Digital Medicine & Digital Biology
The work of the Digital Medicine & Digital Biology research theme takes the advances being made in areas including artificial intelligence, biosignal processing, bioinformatics, computational modelling, mobile and cloud-based computing, and deep learning, and uses them to drive improvements in how health and wellbeing are supported. A primary focus is the development of a connected health system that makes high quality health services more accessible, more equitable, and more responsive to the needs of patients, and which provides continuity of care, from the hospital environment back into the home and community.
- Our team
- Additional team members
- Our capabilities and infrastructure
- Our impact
Also working in Digital Medicine and Digital Biology:
- Dr Akanksha Bhargava
Digital Medicine & Digital Biology spans areas including Artificial Intelligence (AI) for medical and biological challenges, predictive analytics, bioinformatics, telehealth and telemedicine, health software, mobile health apps, data processing of electronic health records, computational biology, computational modelling, and biomedical signal processing. This is supported by multidisciplinary expertise in AI, biomedical machine learning, software engineering, genomics, telehealth, image processing, and systems modelling.Ìý
Our work is bolstered by advanced research facilities and laboratories, including world-class high-performance computing systems comprising GPU and CPU computing facilities, AI Laboratories, Biomedical Sensor Laboratories, Bioinformatic Laboratories, Connected Health Laboratories, and Imaging and Digital Technology Laboratories, all equipped with state-of-the-art equipment to support our research endeavours.
You can get more information on our Facilities here.
