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.
Features
20 April 2020
Sophia Ktori discusses an autonomous AI platform for detecting diabetic retinopathy with Michael Abramoff, founder and executive chairman of IDx
20 April 2020
Sophia Ktori discusses the convergence of clinical AI and wearable technology with physIQ chairman and CEO Gary Conkright
06 April 2020
Increasingly power-hungry and high-density processors are driving the growth of liquid and immersion cooling technology
06 April 2020
Robert Roe talks to Antonio Peña EPEEC, project coordinator and senior researcher for the Barcelona Supercomputing Center about progress on a European programming framework for HPC
24 February 2020
Sophia Ktori discusses the implementation of data standards for laboratory informatics
24 February 2020
Robert Roe considers the latest cloud and SaaS technology, and the benefits it can provide to laboratories with today’s workflows and AI initiatives
24 February 2020
European researchers have developed a framework to boost the energy efficiency of CPU, GPU and FPGA resources, writes Robert Roe
24 February 2020
Robert Roe takes a look at the processing technologies available to HPC and AI users
12 February 2020
Robert Roe takes a look at the strategies used by laboratory managers to make efficient use of cloud resources
12 February 2020
For the potential for AI and machine learning methods in drug development to be realised, companies and organisations are forming partnerships to better understand and develop these technologies, writes Sophia Ktori
11 February 2020
This chapter looks at how to build a smart laboratory; what approaches to take; and how to deal with potential problems. Becoming ‘smart’ takes time, not only due to the level of investment required, but also because of the impact of change and the need to consider legacy requirements.
11 February 2020
This chapter considers who cares about how smart the laboratory is, and why? It also looks at the broader business requirements and their impact on the laboratory, with an emphasis on productivity and business efficiency, integration with manufacturing and business systems, patent evidence creation, regulatory compliance, and data integrity and authenticity
Pages
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.
