iTREND Uncategorized

Publications and submissions 2019/20 from the iTrend Intelligent Technologies for Renal Dialysis Programme @derbyuni

Gullapudi, J. Stewart, P. Stewart, T. Walker, K. White, TE Eldehni, MW.Taal, NM. Selby, ‘Frequency analysis reveals unique haemodynamic responses to haemodialysis: Baseline results from the iTREND study’, European Renal Association – European Dialysis And Transplant Association Annual Congress, Budapest, Hungary, 13-16 June 2019 http://mediatheque.cyim.com/mediatheque/media.aspx?mediaId=64727&channel=60398 Gullapudi, J. Stewart, P. Stewart, T. Walker, K. White, TE […]

iTREND Uncategorized

New publications from the iTrend Programme by Profs Paul and Jill Stewart @derbyuni @derby_HSRC

Stewart, Jill, Paul Stewart, Thomas Walker, Tarek Eldehini, Daniela V. Horner, Bethany Lucas, Kelly White, et al. 2020. “A Feasibility Study of Non-invasive Continuous Estimation of Brachial Pressure Derived from Arterial and Venous Lines During Dialysis.” engrXiv. May 7. doi:10.31224/osf.io/xpv65. https://doi.org/10.31224/osf.io/xpv65 Stewart, Jill; Stewart, Paul; Walker, Thomas; Gullapudi, Latha; Eldehni, Tarek; Selby, Nicholas; et al. […]

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The impact of acceptance of illness on quality of life outcomes for haemodialysis patients @derbyuni @derbyunivc

The impact of acceptance of illness on quality of life outcomes for haemodialysis patients Carol Stalker 1,2, Professor James Elander 1, Professor Kathryn Mitchell 1 Professor Paul Stewart 1, Professor Maarten Taal 2,3, Dr Nicholas Selby 2,3   1 University of Derby, 2 Centre for Kidney Research and Innovation, University of Nottingham, 3 Department of […]

iTREND Uncategorized

Fully-funded >PhD studentship in Mech/Elec Engineering @derbyuni on iTrend Programme now available

The fully funded studentship will carry out research to support the iTrend (Intelligent Technologies in Renal Dialysis) project team, which is a collaborative research project between the Derby University, Royal Derby Hospital and Nottingham University. School of Engineering and Technology, University of Derby     A fully-funded full-time traditional route PhD Post Graduate Research Assistantship […]

Uncategorized

Progress on the iTrend Renal Dialysis project @DerbyUni

Thanks to a brilliant effort by our project partners at Derby Royal Hospital, there are now 50 dialysis patients taking part in our Patient Study. Each patient has real-time data (heart rate, instantaneous blood pressure, peripheral resistance, stroke volume etc) collected in parallel to the dialysis machine parameters each time they visit for a clinic […]

Uncategorized

What is acceptance, and how could it affect health outcomes for people receiving renal dialysis?

A research output from our collaborating colleagues in @DerbyUniPsych as part of the iTrend Intelligent Technologies for Renal Diagnostics project funded by MStart TITLE:What is acceptance, and how could it affect health outcomes for people receiving renal dialysis?AUTHORS:Stalker, Carol ( 0000-0002-9734-9924 )  ; Elander, James ( 0000-0001-7665-5482 )  ; Mitchell, Kathryn; Taal, Maarten W.; Selby, Nicholas; Stewart, Paul ( 0000-0001-8902-1497 )  ABSTRACT:Renal dialysis is a […]

Horizon 2020 Research SME Innovation and Competitiveness Uncategorized University of Derby

EU Horizon 2020 Health research and innovation funding calls…looking to form consortia? @DerbyUni

Good news seems to indicate there’s a good chance that the UK will have continuing involvement with EU Horizon 2020 and beyond Here’s the H2020 info graphic for Health Research and Innovation calls. I’ll be posting more about our capabilities later, but in the meantime, contact us if you are interested in forming a consortium.

Endowed Chair in Intelligent Systems Research Uncategorized

Machine Learning by synthetic training image sets via @DerbyUniHSC @FujiFilm imaging suite #DerbyUni

Just starting to attack the problem of deep learning, and machine learning more generally for medical image applications, which intrinsically needs a good training set. Currently, this takes time and domain-specific knowledge to gather low-error annotated image sets. This training set acts as the benchmark against which deep-learning nets are trained. That is what they […]

Endowed Chair in Intelligent Systems Research Uncategorized

Excellent health technologies research meeting with Derby Royal Hospital staff yesterday @DerbyUni

 Paula Holt, PVC and Dean of the College of Health and Social hosted a meeting between @DerbyUni researchers and staff from Derby Royal Hospital to develop research collaboration and grant applications in medical technology. Never having toured the College’s facilities before, it was really interesting to see the quality of simulation and practice equipment built […]