Healthcare Innovation Centre

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Zulfiqur Ali
- Z.Ali@tees.ac.uk
- Centre for Digital Innovation
- Centre for Rehabilitation
- Healthcare Innovation Centre
- SHLS Life Sciences - Research Professor & Director of Academic Research and Innovation Partnerships
Person: Senior Management, Senior Academic
19892020
Claudio Angione
- C.Angione@tees.ac.uk
- Centre for Digital Innovation
- Department of Computing & Games - Reader (Research)
- Healthcare Innovation Centre
Person: Academic
20122020
Simon Bateson
- S.W.Bateson@tees.ac.uk
- SHLS Life Sciences - Digital Manufacturing Product Developer, Digital Manufacturing Product Developer (Electronics)
- Healthcare Innovation Centre - Research
Person: Research
20142020

4 Active
12 Finished

Interpretable machine learning methods for cross-omic mechanistic signatures of young hepatoblastoma
Angione, C.
Children's Liver Disease Foundation
3/02/20 → 31/07/21
Project: Research
KTP - Development of a dashboard for Quorn proteome
Taylor, G., Scrivens, J., Montague, G. & Akram, S.
1/02/20 → 28/02/22
Project: Research
SockectSense: Advanced sensor-based design and development of wearable prosthetic socket for amputees
Gao, J. & Ali, Z.
European Commission
1/01/19 → 31/12/21
Project: Research

60 Article
9 Conference contribution
7 Paper
3 Chapter
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Acrylamide in industrial potato crisp manufacturing: a potential tool for its reduction
Ledbetter, M., Bartlett, L., Montague, G., Fiore, A., Sturrock, K. & McNamara, G., 1 Apr 2020, In: LWT - Food Science and Technology. 123
Research output: Contribution to journal › Article › peer-review

Open Access
File
32 Downloads (Pure)
A hybrid flux balance analysis and machine learning pipeline elucidates the metabolic response of cyanobacteria to different growth conditions
Vijayakumar, S., Rahman, P-M. S. M. & Angione, C., 18 Nov 2020, In: iScience. 1 p., 101818.
Research output: Contribution to journal › Article › peer-review

Open Access
File
102 Downloads (Pure)
A mechanism-aware and multiomic machine-learning pipeline characterizes yeast cell growth
Culley, C., Vijayakumar, S., Zampieri, G. & Angione, C., 16 Jul 2020, In: Proceedings of the National Academy of Sciences. 11 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
222 Downloads (Pure)

Additive manufacturingPrint potential
Zulfiqur Ali
4/04/12
1 item of Media coverage
Press/Media: Press / Media
Partnerships Make All The Difference
Zulfiqur Ali
23/06/11
1 item of Media coverage
Press/Media: Press / Media
Mine's a pint (of science)
Zulfiqur Ali, Gobind Pillai & Mosharraf Sarker
15/05/15
1 item of Media coverage
Press/Media: Press / Media