Case study

31Jul 2018

  CSIRO is a partner in the Dementia Team Grant led by Prof Ian Blair at Macquarie University – one of only six funded applications. The Challenge: Uncovering the molecular mechanisms of Amyotrophic Later Sclerosis (ALS). CSIRO is responsible for the genomic data analysis of 800 Australian WGS ALS samples, as well as the data […]

20Jul 2018

The Challenge: Renewal software and terminology to support MALT initiative The Royal Australasian College of Surgeons (RACS) pursued a visionary e-health, future-proofed data environment for their members and stakeholders who contribute data to their Morbidity Audit and Logbook Tool (MALT). MALT collects data in order to track the surgeon’s experience and performance during training, as […]

19Jul 2018

The Australian e-Health Research Centre at CSIRO, together with Johnson & Johnson Medical Devices Australia, have designed and developed Activate TKR, an orthopaedic support technology platform, which comprises a mobile phone application (app), a wearable activity tracker, and a clinical web portal. The Challenge: Patients aren’t completing rehab following total knee replacements The app aims […]

05Jun 2018

The Challenge:  Finding ways to support children with autism to develop social interaction and communication skills For children on the autism spectrum, social interaction and communication can be significantly challenging. Approximately 83 per cent of the 164,000 Australians living with autism spectrum disorder are under 25 years old. Additional support is often needed to help […]

20Mar 2018

Advanced bioinformatics tools help sift through millions of genomic mutations to discover the origins of dementia and related neurodegenerative diseases as part of a network of national and international experts. The Challenge: Understanding neurodegenerative diseases Dementia, the pathological decrease in the ability to think and remember, is one of the leading causes of deaths in […]

09Mar 2018

Computational tools to improve genome engineering applications   The GT-Scan suite contains computational tools for efficiently solving the optimisation problem of identifying the most suitable target for genome engineering approaches, which requires to maximise on-target activity (guide efficiency) while also to minimise potential off-target effects (guide specificity). The GT-Scan suite is a machine learning framework […]

09Mar 2018

machine learning for population-scale whole genome data Genomic information is increasingly being used for medical research, giving rise to the need for efficient analysis methodologies able to cope with thousands of individuals and millions of genomic variants. We developed VariantSpark, a machine learning analysis framework for genomic data, utilizing the BigData Spark engine to enable […]

08Feb 2018

  The Challenge: Diabetic retinopathy screening can only be done by specialists Diabetic retinopathy is a complication affecting one in three people with diabetes. Without early detection and timely treatment, it can lead to partial loss of vision or blindness. Only specialists (ophthalmologists) can screen and diagnose people for this condition, so GPs refer at-risk […]