dense architectures requires cooling solutions such as liquid or immersion cooling.
Tate Cantrell, CTO, Verne Global, comments on the cost of the AI computing revolution
European researchers are working on a new programming environment for exascale computing that aims to make using these systems more efficient and programmers more productive.
