Particulars
Synthetic intelligence (AI) has permeated numerous facets of contemporary life, considerably influencing the healthcare sector. Fuelled by this momentum, distant affected person monitoring facilitated by cell sensing know-how is on the best way to altering how sufferers are monitored and handled. By analysing intensive information from wearable units and smartphones, you’ll construct AI-based fashions that may result in early detection of potential well being points and personalised interventions. The combination of AI and distant affected person monitoring holds immense promise for bettering healthcare outcomes.
On this PhD challenge, you’ll conduct a complete evaluation of in depth datasets, reminiscent of RADAR-CNS and/or Mobilise-D, collected from giant cohorts of people monitored remotely for over two years. These datasets embody a various vary of physiological and behavioural parameters, together with coronary heart fee, sleep patterns, bodily exercise, GPS location, and telephone/app use. They signify probably the most intensive observational research utilising wearable units so far.
Your major duties will embody: 1) to extract significant options from these sensor information and apply machine studying algorithms to foretell well being outcomes; 2) to discover superior deep studying methodologies to additional exploit the knowledge embedded inside the information, with the purpose of bettering prediction accuracy. The focused medical circumstances for evaluation could embody melancholy, a number of sclerosis, and Parkinson’ s illness.
For casual dialogue in regards to the challenge, please contact Dr. Shaoxiong Solar, [email protected]. Please add quote [PHD-AI4Health] within the e-mail topic line.
Supervisor Bio
Dr. Shaoxiong Solar is a Lecturer in Pervasive Knowledge Science on the Division of Laptop Science, the College of Sheffield. Beforehand, he was a Senior Analysis Affiliate in Knowledge Science in Cell Well being at King’s School London. Dr. Solar’s analysis pursuits primarily revolve round physiological and behavioural monitoring, leveraging superior sign processing and machine studying methodologies. Dr. Solar has over 30 peer-reviewed publications and a couple of patents granted by the PCT system.
In regards to the Division & Analysis Group
The position shall be primarily based on the Division of Laptop Science, the College of Sheffield. 99 % of our analysis is rated within the highest two classes within the REF 2021, which means it’s classed as world-leading or internationally wonderful. We’re rated as eighth nationally for the standard of our analysis setting, exhibiting that the Division of Laptop Science is a vibrant and progressive place to undertake analysis. The profitable candidate will be part of the Pervasive Computing analysis group. Its analysis focuses on the utilisation of cell or pervasive sensing strategies to assist sooner and safer preventive care, improved patient-centred observe, and enhanced sustainability.
Candidate Necessities
Minimal 2.1 Bachelor’s diploma or Grasp’s diploma in a related self-discipline (e.g., Laptop Science, Electrical Engineering, Biomedical Engineering, and Bioinformatics), or its worldwide equal.
Self-motivated and keen about conducting analysis in synthetic intelligence (AI) and its functions in healthcare innovation.
Proficient in information analytics, machine studying and sign processing (time collection evaluation), with hands-on expertise in making use of these strategies to real-world datasets.
Robust programming abilities in Python and/or MATLAB.
Demonstrated expertise in getting ready scientific manuscripts for journals or conferences.
Methods to Apply
To use for a PhD studentship, functions should be made on to the College of Sheffield utilizing the Postgraduate On-line Utility Kind. Ensure you title Dr. Shaoxiong Solar as your proposed supervisor.
Info on what paperwork are required and a hyperlink to the applying kind will be discovered right here –https://www.sheffield.ac.uk/postgraduate/phd/apply/applying
The shape has complete directions so that you can comply with, and pop-up assist is on the market.
Funding Notes
This PhD studentship will cowl normal UK dwelling tuition charges and supply a tax-free stipend at the usual UK Analysis Council fee (at present £18,622 for 2023/24) for 3.5 years. In case you are an abroad pupil, you’re eligible to use however you need to have the means to pay the distinction between the UK and abroad tuition charges by securing extra funding or self-funding. Additional data on Worldwide charges will be discovered right here https://www.sheffield.ac.uk/new-students/tuition-fees/fees-lookup
References
1) Solar S, Folarin AA, Zhang Y, et al.. The utility of wearable units in assessing ambulatory impairments of individuals with a number of sclerosis in free-living circumstances. Comput Strategies Applications Biomed. 2022 Dec;227:107204.
2) Solar S, Folarin AA, Zhang Y, et al. Challenges in Utilizing mHealth Knowledge From Smartphones and Wearable Gadgets to Predict Despair Symptom Severity: Retrospective Evaluation. J Med Web Res. 2023 Aug 14;25:e45233.
3) Dunn J, Kidzinski L, Runge, R et al. Wearable sensors allow customized predictions of medical laboratory measurements. Nat Med 27, 1105–1112 (2021).