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.
Laboratory Informatics Guide 2018
Taking aim at LIMS software
1 March 2018
Robert Roe looks at the use of precision medicine and its potential impact on laboratory informatics software
Data lakes and cloud computing
1 March 2018
Data types used are advancing from the simple text formats of old, writes Paul Denny-Gouldson
Synergy between man and machine
1 March 2018
The failure of a candidate drug can cost millions – so many chemists are turning to software that provides modelling capabilities and multi-parameter optimisation
The future of laboratory informatics
1 March 2018
Robert Roe interviews laboratory informatics software providers who discuss potentially disruptive technologies and their impact on the laboratory informatics market
2017: A year of disruption in the laboratory?
28 February 2018
Robert Roe looks back over the year at technology and processes driving trends in the laboratory
Artificial intelligence reshapes the future of medicine
28 February 2018
Robert Roe explores the use of AI technology in healthcare and medicinal research
Latest issue
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.
