Insigneo Newsletter - March 2023

Welcome to our monthly Insigneo newsletter!  

Our monthly e-newsletter keeps you up to date with events, funding, success stories and information. We hope you will find it useful! 

Insigneo Showcase 2023 - keynote speaker confirmed

The Insigneo Institute's Annual Showcase event will be held on 14 July 2023 at the University of Sheffield's Diamond Building. 

This full day event is an opportunity for our members, funding agencies, regulatory agencies, industrial colleagues, and other academic groups in the UK to meet and see first-hand the innovative research produced by our Institute.

The day will feature:

• A plenary talk from Professor Jackie Hunter from BenevolentAI 
• Sessions from our five research themes:  Biomaterials / Biomechanics / Cell engineering; Computational modelling in medicine; Biomedical imaging; Smart devices and sensors; and Healthcare data / AI;
• Early Career Researcher presentations – hear about emerging research with perspectives from the next generation of researchers;

• Poster exhibition

• Networking opportunities with industry, funders, academics and clinicians.

PhD Programme in Digital Health 

We are delighted to announce the launch of The Sheffield Children’s Hospital/Insigneo Institute PhD Programme in Digital Health in collaboration with Great Ormond Street Children’s Hospital. There are four competition funded studentships in Paediatric Digital Healthcare Technology.

The PhD students will work together in a pioneering cross-disciplinary programme alongside patients, families, clinicians, engineers, computer scientists and other experts to develop new digital platforms and technologies that can address unmet needs in child health.

The research will focus on paediatric clinical care pathways and span the Insigneo Institute’s research themes of Healthcare Data, Artificial Intelligence and Smart Devices and Sensors. It will develop the concepts of:

• Digital Twins
• Digital Wards
• Digital Healthcare at Home
• Advanced Healthcare Communication

in paediatric real life healthcare settings with Sheffield Children’s Hospital and in collaboration with Great Ormond Street Hospital.

Medical Research Council Impact Accelerator Award scheme

Medical Research Council Impact Accelerator Award scheme, helping fund proof of concept experiments for new healthcare technologies.

For those members who are part of the MRC Impact Accelerator Award consortium, this is a reminder that the deadline for submissions is the 26th of May and to get in touch with your institutional technology transfer or commercialisation representatives early to increase the likelihood of success.

For Insigneo members you can contact Alex Wilkinson for guidance and support. 

New ultrasound method could lead to easier disease diagnosis

A new ultrasound method that can measure the level of tension in human tissue for the first time - a key indicator of disease - has been developed by researchers from the University of Sheffield. 

The breakthrough, made by Insigneo member, Dr Artur Gower, from the University of Sheffield's Department of Mechanical Engineering, together with researchers from Harvard, Tsinghua University, and the University of Galway, could be used to build new ultrasound machines that are able to better diagnose abnormal tissue, scarring, and cancer.

A chemo-mechano-biological modeling framework for cartilage evolving in health, disease, injury, and treatment

Congratulations to Insigneo Member Dr Paul Watton from the Department of Computer Science, and colleagues from the Universities of  Connecticut and Colorado, whose research has developed a virtual cartilage model to understand the complex mechanical and biochemical factors which affect cartilage health in relation to causes and progression of osteorarthritis.  The team's research has been published in the journal Computer Methods and Programs in Biomedicine.

Osteoarthritis is a pervasive and debilitating disease, wherein degeneration of cartilage features prominently. Despite extensive research, we do not yet understand the cause or progression of Osteoarthritis. Studies show biochemical, mechanical, and biological factors affect cartilage health. Mechanical loads influence synthesis of biochemical constituents which build and/or break down cartilage, and which in turn affect mechanical loads. Osteoarthritis-associated biochemical profiles activate cellular activity that disrupts homeostasis.

To understand the complex interplay among mechanical stimuli, biochemical signaling, and cartilage function requires integrating vast research on experimental mechanics and mechanobiology—a task approachable only with computational models. At present, mechanical models of cartilage generally lack chemo-biological effects, and biochemical models lack coupled mechanics, let alone interactions over time.

This flexible framework is a first step toward computational investigations of how cartilage and chondrocytes mechanically and biochemically evolve in degeneration of Osteoarthritis and respond to pharmacological therapies. The framework will enable future studies to link physical activity and resulting mechanical stimuli to progression of Osteoarthritis and loss of cartilage function, facilitating new fundamental understanding of the complex progression of Osteoarthritis and elucidating new perspectives on causes, treatments, and possible preventions.

CompBioMed: 'Virtual You' book launch and 'The Next Pandemic' IMAX screening

Our CompBioMed project is holding a book launch and film screening at the Science Museum, London on 29 March 2023 (please note: this event is sold out).

Insigneo Director of Operations, Dr Andrew Narracott from the Department of Infection, Immunity and Cardiovascular Disease and Insigneo Fellow Dr Alberto Marzo from the Department of Mechanical Engineering have both contributed to the content of the book and film described below.

Scientists are now building “digital twins” of patients—which not only look like them but behave like them—to make medicine truly predictive and personalised for the first time. 

The emerging technology of digital twins is explored in 'Virtual You: How Building Your Digital Twin Will Revolutionize Medicine and Change Your Life', the third book by Science Museum Science Director Roger Highfield and Professor Peter Coveney of University College London. In this very special event to launch the book, the authors are joined by a panel of experts working at the frontiers of this new science. 

The event also features the launch of a new film, created by the Barcelona Supercomputing Centre, showing the potential of digital twins in fighting the next pandemic, to celebrate the museum’s COVID vaccine exhibition, Injecting Hope. 

'Virtual You: How Building Your Digital Twin Will Revolutionize Medicine and Change Your Life' by Peter Coveney and Roger Highfield is published by Princeton University Press on March 28.

Last call for registrations: BIOREME: A Study Group in Mathematical Modelling - Developing the next
generation of lung function measurement

We’re looking for researchers at all career stages from PhD students through to academic staff with a range of general expertise in areas including applied maths, computational modelling, statistics, data science, physics and engineering! 

You are invited to take part in a hands-on workshop that offers a great opportunity to apply your skills to a new area, get some experience working with an industrial partner on a real-world problem, and potentially discover exciting new research collaborations.

As part of the EPSRC Network+ BIOREME we are jointly hosting a Mathematical Study Group in Respiratory Medicine in Sheffield on 17--20 April. The theme is on monitoring and measuring lung conditions, however the challenges, which are posed by industry, will require people with a range of general expertise in areas including applied maths, computational modelling, statistics, data science, physics and engineering.  Descriptions of the challenges in the programme so far are given at the bottom of this e-mail.  

Registration is free and we also have a limited number of travel bursaries available for attendees, to help towards the cost of attending, which you can apply for as part of the registration process.

You can find out more details or sign-up directly here: https://www.bioreme.net/events-all/studygroup. Plus, if you have any colleagues who might be interested, please do pass it on.

Challenge 1: Audio-phenotyping of patients using mobile-phone recordings

Background: Eupnoos are an audio-phenotyping company that use cloud-based software architecture to enable remote monitoring of lung function via a mobile app (https://www.eupnoos.com/). The data can then be sent to clinical practitioners to enable decision making across health care interfaces. Using this software, patients can upload audio recordings they have taken on their mobile phone of them undertaking a particular breathing manoeuvre for analysis. The goal is to democratise the availability of lung function diagnostic testing and thus address health inequalities and disparities by making use of the ubiquity of smartphone technology.
The problem: Eupnoos is using spectral analysis to identify features from the data that exhibit statistical associations with lung function. The challenge is to develop feature agnostic methods to measure and validate lung function using this spectral audio data.

Data available: Audio recordings of forced expirations taken via mobile phone coupled with ground truth gold standard spirometric data.

Relevant expertise: This challenge will be particularly relevant to those with expertise in data science/statistical modelling/machine learning and working with audio data as well as requiring insights regarding airway and fluid mechanics and lung function measurement.

Challenge 2: Remote monitoring to predict and prevent COPD exacerbations
Background: Global Access Diagnostics (GADx) have developed a remote patient monitoring platform ‘Headstart’ (https://www.globalaccessdx.com/respiratory-diseases) for measuring biomarkers in urine from lateral flow devices. Its purpose is to monitor COPD patients between clinical visits for biomarkers of that indicate increased risk of an exacerbation in the near future, enabling early intervention. The inflammatory responses preceding a COPD exacerbation are heterogeneous and complex, therefore the challenge is for Headstart to identify early or confirm the first signs of exacerbation with sufficient reliability and clarity for the patient to know when to seek medical attention or not. Early intervention on COPD exacerbations can avoid further damage to the patient’s lungs, and so overall will result in reduced hospitalisations, Improved clinical and economic outcomes.

The problem: A machine learning algorithm has been developed to monitor urine biomarkers but requires further development, potentially including some mechanistic modelling. The problem is to make the algorithm more generalisable, so that a patient-specific `baseline’ can be calculated and a multitude of elevated biomarker signals can be interpreted correctly.

Data available: Over 25,000 daily measurements are available for 5 biomarkers collected from 89 patients over a period of approximately 6 months.

Relevant expertise: Participants will require knowledge of techniques in Data Science and Machine Learning. Anybody with expertise in inflammatory markers and pathways would also be able to make valuable contributions to this challenge.

Challenge 3: Accurate inference of airway mechanics from impulse oscillometry data
Background: Arete have developed a respiratory medical device, “The Respicorder" (http://www.aretemedtech.com/) that combines several measurements of lung function into one portable device. One of these measurements uses impulse oscillometry (IOS), whereby a small puff of air is quickly oscillated into and out of the mouth during normal breathing. The resulting pressure and flow rate changes can be used to the impedance of the airways, which in turn can provide proxy measurements for (patho)physiological changes in the small airways.

The problem: Disentangling the signal so that airway mechanics can be measured accurately (and device properties/environmental effects can be accounted for) remains an open challenge that has the potential to significantly improve the device and its translation to clinic.

Data available: Participants will have temporary access to IOS measurements collected by Arete for the purposes of this workshop

Relevant expertise: This challenge will likely require a combination of expertise in working with medical data, spectral analysis, as well as fluid/solid mechanics and airway physiology.

2nd international AI Neuro Summer School 

We would like to invite you to the 2nd international AI Neuro Summer School 2023 on Neuroimaging, NeuroScience, Neuroncology.

Among other topics, we will give more attention this year to AI for temporal patterns, and Glioblastoma. A tutorial from FDA on how to move from research to FDA-approved startups will also be given.

25 - 29 June 2023, Aktea Hotel, Lipari, Italy

https://www.neuro.sano.science/

The event is related to a special issue of Frontiers In Neuroimaging - you will be able to brainstorm, network and discuss with editors for papers in this special issue:

https://www.frontiersin.org/research-topics/53517/brain-time-series-signals-and-machine-learning-from-spike-trains-to-dynamical-functional-connectivity

We will have two sessions where participants can brainstorm and potentially prepare papers for the special issue.

Scope:

The school provides lectures and workshops about Neuroimaging, NeuroScience, Neuroncology for MSc/PhD students, MD, post-doctoral researchers, and faculty/company members. Program comprises lectures and workshops with:

• Gael Varoquaux (INRIA, Ecole normale superieure, Scikit-learn)
• Paul Thompson (UCLA, NIGMA consortium)
• Luiz Pessoa (Maryland University)
• Stephanie Forkel (Donders Institute)
• Bozena Kaminska (Nencki Institute)
• Giovanni Petri (CENTAI)
• Daniel Margulies (CNRS)
• Norbert Galldiks (Koeln University Hospital, Juelich Centrum)
• Aly Abayazeed (Neosoma)
• Lee Alex Donald Cooper (Northwestern University, Feinberg School of Medicine)
• Susan Short (School of Medicine Leeds)
• Andras Jakab (Children university hospital of Zurich)

Organizing committee:

• Alessandro Crimi, Brain&More lab of Sano Science (Krakow, Poland)
• Spyridon Bakas, Pereleman School of Medicine of University of Pennsylvania (Philadelphia, USA)

We invite you to lectures by well-known worldwide speakers, workshops, and tutorials. Climbing the sulphuric crater of a volcano is planned, as well as a boat trip to Panarea lagoons and around the active volcano of Stromboli. The brainstorming sessions are planned at the Greek necropolis. We currently limit to 70 participants, with no particular pre-selection (First-Registered-First-Served). Further cases will be considered carefully according to the CV.

See you in Lipari.

CompBioMed Conference 2023

We are delighted to announce that the registration and abstract submission for the third iteration of the CompBioMed Conference, CBMC23, is now officially open. The conference takes place on 12-14 September 2023 at the Science Congress Center Munich, Garching, Germany. The dedicated website for the conference can be found here:

www.compbiomed-conference.org

CompBioMed Conference 2023 will address all aspects of the rapidly burgeoning domain of computational biomedicine, from genome through organ to whole human and population levels, embracing data driven, mechanistic modelling and simulation, machine learning and combinations thereof. We welcome contributions from academic, clinical and industrial participants alike.

We have 4 confirmed plenary speakers, 13 symposia, and an International Organising Committee of renowned experts. The confirmed plenary speakers are:

• Amanda Randles, Duke University
• Richard Law, Exscientia
• Gunnar Cedersund, Linköping University
• Ines Thiele, National University of Ireland

The 13 symposia are:

• Digital Twins and Personalised Medicine
• Surrogate Modelling
• Imaging & Visualisation
• Molecular Medicine
• Ensembles of Workflows: Bringing the VH to life
• In Silico Themed Session
• Organ Modelling and Simulation
• Towards the path to Exascale Computing
• From desktop to HPC and beyond in the clinic
• Immunology
• Artificial Intelligence / Machine Learning / Quantum Computing
• Innovation in Modern Biotechnology through M&S
• Education, Training & Public Awareness

Register before 31st July 2023 for the early bird discount.

The deadline for abstract submission is 31st May 2023.

There will also be a social event on the evening of 13 September 2023 at the oldest brewery in the world, the Bräustüberl Weihenstephan, including a guided tour of the brewery, beer tasting, and a conference dinner.

Best regards,
Peter Coveney

Spinner Fellow Dr Jose Rodrigues 

Congratulations to Spinner Fellow and Insigneo member Dr Jose Rodrigues from the Department of Materials Science and Engineering on passing his viva.

Jose’s project focused on the development of hydroxyapatite-based osteoinductive coatings for spinal fusion cages, in a collaboration between the University of Sheffield and Finceramica (Faenza, Italy).

Annabelle Fricker wins best oral presentation at 24th annual BiTEG conference

Annabelle Fricker, a PhD student from the Department of Materials Science and Engineering who is supervised by Insigneo Research Director for Biomaterials, Biomechanics and Cell Engineering, Professor Ipsita Roy, won the prize for the best oral presentation at the 24th annual BiTEG conference, December 2022.

The White Rose Biomaterials and Tissue Engineering Group (BiTEG) was originally set up by the Universities of Sheffield, York, and Leeds and has now expanded to include researchers from across the region. The meeting is held annually, aiming to showcase the work of scientists - in particular early career researchers - and to promote collaboration, the sharing of ideas, and networking within this group.

Professor Ipsita Roy invited for talk at the House of Commons

Professor Ipsita Roy, Insigneo Research Director for Biomaterials, Biomechanics and Cell Engineering, has been invited to breakfast meetings with MPs/Peers and business representatives at the House of Commons. The event is organised by Industry and Parliament Trust on biomaterials and how they can substitute fossil fuel based materials, reduce waste, be produced in the UK from biobased sources including biowastes. This event will be taking place on Tuesday 18 April 2023.

Professor Ipsita Roy grant awards

Congratulations to Professor Ipsita Roy, Insigneo Research Director for Biomaterials, Biomechanics and Cell Engineering, on the following recent grant awards:

• EPSRC: Sustainable manufacture of biodegradable film packaging from recalcitrant waste streams (EP/X021440/1), Total Amount: £760,252.63  PI: Jagroop Pandal; CoI: Ipsita Roy
• BBSRC ICURe GRANT, Innovate UK, ICURe Innovation to Commercialisation, PHAsT: Biocompatible, Tunable, and Sustainable Innovative Materials for Biomedical Applications; Total Amount: £25,000, Entrepreneurial Lead: Andrea Mele; PI: Ipsita Roy
• Heart Research UK grant: A melt Electrospun Cardiac Patch for Regeneration of the Myocardium following Myocardial Infarction using Natural and Sustainable Polymers; Total Amount: £111,500, PI: Ipsita Roy

• EPSRC Impact Accelerator Award: Production of Polyhydroxyalkanoates for Biomedical applications: Upstream Scale-up and Downstream Optimisation and Scale-up.  This fund allows Ipsita to scale up production to a 100L bioreactor and perform a complete process run through with analysis; Total Amount: £47,785

New members

We would like to introduce some of our new members who have joined the Insigneo Institute recently:

Since February 2022, Dr Ahmad has been working as Research Associate in Biophotonics, in the Department of Electrical and Electronic Engineering at the University of Sheffield to develop photonic-based skin imaging tools. At the University of Sheffield, he is trying to establish optical coherence tomography (OCT) as an ideal tool to quantify and assess the anti-inflammatory effects of topical and systemic Atopic Dermatitis treatments.

Dr Ahmad earned his bachelor and master’s degree in electrical engineering from University of the Punjab, Lahore, Pakistan, and Universiti Teknologi Petronas (UTP), Malaysia in the respective years 2010 and 2012.

During his stay at UTP, he was engaged at mission-oriented research Centre for Intelligent Signal and Imaging Research (CISIR), where he gained experience in signal, image processing and learning for their applications in visual surveillance and medical imaging. In the following year, he joined University Engineering and Technology Lahore, Pakistan as a Lecturer in EE department where he taught several undergraduate courses up-till September 2014.

From October 2014 to October 2018, Dr Ahmad worked towards his Doctor of Philosophy in EE (with majors in Biophotonics) at University of Nottingham, UK. His research topic was aimed to develop a new imaging technique based on light and ultrasound to improve the imaging quality for small animal imaging used in preclinical research (strategic grant funded by the National Centre for the Replacement, Refinement & Reduction of Animal in Research) which could subsequently provide more accurate data and to reduce the number of animals required in experiments. From March 2019 – June 2020, he was engaged as a Research Associate in the same research group to develop a novel nanoscale magnetic resonance imaging and sensing platform that uses nitrogen vacancy centres in a diamond crystal for detection and quantification of metabolites in biofluids for the early diagnosis of cancer (funded by the Cancer Research UK).

From January 2021 - December 2021, Dr Ahmad joined the Diamond Group, Physics Department at the University of Warwick as Research Fellow where he was tasked to develop a novel RF sensing technology based on diamond.

He is also a senior registrar in Clinical Radiology at Sheffield Teaching Hospital with a specialist interest in cardiothoracic imaging. He has received funding from the National Institute for Health Research (NIHR) and was previously an Academic Clinical Fellow and Academic Foundation Trainee in Sheffield.

His work focuses on clinical translation of artificial intelligence approaches in medical imaging. He is a member of the Royal College of Radiologist AI Working Group and is the AI lead for the national RADIANT (Radiology Academic Network for Trainees) group. Krit has spent time at the Stanford University Center for Artificial Intelligence in Medicine & Imaging (AIMI) and recently won the Radiological Society of North America (RSNA) trainee prize for his work on characterising the impact of lung disease on CT in pulmonary hypertension.

Contact details

Professor Christine Le Maitre is a Professor of Musculoskeletal Cell Biology and Tissue Regeneration in the Department of Oncology and Metabolism, in the Medical School where she co-leads the Osteoarthritis and Disc Research Group in the Bone and Joint theme, she is also a Principal Investigator at the Insigneo Institute for in silico Medicine, at the University of Sheffield. Professor Le Maitre is also a member of the Integrated Musculo-Skeletal Biomechanics research group, with a particular interest in mechanobiology within musculoskeletal health and disease. She is also a member of the Society of Back Pain Research, AO spine, the British Orthopedic Research Society, Orthopaedic Research UK, the Orthopaedic Research Society and the associated spine section, Tissue Cell Engineering Society, Tissue, Engineering and Regenerative Medicine International Society and is current Chair lady for the UK based Charity DISCs. 

Her research focuses on investigating the pathogenesis of musculoskeletal disorders and novel therapies targeting pathogenesis and regenerative approaches. Working collaboratively nationally and internationally with clinicians, scientists, engineers, industrial partners and patients to pursue an improved understanding of musculoskeletal conditions and utilise this knowledge to develop the next generation of therapies. Her research to date has led to 2 patents, >100 publications with >8,600 citations a current H index of 43 and i10 index 78, with over £22 million in research grant income and £10 million in doctoral training grant income to date. She has been invited to present her research at several national and international meetings.

She is passionate to support the next generation of scientists and previously led postgraduate research student provision in her previous roles, she has supervised 16 PhD students to completion and currently supervises 16 further doctoral students, she has also received several accolades for her doctoral supervision and mentoring roles.  

Contact details

In the Active Touch Lab, I am helping people walk again by modelling the tactile responses of the foot sole aiming at real-time feedback prosthetics! In addition to that, I am a member of Insigneo and a data scientist for the AMRC at the University of Sheffield. My research interests include general intelligence, network neuroscience and information processing in the somatosensory cortex.

Contact information: 

University website: https://www.sheffield.ac.uk/psychology/postgraduate/international
twitter: DrRodrigoKazu 
github: rodrigokazu 
gscholar: 9L_gpmUAAAAJ 
orcid: 0000-0002-3511-6439

Zeyu is currently a first-year PhD student in the Department of Automatic Control and Systems Engineering, supervised by Professor Sanja Dogramadzi and Dr Jonathan Aitken.

Zeyu's PhD project focuses on surgical robots, working on developing digital twins for colonoscopy procedures to enhance trainees' learning curve and ultimately reduce patients' discomfort. In his MSc dissertation project, he conducted research on mapping hand-finger motion into manipulation of a Castroviejo needle holder towards intelligent cardiac surgeries.

Do you have news to share with us?

If you would like us to include information and/or events to this newsletter please email: news@insigneo.org (the newsletter will be issued during the 2nd week of the month, excluding January and August). 

Insigneo members - please let us know when your students are graduating so that we can celebrate their success!

Please ensure that you submit items for inclusion with a minimum of one week's notice.

Guest Lectures, Conferences & Seminars

We will share a link to our Online Training Opportunities document here each month.

Insigneo events

23 March
Insigneo seminar: Mechanobiology of cellular senescence and ageing

23 May
Insigneo Research Theme Workshop: Healthcare date/AI

14 July 2023
Insigneo Showcase

A selection of Insigneo seminar recordings are available to view on our YouTube channel.

Other events

 23 & 30 March
HDR UK webinar: Bringing Medical Devices to Market

24 March
12th Annual Mellanby Centre Research Day, Sheffield

27 March
BIOMAT-Sheffield, Sir Frederick Mapping Building, Sheffield

30 March
Medical Device Innovation Consortium Webinar: Enabling Medical Device Innovation with Computational Modeling & Simulation (CM&S)

13 - 14 April
Bone Research Society (BRS) Annual Meeting, Liverpool

14 April
N8 CIR: Python GPU Programming Workshop - part 2

17 - 20 April
BIOREME: A Study Group in Mathematical Modelling - Developing the next
generation of lung function measurement, Sheffield - Registration deadline 24/03/23

Dr Clare Lankester (Sheffield University's Medical Device Regulatory Expert in Residence) has arranged two regulatory based workshops for staff within the IAA consortium (TUoS, STH, SCH, SHU). The workshops will be facilitated by Clare and delivered by expert external speakers. 

Thursday 20 April 2023, 09:45-12:00
Quality management for medical technology development projects.
Arts Tower, Lecture Theatre 8.

A session considering the principles of quality management within medical technology development programmes and how they can be implemented in early stage projects.

More details and sign up link: https://forms.gle/py4JKCUbUYn6JgHF9

Wednesday 14 June 2023, 09:30-12:00
A Practical Introduction to Healthcare Standards.
Alfred Denny building, Conference room.

“A Practical Introduction to Standards”  is an interactive workshop. The session first provides an overview of the various types of standards, then focuses on several commonly used standards in healthcare (ISO 14971,ISO 24971 and BS 62366). The aim of the session is to introduce standards in an engaging and informative way, to understand that they play a vital role in daily life and ensure patient safety.

The workshop will be delivered by Emma Glass, University Partnerships Manager at BSI. 

More details and sign up link: https://forms.gle/wJB5Kx4t356vWCDg8

25 - 29 June
Sano: AI Neuro Summer School

12 - 14 September
CompBioMed Conference 2023 - Save the date!

14 - 15 September
BioMedEng23, Swansea 

For a full list of upcoming events visit: https://www.sheffield.ac.uk/insigneo/overview/events

Vacancies

EPSRC Doctoral Training Partnership: A computational biomechanical model to optimise personalised treatments for spine metastases (closing date: 24 March 2023)

The Sheffield Children’s Hospital/Insigneo Institute for In Silico Medicine PhD Programme in Digital Health: Digital Healthcare at Home (closing date: 14 April 2023)

The Sheffield Children’s Hospital/Insigneo Institute for In Silico Medicine PhD Programme in Digital Health: Digital Wards (closing date: 14 April 2023)

The Sheffield Children’s Hospital/Insigneo Institute for In Silico Medicine PhD Programme in Digital Health: Advanced Healthcare Communication  (closing date: 14 April 2023)

The Sheffield Children’s Hospital/Insigneo Institute for In Silico Medicine PhD Programme in Digital Health: Digital Twins (closing date: 14 April 2023)

PhD opportunity: MRI with Motion-resolved Image Reconstruction for Imaging the Breathing Lung (closing date: 28 April 2023)

Publications

A chemo-mechano-biological modeling framework for cartilage evolving in health, disease, injury, and treatment (Computer Methods and Programs in Biomedicine) M. M. Rahman, P. N. Watton, C. P. Neu, D. M. Pierce 

Data-Driven and Compliance-Based Fault-Tolerance for a Flexible and Extendable Robotic Implant Coupled to a Growing Tissue (IEEE Robotics and Automation Letters) M. Pontin, D. D. Damian

Organ-on-a-Chip and Microfluidic Platforms for Oncology in the UK (Cancers) J. Nolan, O. M. T. Pearce, H. R. C. Screen, M. M. Knight, S.W. Verbruggen

Accuracy of in vivo microCT imaging in assessing the microstructural properties of the mouse tibia subchondral bone (Frontiers in Endocrinology) S. Oliviero, E. Millard, Z. Chen, A. Rayson, B.C. Roberts, H.M.S. Ismail, I. Bellantuono, E. Dall’Ara

Implementable Deep Learning for Multi-sequence Proton MRI Lung Segmentation: A Multi-center, Multi-vendor, and Multi-disease Study (Journal of Magnetic Resonance Imaging) J. R. Astley, A. M. Biancardi , P. J. C. Hughes, H. Marshall, G. J. Collier, H.-F. Chan, L. C. Saunders, L. J. Smith, M. L. Brook, R. Thompson, S. Rowland-Jones, S. Skeoch, S. M. Bianchi, M. Q. Hatton, N. M. Rahman, L.-P. Ho, C. E. Brightling, L. V. Wain, A. Singapuri, R. A. Evans, A. J. Moss, G. P. McCann, S. Neubauer, B. Raman, C-MORE/PHOSP-COVID Collaborative Group, J. M. Wild, B. A. Tahir 

Quantifying Myocardial Blood Flow and Resistance Using 4D-Flow Cardiac Magnetic Resonance Imaging (Cardiology Research and Practice) R. C. Gosling, G. Williams, A. Al Baraikan, S. Alabed, E. Levelt, A. Chowdhary, P. P. Swoboda, I. Halliday, D. R. Hose, J.  P. Gunn, J. P. Greenwood, S. Plein, A. J. Swift, J. M. Wild, P. Garg, P.D. Morris

Effect of remote ischemic conditioning on heart rate responses to walking in people with multiple sclerosis (Annals of Indian Academy of Neurology) N. Chung, 
K. P. S. Nair, C. Chotiyarnwong, K. Baster, E. Buckley, C. Mazzà, A. Ali, S. Baig

Computational platform for doctor–artificial intelligence cooperation in pulmonary arterial hypertension prognostication: a pilot study (ERJ Open Research) V. O. Kheyfets, A. J Sweatt, M. Gomberg-Maitland, D. D. Ivy, R. Condliffe, D. G Kiely, A. Lawrie, B. A. Maron, R. T. Zamanian, K. R. Stenmark 

Imaging gas-exchange lung function and brain tissue uptake of hyperpolarized 129Xe using sampling density-weighted MRSI (Magnetic Resonance in Medicine) G. J. Collier, R. F. Schulte, M. Rao, G. Norquay, J. Ball, J. M. Wild

Acceptability of wearable devices for measuring mobility remotely: Observations from the Mobilise-D technical validation study (Digital Health) A. Keogh, L. Alcock, P. Brown, E. Buckley, M. Brozgol, E. Gazit, C. Hansen, K. Scott, L. Schwickert, C. Becker, J. M. Hausdorff, W. Maetzler, L. Rochester, B. Sharrack, I. Vogiatzis, A. Yarnall, C. Mazzà, B. Caulfield