Computing hardware/software > Data analysis

Computational tool to assess superbug's response to antibiotics

16 March, 2018

A powerful computational tool has been developed for antimicrobial pharmacological research into one of the world's most dangerous superbugs.


Visualising employment trends in biomedical science

25 January, 2018

US researchers have developed a tool that helps newly trained scientists evaluate various career paths, separating employment trends in biomedical science by sector, type and job specifics.


Personalised seizure prediction made possible with AI

18 December, 2017

Australian epilepsy researchers have used a mobile, brain-inspired processor to bring personalised seizure prediction a step closer to a reality.


Big data provides insights into cardiovascular care post-hospitalisation

25 October, 2017

Cardiologists are collaborating on a groundbreaking study into cardiovascular care, using over 100 million healthcare records from more than 1000 hospitals.


Abbott AlinIQ CDS Expert

05 October, 2017

Abbott's AlinIQ CDS Expert allows clinicians, pathologists and relevant experts to capture their intellectual property and decision-making processes in a case-based and rule-based solution.


DNA sequencing programs vulnerable to cyber attack

14 August, 2017

Everyone knows the importance of practising good cybersecurity, but we bet you never thought your computer could be hacked using DNA.


Search for a Zika cure while you charge your device

25 May, 2016

Anyone with a computer or Android device can volunteer to join the OpenZika project — and you don't need to provide time, expertise or money to help.


MathWorks Release 2016a MATLAB and Simulink product families

22 March, 2016

MathWorks has introduced Release 2016a (R2016a) of its MATLAB and Simulink product families. The release includes the MATLAB Live Editor, which offers the ability to write, run and modify code in a single interactive environment to accelerate exploratory analysis, and App Designer, an environment that simplifies the process of building MATLAB apps.


Big data to advance personalised medicine

04 March, 2016

A five-year research project into personalised medicine for common diseases has been awarded $7 million by the National Health and Medical Research Council.


GENALICE Population Calling analysis module for large-scale DNA variation studies

08 October, 2015

GENALICE has announced the global launch of Population Calling, an analysis module and part of the GENALICE MAP Next-Generation Sequencing (NGS) Data Analysis Suite. The product is said to improve individual patient results and discover disease-specific DNA changes at a reduced time to result.


Mettler Toledo X-10 Automated Lab Reactor Control

20 August, 2015

The RX-10 Automated Lab Reactor Control controls jacketed lab reactors with third-party heating and cooling systems, liquid addition, stirrers and process analytical technology (PAT) tools.


High-performance computer to power a genomic database

24 July, 2015

Inova Translational Medicine Institute has selected a high-performance computer from SGI to enable researchers to obtain insights from its premier genomic database, said to be one of the largest in the world.


Mettler-Toledo Collect+ data collection and visualisation software

23 July, 2015

Mettler-Toledo has introduced its Collect+ data collection and visualisation software. The software shows users a visual overview of their operations, taking complicated process data and making it easy to understand at a glance.


High-performance computer commissioned for big data analysis

30 April, 2015

XENON Systems has won a competitive tender to build a bespoke high-performance computer (HPC) for The University of Queensland (UQ), said to be capable of processing and analysing larger datasets than ever before.


Affymetrix Chromosome Analysis Suite (ChAS) 3.0 Software with Concurrent Molecular Analysis Profiling (CoMAP)

20 April, 2015

The Affymetrix Concurrent Molecular Analysis Profiling (CoMAP) program enables cancer researchers to gain rapid insight into the functional impact of DNA copy-number alterations by combining whole-genome copy-number data with gene expression profiles to easily visualise and identify cancer driver events.


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