This Q&A article — featuring three industry experts — explores the role of artificial intelligence and machine learning applications in the digital lab.
Trials leveraging AI technology and big data in the planning phases can optimise trial design and help researchers identify target patient populations.
The Euretos AI Platform provides an integrated view of publications and relevant research data in combination with user-friendly features and workflows.
Researchers have successfully used machine learning to complete cumbersome materials science calculations more than 40,000 times faster than normal.
The Pawsey Supercomputing Centre has selected HPE to deliver its new supercomputer, featuring significantly increased compute power.
With SkanIt software you have full control over the instrument settings for all your Thermo Scientific microplate readers.
Opyl has developed software that uses artificial intelligence to predict the probability of a vaccine, drug, diagnostic or medical device succeeding in clinical trials.
With an intuitive and user-friendly design, SCIEX OS Software is intended to make mass spectrometry more accessible and straightforward for every user.
Merck has unveiled the Bio4C Software Suite, creating a digital ecosystem that combines process control, analytics and plant-level automation.
The Illumina SARS-CoV-2 Data Toolkit is a suite of data analysis tools and workflow functionality for researchers working with the virus using next-generation sequencing (NGS).
The goal was to design and deploy a decision-support tool using AI capabilities — mostly predictive analytics — to flag future clinical coronavirus severity.
The ATCC Genome Portal is a publicly available database of reference-quality genome sequences matched to authenticated ATCC biological materials.
As a central facility for storing blood and tissue samples, the Auckland Region Tissue Bank has a library that could hold the secrets to unlocking cures for chronic diseases and illnesses.
For many years, researchers knew that rodents' squeaks told a lot about how the animals are feeling.
A laboratory test using artificial intelligence tools has the potential to more accurately sort out which people with pancreatic cysts will go on to develop pancreatic cancers.