Computing hardware/software

ATCC launches portal of reference-quality genome sequences

25 October, 2019

The ATCC Genome Portal is a publicly available database of reference-quality genome sequences matched to authenticated ATCC biological materials.


AI helps predict the effect of antidepressants

07 October, 2019

Imaging the brain's activity in various states is important to get a more accurate picture of how depression manifests in a particular patient.


Thermo Scientific Avizo2D image analysis software

03 October, 2019 | Supplied by: Thermo Fisher Scientific

Thermo Scientific Avizo2D is an AI-powered automated imaging and analysis software designed to help materials and life science researchers acquire fast statistics from their electron microscopy (EM) images without extensive image processing expertise.


Bioinformatics platform helps manage biospecimen library

02 October, 2019 | Supplied by: AXT Pty Ltd

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.


Deep learning deciphers what rats are saying

18 September, 2019 by Lisa Harvey, Managing Editor, MathWorks | Supplied by: MathWorks Australia

For many years, researchers knew that rodents' squeaks told a lot about how the animals are feeling.


Bitplane Imaris 9.3 image analysis software for life science

16 September, 2019 | Supplied by: SciTech Pty Ltd

Bitplane's Imaris 9.3 is a software solution for correlative microscopy, enabling the possibility of opening multiple 2D, 3D or 4D datasets of differing spatial and temporal resolutions in the same scene.


How cloud computing is transforming the life sciences

13 September, 2019 by John Kaleski, Country Manager ANZ, Virtustream | Supplied by: EMC Corporation

While striving to remain on the cutting edge of scientific discovery, researchers need more agile and powerful computing in order to drive towards a better future for everyone.


Creating a fully digitised pathology network

02 September, 2019 | Supplied by: Philips Components Pty Ltd

Faced with increasing demand for histopathology services in a vast but sparsely populated area in Australia, Sullivan Nicolaides Pathology was looking to increase its workflow efficiency.


Autoscribe Informatics Matrix Gemini LIMS

01 September, 2019 | Supplied by: Autoscribe Informatics Pty Ltd

Autoscribe Informatics' Matrix Gemini LIMS (laboratory information management system) is designed to be flexible enough for laboratories managing large volumes of data to strict standards.


AI can identify precancerous pancreatic cysts

12 August, 2019

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.


AI better than humans at diagnosing skin lesions

20 June, 2019

An international challenge compared the diagnostic skills of 511 physicians with 139 computer algorithms from 77 different machine learnings labs.


AI to improve rare disease diagnosis

14 June, 2019

Two separate sets of European researchers have developed their own artificial intelligence methods to identify rare diseases, for which obtaining a definitive diagnosis can be difficult and time-consuming.


Aus researchers tackling antimicrobial resistance with AI

23 May, 2019

A multi-institutional, multimillion-dollar project to understand how antimicrobial-resistant bacteria spread, and to develop new ways to combat it, has won a $1 million grant.


Sartorius Stedim Data Analytics SIMCA 16 software for Multivariate Data Analytics

16 May, 2019 | Supplied by: Sartorius Australia Pty Ltd

Sartorius Stedim Data Analytics has announced SIMCA 16 software for multivariate data analytics. The updated SIMCA focuses on delivering a complete data analysis experience, from data organisation through to data-driven decision-making, supported by multivariate models for single and multiblock analysis.


AI doctor justifies its diagnoses

29 April, 2019

German researchers are currently involved in an interdisciplinary and multi-institutional project aimed at making automated diagnoses from a software program more transparent.


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