Known as Pattern to Knowledge (P2K), the technology uses artificial intelligence to leverage deep knowledge from data instead of relying solely on classical machine learning.
Thermo Scientific Mass Frontier 8.0 software enables analysts to rapidly deconvolute and search information-rich, MSn mass spectrometric data produced during the identification and structural characterisation of small-molecule unknown compounds and their fragments.
Lonza's next-generation electronic batch record execution platform, the MODA-ES Software Platform, offers a flexible solution for consolidating and managing batch and quality data produced across cell and gene therapy manufacturing processes.
The iMD (interactive molecular dynamics) VR version of Nano Simbox, created by Interactive Scientific (iSci), lets anyone visit and play with the invisible molecular world.
Most research on human genes only concentrates on around 2000 out of a pool of nearly 20,000 genes.
Stanford scientists have developed an algorithm, called Phrank, that automates the most labour-intensive part of genetic diagnosis.
By analysing the brain activity of tetraplegia patients, a new deep-learning algorithm can help restore functional movements to previously paralysed limbs.
Entering the unseen world of atoms, users will be able to follow three possible journeys of the neutron inside the OPAL multipurpose reactor.
The Eurofins IDmyk Comparative Sequence Index database contains 8470 valid bacteria type strain entries.
A virtual reality program created by the ARC Centre of Excellence in Plant Energy Biology takes students on an immersive journey through the cells of plants.
A computer program developed at Monash University has revealed a combination of drugs that may be the answer to treating triple negative breast cancer.
Inspired by how bees make collective decisions, researchers are exploring how crowdsourcing techniques may help intelligence analysts produce the best-reasoned analysis from the available data.
Researchers have developed a sophisticated computational framework to analyse single-cell gene expression levels, scalable to process millions of individual cells.
A big data annotation tool, called bpRNA, makes it easier to understand links between disease and mutant RNA.