Projects per year
Personal profile
Biography
Associate Professor Richard Beare
Richard is an Associate Professor in the Academic Unit, Medicine, Peninsula Clinical School, within the Central Clinical School, whos expertise in Bioinformatics and Imaging is used to conduct high quality translational research into chronic conditions affecting the ageing population.
Current Projects
1. Imaging and statistical methods for longitudinal brain imaging studies.
Brain imaging studies using MRI generate large volumes of raw data that needs to be transformed into forms amenable to statistical analysis. Different types of image and different studies require different approaches. This project develops software processing pipelines to process data from studies run by our group, such as the TASCOG, CDOT, METTS, and within international datasets (ADNI). The project also develops methods for analysis of images from preclinical studies.
2. Analysis methods for structural covariance.
Structural covariance is an approach to generating population level networks from brain structural MRI data. This differs from the typical source of brain network information such as diffusion weighted imaging or functional imaging. This project explores sparse methods for generation of structural covariance networks.
3. Health services planning and optimization using Google maps.
Travel time is an important part of many health services, such as ambulance transport to hospital emergency departments for acute stroke. This project uses Google maps queries to construct objective estimates travel time that vary with traffic conditions to allow various models of health service delivery to be evaluated and compared.
Current Funding
- Brain Research Foundation - Characterising structure-function relationships in childhood stroke using advanced brain imaging
- NHMRC 1063608 The role of Central Haemodynamics in Type 2 Diabetes Mellitus-related brain disease.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research area keywords
- Ageing
- Brain Research
- Bioinformatics
- Imaging
Collaborations and top research areas from the last five years
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Metabolic Phenotypes and Heterogeneity in Disease Burden Risk in Type 1 Diabetes
1/11/21 → 31/10/24
Project: Research
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RCHT1D30: Identifying lifelong factors that impact brain health and outcomes in type 1 diabetes: The Cognition and Longitudinal Assessments of Risk Factors over 30 Years (CLARiFY) Diabetes Complications Study
Feldman, E., Cameron, F., Beare, R., Lili, Z., Northam, E., Srikanth, V., Moran, C., Anderson, P., Biessels, G. J., Busui, R., Callaghan, B., McCrimmon, R., Reiss, A. & Ryan, C.
NIH - National Institutes of Health (United States of America)
1/09/21 → 31/07/26
Project: Research
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Optimising health information exchange during aged care transfers
Andrew, N., Long, K., Srikanth, V., Haines, T., Hill, K., Bell, S., Olivier, P., Beare, R., Smith, K., Blackberry, I., Moran, C., Barker, A. & Xie, J.
Department of Health and Aged Care (Australia)
30/06/21 → 29/06/24
Project: Research
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Towards a National Data Management Platform and Learning Health System
Teede, H., Kannan, A., Andrew, N., Pearce, C., Johnson, A., Enticott, J., Bonnington, P., Dobson, R., Curcin, V., McKimm, A., Wale, R., Bingham, G., Tong, E., Mason, C. W., MacBean, L., Pearce, C., Ferrigi, J., Andrew, N., Beare, R., Srikanth, V., Phung, D., Du, L., Collyer, T., Shaw, T. J., Snelling, T. L., Keech, W., Geelhood, G. & Wilson, A.
1/02/21 → 30/06/22
Project: Research
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Brain, cognition, mental health and functional outcomes in Type 1 diabetes – ~thirty year follow-up of the Royal Children’s Hospital Cohort
Cameron, F., Srikanth, V., Moran, C., Beare, R. & Northam, E. A.
10/07/19 → 30/04/21
Project: Research
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Acceptability of the routine use and collection of a generic patient reported outcome measure from the perspective of healthcare staff: a qualitative study
Snowdon, D. A., Srikanth, V., Beare, R., Noeske, K. E., Le, E., O’Bree, B. & Andrew, N. E., Dec 2023, In: Journal of Patient-Reported Outcomes. 7, 1, 11 p., 81.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
A landscape assessment of the use of patient reported outcome measures in research, quality improvement and clinical care across a healthcare organisation
Snowdon, D. A., Srikanth, V., Beare, R., Marsh, L., Parker, E., Naude, K. & Andrew, N. E., Dec 2023, In: BMC Health Services Research. 23, 1, 14 p., 94.Research output: Contribution to journal › Article › Research › peer-review
Open Access3 Citations (Scopus) -
Analysis of the alveolar shape in 3-D
Reimelt, A. M., Vasilescu, D. M., Beare, R., Labode, J., Knudsen, L. & Grothausmann, R., 1 Mar 2023, In: American Journal of Physiology - Lung Cellular and Molecular Physiology. 324, 3, p. L358-L372 15 p.Research output: Contribution to journal › Article › Research › peer-review
1 Citation (Scopus) -
Association between brain health outcomes and metabolic risk factors in persons with diabetes
Reynolds, E. L., Votruba, K., Jack, C. R., Beare, R., Reid, R. I., Preboske, G. M., Waseta, C., Pop-Busui, R., Nelson, R. G., Callaghan, B. C. & Feldman, E. L., 2023, (Accepted/In press) In: Annals of Clinical and Translational Neurology. 8 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
AUC maximization for low-resource named entity recognition
Nguyen, D., Tan, W., Du, L., Buntine, W., Beare, RI. & Chen, C., 2023, Proceedings of the 37th AAAI Conference on Artificial Intelligence. Williams, B., Chen, Y. & Neville, J. (eds.). Washington DC USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 13389-13399 11 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 37, no. 11).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile2 Citations (Scopus)