Dr Zain Hussain

Associate Faculty Member (CEP), SSC1 Tutor, Early Year Guide (MBChB)

Biography

Background

Dr Hussain obtained his BSc (Hons) in Medicine from the University of St Andrews, UK and MBChB Medicine from the University of Edinburgh, UK, in 2017 and 2020 respectively. He is an Academic Core Psychiatry Trainee in Inverclyde Royal Hospital, an Honorary Clinical Lecturer at the University of Glasgow and an Executive Committee Member of the Royal College of Psychiatrists Digital Psychiatry Special Interest Group.

He has been an Associate Faculty Member of the Clinical Educator Programme since 2020, and undertakes a range of teaching and research activities in Edinburgh Medical School. He is an SSC1 Tutor and an Early Year Guide, on the MBChB programme. He also sits on the steering group of the Undergraduate Certificate in Medical Education (UCME), is the founding Co-ordinator of the FY Clinical Skills Tutor Scheme (CEP & EUMES), and works on medical education research projects.

He was a 2020-22 Foundation Fellow at the Royal College of Psychiatrists, as part of which he received CPD funding of ~£1500. He has previously held appointments as a Visiting Researcher at the Boston University School of Public Health, USA (2020) and the School of Computer Science and Engineering, Nanyang Technological University, Singapore (2018), and as a Visiting Student Researcher at the Nuffield Department of Surgical Sciences, University of Oxford, UK (2015-17). In 2022, he received the NIHR Mental Health TRC and Royal College of Psychiatrists Research Taster Award, as part of which he completed an academic placement at the Department of Psychiatry, University of Oxford.

Qualifications

2020 MBChB, University of Edinburgh

2017 BSc (Hons), University of St Andrews

Responsibilities & affiliations

Foundation Fellow, Royal College of Psychiatrists [2020-22]

Foundation Trainee Representative (East): Scottish Foundation School (NHS Education for Scotland) [2020-22]

Board Member, Edinburgh Interfaith Association (SC017622)

Junior Fellow, Howard Brain Sciences Foundation

Student Activities Liaison Officer, IEEE UK and Ireland Industry Applications Chapter

Research Associate, Association of University Teachers of Psychiatry 

Undergraduate teaching

SSC 1 Tutor

Early Year Guide

Research summary

His research interests are focussed on exploiting artificial intelligence and data science in a range of healthcare applications, including primary care, public health, neuroscience and psychiatry, ophthalmology and medical education. He has presented his work at national and international conferences, and published in leading academic journals, including the Journal of Medical Internet Research, BMJ Open and the IEEE Biomedical and Healthcare Informatics Journal.

PUBLICATIONS

  1. Hussain, Z., van Schalkwyk, MC., Galea, S., Petticrew, M., Maani N. (2022) A qualitative framing analysis of how firearm manufacturers and related bodies communicate to the public on gun-related harms and solutions. Preventive Medicine. https://doi.org/10.1016/j.ypmed.2022.107346
  2. James B Badenoch, Isabella Conti, Emma R Rengasamy, Cameron J Watson, Matthew Butler, Zain Hussain, Alasdair G Rooney, Michael S Zandi, Glyn Lewis, Anthony S David, Catherine F Houlihan, Ava Easton, Benedict D Michael, Krutika Kuppalli, Timothy R Nicholson, Thomas A Pollak, Jonathan P Rogers. (2022) Neurological and psychiatric presentations associated with human monkeypox virus infection: a systematic review and meta-analysis. medRxiv 2022.07.03.22277069; doi: https://doi.org/10.1101/2022.07.03.22277069 (accepted eClinicalMedicine)
  3. Hussain Z, Sheikh Z, Tahir A, Dashtipour K, Gogate M, Sheikh A, Hussain A. (2022) Artificial intelligence-enabled social media analysis for pharmacovigilance of COVID-19 vaccinations in the United Kingdom: Observational Study. JMIR Public Health Surveill. 2022 Feb 8. DOI: 10.2196/32543. Epub ahead of print. PMID: 35144240.
  4. Ieracitano C, Mammone N, Versaci M, Varone G, Ali AR, Armentano A, Calabrese G, Ferrarelli A, Turano L, Tebala C, Hussain Z, Sheikh Z, Sheikh A, Sceni G, Hussain A, Morabito FC. (2022) A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images. Neurocomputing. 2022 Apr 7;481:202-215. doi: 10.1016/j.neucom.2022.01.055. Epub 2022 Jan 21. PMID: 35079203; PMCID: PMC8776345.

  5. James B Badenoch, Emma R Rengasamy, Cameron Watson, Katrin Jansen, Stuti Chakraborty, Ritika D Sundaram, Danish Hafeez, Ella Burchill, Aman Saini, Lucretia Thomas, Benjamin Cross, Camille K Hunt, Isabella Conti, Sylvia Ralovska, Zain Hussain, Matthew Butler, Thomas A Pollak, Ivan Koychev, Benedict D Michael, Heinz Holling, Timothy R Nicholson, Jonathan P Rogers, Alasdair G Rooney. (2021). Persistent neuropsychiatric symptoms after COVID-19: a systematic review and meta-analysis, Brain Communications, 2021;, fcab297, https://doi.org/10.1093/braincomms/fcab297

  6. Hussain, Z., Ng, D. M., Alnafisee, N., Sheikh, Z., Ng, N., Khan, A., Hussain, A., Aitken, D., & Sheikh, A. (2021). Effectiveness of virtual and augmented reality for improving knowledge and skills in medical students: protocol for a systematic review. BMJ open, 11(8), e047004. 10.1136/bmjopen-2020-047004
  7. Young SL, Ng N, Yap NJ, Hussain Z, Cackett PD. A novel multidisciplinary approach to the management of end-stage macular disease. British Journal of Visual Impairment. August 2021. doi:10.1177/02646196211032694
  8. Rogers, J. P., Watson, C. J., Badenoch, J., Cross, B., Butler, M., Song, J., Hafeez, D., Morrin, H., Rengasamy, E. R., Thomas, L., Ralovska, S., Smakowski, A., Sundaram, R. D., Hunt, C. K., Lim, M. F., Aniwattanapong, D., Singh, V., Hussain, Z., Chakraborty, S., ... Rooney, A. G. (2021). Neurology and neuropsychiatry of COVID-19: a systematic review and meta-analysis of the early literature reveals frequent CNS manifestations and key emerging narratives. Journal of Neurology, Neurosurgery & Psychiatry, jnnp-2021-326405. 10.1136/jnnp-2021-326405
  9. Muhamed F, Wadii B, Hussain Z, Asrar R, Moiz S, Hussain S, Ng N, Ng D, Harris H, Shaikh M, Sheikh A, Hussain A. (2021). Novel couple reaction- diffusion system of partial- differential equations for explainable gene expression profiling. https://doi.org/10.3390/s21062190
  10. Varone, G.; Hussain, Z.; Sheikh, Z.; Howard, A.; Boulila, W.; Mahmud, M.; Howard, N.; Morabito, F.C.; Hussain, A. (2021) Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures. Sensors 2021, 21, 637. https://doi.org/10.3390/s21020637
  11. Cresswell K, Tahir A, Sheikh Z, Hussain Z, Domínguez Hernández A, Harrison E, Williams R, Sheikh A, Hussain A (2020). Using Artificial Intelligence-enabled analysis of social media data to understand public perceptions of COVID-19 contact tracing apps. J Med Internet Res 2021;23(5):e26618. doi: 10.2196/26618
  12. Hussain A, Tahir A, Hussain Z, Sheikh Z, Gogate M, Dashtipour K, Ali A, Sheikh A (2020). Artificial intelligence-enabled analysis of UK and US public attitudes on Facebook and Twitter towards COVID-19 vaccinations. J Med Internet Res 2021;23(4):e26627. doi: 10.2196/26627
  13. Smith, J., Abhari, R., Hussain, Z., Heneghan, C., Collins, G. and Carr, A. (2020). Financial interests and evidence in public comments on the FDA framework for modifications to artificial intelligence/machine learning-based medical devices. BMJ Open 2020;10:e039969. 10.1136/bmjopen-2020-039969
  14. Ren, J., Yan, Y., Zhao, H., Ma, P., Zalbalza, J., Hussain, Z., Luo, S., Dai, Q., Zhao, S., Sheikh, A., Hussain, A. (2020) A novel intelligent computational approach to model epidemiological trends and assess the impact of nonpharmacological interventions for COVID-19. IEEE Journal of Biomedical and Health Informatics, DOI:10.1109/JBHI.2020.3027987.
  15. Hussain, Z., Shah, S.A., Mukherjee, M., & Sheikh, A. (2020) Predicting the risk of asthma attacks in adolescents and adults: protocol for a machine learning algorithm derived from a primary care-based retrospective cohort. BMJ Open 2020;10:e036099. DOI:10.1136/bmjopen-2019-036099

Project activity

Artificial intelligence (AI)-powered dashboard for COVID-19

From May - September 2020, I worked as an Honorary Clinical RF, under the supervision of Prof Aziz Sheikh, on a research project funded by the Scottish Government Chief Scientist Office (https://www.ed.ac.uk/usher/news-events/news-2020/ai-powered-dashboard-for-covid-19). We developed a novel Artificial Intelligence (AI) powered dashboard for COVID-19 related public sentiment and opinion mining in social media platforms, for informing national policy considerations (https://covidtracker.cloud/).

The Neurology and Neuropsychiatry of COVID-19 Blog

As a Foundation Fellow (RCPsych), I worked as part of a team to collate and analyse evidence relating to the neurological and neuropsychiatric manifestations and complications of COVID-19 infections. We provided weekly updates including a brief digest of new publications, every Tuesday (https://blogs.bmj.com/jnnp/2020/05/01/the-neurology-and-neuropsychiatry-of-covid-19/).

Three systematic reviews have been completed to-date. The first of these was titled "The neurology and neuropsychiatry of COVID-19: a systematic review and meta-analysis of the early literature reveals frequent CNS manifestations and key emerging narratives" has been published in the Journal of Neurology, Neurosurgery, and Psychiatry (JNNP).

The firearm industry as a commercial determinant of health

I have worked under the supervision of Dr Nason Maani and Prof Sandro Galea at the Boston School of Public Health, where I completed a qualitative study exploring the role of the firearm industry as a commercial determinant of health. This was recently published in ‘Preventive Medicine’, and is titled “A qualitative framing analysis of how firearm manufacturers and related bodies communicate to the public on gun-related harms and solutions”.

Past project grants

£1500, CPD Fund, Royal College of Psychiatrists, UK

Papers delivered

CONFERENCE POSTERS

  1. Hussain, Z.U.*, Ng, D.*, Youssef, H., Young, S., Cackett, P. (September, 2020) Using an ensemble convolutional neural network to detect diabetic retinopathy in rural areas in India.

Poster at: “Virtual Autumn Scottish Ophthalmological Club Meeting 2020”

  1. Hussain, Z., Dawda, S., Zioupos, L, Aitken, D. (June 2020) Turning new medical graduates into educators during the pandemic.

E-poster at: “Medical Education in the time of COVID-19” Virtual Conference, June 6th 2020

  1. Aitken, D., Han, M., Hussain, Z.U., Mautsi, C., Porth, E., Gray, M., Harden, J. (June 2020) “You can’t be what you can’t see”: the importance of racially diverse role models in medical education.

Poster (presented) at: Learning and Teaching Conference 2020, University of Edinburgh, UK

  1. Hussain, Z.U.*, Ng.D.* (December, 2019) Using artificial neural networks to predict patient prognosis in critical care in order to improve access to palliative care.

Oral Presentation at: Evidence and Impact Meeting, Palliative Care Section, Royal Society of Medicine, London, UK

  1. Hussain, Z.U.*, Ng, D.*, Shah, M.A. (December, 2019) Predicting the risk of chronic kidney disease in adults: machine learning algorithm derived from electronic health records.

Oral presentation at: President’s Prize Day Nephrology 2019, Royal Society of Medicine, London, UK

  1. Hussain, Z.U.*, Ng, D.*, Comerford, D., Ng, N., Shah, M.A., Dashtipour, K. (November, 2019) Exploring the use of deep learning on multi-modal sensor data for monitoring human activity: an application in remote elderly care.

Poster presentation at: Royal College of Physicians of Edinburgh (RCPE) Research Symposium for Medical Students & Foundation Doctors

  1. Ng, D*, Hussain, Z.U.*, Muneeb, F. (October, 2019) Detection of diabetic retinopathy using convolutional neural networks.

Poster presentation at: Royal College of General Practitioners (RCGP) Annual Primary Care Conference and Exhibition 2019

  1. Ng, D.*, Hussain, Z.U.*, Deakin, B. (July, 2019). Diffusion Weighted Imaging of white matter in first‐episode Schizophrenia: an anatomical likelihood estimation meta-analysis.

Poster presentation at: The Royal College of Psychiatrists International Congress 2019, London, UK

  1. Hussain, Z.U.*, Ng, D.*, Ng, N. (March, 2019). Natural Language Processing in Neurosurgery: A systematic review.

Poster presentation at: Royal Medical Society’s 9th Annual Conference: Tech in Medicine 2019 [Abstract published in Res Medica Journal] [Best Poster Prize]

  1. Hussain, Z.U., Paracchini, S. (March, 2018). Handedness: Exploring links with cognitive abilities and neurodevelopmental disorders.

Oral Presentation at: Royal Medical Society’s National Conference 2018: Mental Health [Abstract published in Res Medica Journal]

*denotes co-first author

 

CONFERENCE PROCEEDINGS

  1. Z. U. Hussain et al. (2020) "A Comparison of Machine Learning Approaches for Predicting the Progression of Crohn’s Disease" 2020 IEEE Student Conference on Research and Development (SCOReD), Batu Pahat, Johor, Malaysia, 2020, pp. 529-533, doi: 10.1109/SCOReD50371.2020.9251019.
  2. Ali, L., Khelil, K., Wajid, S.K., Hussain, Z.U., Shah, M.A., & Howard, A. et al. (2017). Machine learning based computer-aided diagnosis of liver tumours. In 2017 IEEE 16th International Conference On Cognitive Informatics & Cognitive Computing (ICCI*CC). doi: 10.1109/icci-cc.2017.8109742

 

  • 2020 - Commendation Letter, MBChB, University of Edinburgh
  • 2020 - Place for All Award, Edinburgh University Students’ Association Student Awards 2020
  • 2020 - Student Place Award: Eye News Ophthalmology Symposium 2020
  • 2019 - Palliative Care Section Research Prize: Royal Society of Medicine (1st Place Oral Presentation)
  • 2019 - National Forensic Psychiatry Trainee Conference Bursary: Royal College of Psychiatrists
  • 2019 - Merit: Student Research (SSC5a, MBChB, University of Edinburgh)
  • 2019 - Best Poster Prize: Royal Medical Society’s 9th Annual Conference: Tech in Medicine
  • 2018 - Joint-winner: “Public Health Product Forge” Hackathon (formed team ‘Docmetrics’ and developed a data analytics tool for General Practice – team covered in national press:  http://futurescot.com/forge-public-health-hackathon/)
  • 2016 - St Andrews Vacation Scholarship: Undergraduate Research Assistantship Scheme, University of St. Andrews
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