Smartphone Based Diagnostics: developing a smartphone application algorithm with for both Android and iOS operating systems at University of Birmingham on FindAPhD.com

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Dr A Yetisen Applications accepted all year round

About the Project

The high mobile phone penetration and rapidly growing telecommunications infrastructure in the world represents an unprecedented opportunity for reading and transferring point-of-care diagnostic data. Global mobile-cellular subscriptions have grown 70% over the last decade, reaching 7 billion as of 2017. Hence, exploiting the existing mobile phone infrastructure to monitor health conditions and the environment will accelerate the efforts towards low-cost healthcare for existing and emerging diseases.

The aim of this project is to develop a smartphone application algorithm with for both Android and iOS operating systems. The app will transform the smartphone camera into a reader to quantify commercial colorimetric tests with high accuracy and reproducibility in measuring biomarkers.

The successful student will form part of a multidisciplinary team and will be supervised by Dr. Ali K. Yetisen based in the Institute of Translational Medicine (www.itmbirmingham.co.uk) and the School of Chemical Engineering at the University of Birmingham.

Funding Notes

Students must have an undergraduate degree or master’s degree in engineering, software engineering, chemistry, physics, materials science or a closely related subject.

University of Birmingham scholarships are available for exceptional UK/EU students. Self-funded international students are welcome to apply this post. Potential candidates should contact Dr. Ali K. Yetisen ([Email Address Removed]) and include a CV. Applications will be evaluated on an on-going basis until the position is filled.

References

A smartphone algorithm with inter-phone repeatability for the analysis of colorimetric tests†. Sensors and Actuators B: Chemical, 196, 156-160 (2014)

Multiplex Smartphone Diagnostics In Multiplex Biomarker Techniques: Methods and Applications, Methods in Molecular Biology Series, Ed. Guest, P.C. Chapter 26, 1546, 295-302. Springer Nature (2017)

The regulation of mobile medical applications. Lab on a Chip, 14 (5), 833-840 (2014)

Where will I study?

University of Birmingham

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Smartphone Based Diagnostics: developing a smartphone application algorithm with for both Android and iOS operating systems

University of Birmingham School of Chemical Engineering