Explore practical insights from researchers and experts using smartphones, wearables and digital health data to improve health research.

Webinar 16 - Using digital health data to support early diagnosis of cardiovascular disease

Speaker 1 Bio
Professor Allan Lawrie leads translational research to improve the early diagnosis and management of pulmonary hypertension, combining molecular biology, digital health, and real‑world patient data to deliver scalable clinical impact. He completed his PhD in Cardiovascular Science at the University of Sheffield in 2002, focusing on vascular gene delivery under the supervision of Professor Chris Newman. He then undertook postdoctoral training with Professor Marlene Rabinovitch at Stanford University, where he developed a lasting interest in the molecular mechanisms of pulmonary hypertension. Returning to Sheffield in 2004, Allan established a translational pulmonary hypertension research programme. He secured fellowships from the Medical Research Council and British Heart Foundation, investigating the osteoprotegerin (OPG)/TRAIL pathway, and led the development of a novel therapeutic antibody targeting OPG. He also co-founded PH Therapeutics Ltd and co-directed the Donald Heath Centre for Pulmonary Hypertension Research. In 2022, Allan joined the National Heart and Lung Institute at Imperial College London. His research focuses on understanding the drivers of pulmonary hypertension and translating discoveries into new therapies, biomarkers, and data-driven approaches to improve patient outcomes. Allan leads the British Heart Foundation-funded My Heart Counts – Pulmonary Hypertension programme, which uses smartphone and wearable data linked to healthcare records to support earlier diagnosis and better management of pulmonary hypertension. The programme combines digital health data, artificial intelligence, and clinical expertise to identify early warning signs, understand risk factors, and develop scalable approaches to improving patient care.
Time
Wednesday 16 September 2026, 1pm-2pm BST
Overview
In this webinar, Professor Allan Lawrie explored how digital health data can support earlier diagnosis of rare diseases, specifically in the field of rare cardiovascular disease. Beginning with the use of electronic health records to identify people at higher risk, his research has expanded to include information collected from smartphones and wearable devices, providing new insights into people's health in everyday life. Drawing on collaborations with Stanford University through the My Heart Counts app, Allan discussed the potential of combining continuous wearable data with healthcare records. He shared key lessons learned from model development and validation, including why promising models may fail to generalise across different populations and how differences in control groups can influence performance. Allan also presented current work being conducted in parallel in the United States and the United Kingdom, including the development of a cross-platform digital health research infrastructure that integrates data from Android and iOS devices, as well as wearable technologies such as Oura, Fitbit, and Withings. Through the inclusion of ECG data, raw sensor data and general PPG, this research aims to develop some generalizable, translatable models not just for early detection but also remote monitoring. Finally, this session also explored the next phase of the platform: using large language models and behavioural science to deliver personalised, adaptive health interventions. By combining prompt engineering, reinforcement learning, and real-time behavioural feedback, the project aims to optimise 'just-in-time' digital nudges that encourage healthier behaviours based on an individual's characteristics and responses.

Webinar 15 - Consumer wearables to support physical activity and health during the transition to parenthood

Speaker 1
Kathryn Hesketh
Speaker 1 Bio
Kathryn is a UKRI Future Leaders Fellow in Behavioural Epidemiology at UCL, leading a research programme centred on supporting movement behaviours across the transition to parenthood and during early childhood. Her expertise lies in understanding how physical activity, play, and sleep shape health and wellbeing in families with young children, working across disciplinary boundaries to determine how these behaviours influence both parental and child health outcomes.
Time
Wednesday 8 July, 2026, 1pm-2pm BST
Overview
Health Research from Home is delighted to announce our speaker for our next webinar is Dr Kathryn Hesketh. Driven by the belief that movement throughout the life course is fundamental to human health, Kathryn will present her research using consumer wearable devices which aims to better understand patterns of physical activity during pregnancy and the postpartum period. She will explore how these data can provide new insights into maternal and child health and discuss how wearable technologies might be leveraged to support healthier behaviours, inform interventions, and improve health outcomes for parents and their young children.

Webinar 13 - PROGRESS: Lessons from an end-to-end robust digital clinical trial
Speaker 1
Ed Ramos, Co-founder of Digital Trials Center, Scripps Research and COO/CSO and Co-founder, GSD Health Research
Speaker 1 Bio
Ed Ramos, PhD, is a leader in digital clinical trials and real-world evidence generation with nearly 20 years of experience across academia, government, and industry. As Co-founder of the Scripps Research Digital Trials Center, he oversees digital clinical trial strategy and implementation for remote and hybrid studies. Ed also serves as COO and CSO of GSD Health Research, supporting technology-enabled clinical research. Previously at the NIH, he contributed to major precision medicine and genomics initiatives, including the All of Us Research Program. He is Principal Investigator of the PROGRESS metabolic study, with expertise in integrating multimodal data to advance large-scale, participant-driven trials.
Speaker 2
Katie Baca-Motes (CEO & Co-Founder of GSD Health Research & Co-founder of the Scripps Research Digital Trials Center)
Speaker 2 Bio
Katie Baca-Motes is a leader in digital clinical trials and decentralized research, with over ten years’ experience in designing and running large-scale, technology-enabled studies. As Co-founder of the Scripps Research Digital Trials Center, she has led pioneering remote studies using real-world data and participant-driven models.
She is CEO of GSD Health Research, collaborating with industry and academic partners to make clinical research more accessible and scalable. Her work centers on real-world data collection and participant-centric study design.
Katie has contributed to national research programs, including All of Us, and works across academia, industry, and healthcare to foster more inclusive clinical research.
Time
Wednesday 18 March, 2026, 2pm–3pm GMT
Overview
Join Health Research from Home for our next webinar where we will hear from Ed Ramos (Co-founder, Digital Trials Center, Scripps Research and COO/CSO and Co-founder, GSD Health Research) and Katie Baca-Motes (CEO & Co-Founder, GSD Health Research & Co-founder of the Scripps Research Digital Trials Center) as they discuss their recently published remote trial in the metabolic health space, PROGRESS.
This webinar will highlight findings from the metabolic health study PROGRESS, a large-scale, fully remote, multimodal clinical study conducted at the Scripps Research Digital Trials Center, with a focus on study design, execution, and key learnings.
Ed and Katie will walk through how diverse data streams including continuous glucose monitoring, wearable data, nutrition, biospecimens, and EHR data were integrated within a longitudinal, participant-driven study design. Particular emphasis will be placed on how behavioural strategies, including incentives, nudges, and return of data, were incorporated to support engagement over time.
Beyond the study results, they will share a practical perspective on what it takes to operationalise complex digital trials at scale, including what worked well, where challenges emerged, and what they would approach differently in future studies. The goal is to provide a candid, experience-based perspective on what it takes to successfully design and execute these types of studies.

Webinar 12 - Advancing cardiovascular monitoring: from radar sensing to wearable emergency detection

Speaker 1
Jake Sunshine , Associate Professor at University of Washington / Research Scientist at Google / Past Founder and Chief Medical Officer of Sound Life Sciences (acquired by Google)
Speaker 1 Bio
Jake is a physician and research scientist at the University of Washington and Google.
His research is focused on technology-based translational research, usually at the intersection of computer science and public health. It currently involves finding ways to use commodity smart devices to help lessen the burden of public health challenges. Current project areas include early detection of acute opioid overdose, out-of-hospital cardiac arrest and incipient respiratory infections. The common thread running through this work is detection and anticipation of aberrant physiologic signatures for which there are evidence-based, time-sensitive interventions.
Speaker 2
Ela Gruzewska , Senior Software Engineer at Google
Speaker 2 Bio
Ela is a Senior Software Engineer at Google Research holding an MSc in Computer Science. She brings over 15 years of software engineering experience to her work, recently specializing in Machine Learning.
Her recent research focuses on the application of ML within the health domain, including longitudinal electronic health records, medical imaging, and the use of mobile sensors for physiological monitoring.
Time
Wednesday 14 January, 2026, 3pm – 4pm GMT
Overview
In this webinar, Ela Gruzewska (Google) and Jake Sunshine (University of Washington and Google), explored new advances in using consumer devices aimed at improved cardiovascular monitoring. Their talks ranged from heart-rate sensing using radar to detecting cardiac arrest using commodity sensors and wearables.
Jake Sunshine explored how passive sensing on commodity devices can be employed to recognise life-threatening cardiac and breathing emergencies.
He discussed:
  • Research and development of systems to detect cardiopulmonary emergencies with a focus on watch-based detection of cardiac arrest.

  • The challenges involved in constructing these systems as well as lessons learned in real world deployment.

Ela Gruzewska explained how Google’s research demonstrated transfer learning between consumer-grade radar modalities, specifically from Frequency-Modulated Continuous-Wave (FMCW) to Ultra-Wideband (UWB) radar, for heart-rate monitoring. Drawing on this work, Ela highlighted how transfer learning can reduce the need for new, device-specific data collection, accelerating research and development in the field.

Webinar 11 - Co-produced methods for longitudinal monitoring of sleep behaviours and brain activity with children and young people

Speaker 1
>Matt Jones , Professor of Neuroscience, The University of Bristol
Speaker 1 Bio
Matt trained as a neuroscientist at the University of Cambridge, the UK National Institute for Medical Research and the Massachusetts Institute of Technology before establishing his research team at the University of Bristol. That team strives to understand how distributed neural networks spanning the hippocampus, striatum, and frontal cortex process and store information, and how this processing becomes impaired in neuropsychiatric disorders. To do this, we record and modulate brain activity (with Neuropixels in rodents and EEG in humans), then apply computational modelling and analyses to try and decode the terabytes. Current projects focus on analyses of sleep’s contributions to cognition, and the diagnostic and translational utility of sleep neurophysiology in children and young people at high risk of psychiatric disorders.
Speaker 2
Lorna Caddick , Research Assistant, The University of Edinburgh
Speaker 2 Bio
Lorna Caddick, is a Research Assistant at the University of Edinburgh, with experience in radar sensing for sleep measurement. She is interested in longitudinal links between sleep timing, circadian rhythms and mental health, helping to lead the data collection and co-production side of the Ambient Teens Sleep Study. Her passions include co-production and engaging the younger generation in research.
Time
Wednesday 5 November, 2025 1pm- 2pm GMT
Overview
Matt Jones introduced The Sleep Detectives Project, a Wellcome Trust-funded research project exploring sleep, cognition and mental health in 6 to 18-year-old children and young people who are at genetically high risk of psychotic disorders. The project focuses on those living with copy number variants (CNVs) that significantly increase the likelihood of conditions such as schizophrenia – reaching as high as 40 in 100 by adolescence. He discussed how residentials workshops and pilot protocols helped to lay the framework for the project, shaping both the methods and technologies used. Matt also highlighted resources such as preprints and protocols available on the Open Science Framework, while reflecting on the ethical and methodological considerations of working with children, including information governance and best practice in PPIE following NIHR guidance.
Lorna Caddick, a Research Assistant at the University of Edinburgh, then discussed the Ambient Teens Sleep Study, an MRC-funded project that used contactless radar-based sleep sensors compared against wearables. This study used contactless sleep sensors drawing on radar sensing to record data from 48 adolescents aged 8-18 years over four weeks to assess feasibility and acceptability of these devices to be used in future work to better understand the relationship between sleep and the impact it has on health before, during and after puberty. Lorna will outline ways radar sensors can be used as an alternative where wearables are less suitable - for example, in people with Alzheimer’s or dementia, neurodivergent participants experiencing sensory sensitivities, or those with skin conditions. She also reflected on the importance of coproduction, especially when sensors are less known about, and, like Matt, also shared experiences of navigating privacy issues and sustaining young people’s engagement throughout the study.

Webinar 10 - Criminals don’t care…calling it cyber just makes it worse
Speaker 1
Daniel Dresner , Professor of Cyber Security, The University of Manchester
Speaker 1 Bio
Daniel is the first Professor of Cyber Security at the University of Manchester following 22 years with The National Computing Centre. He applies a diverse, community-based cyber security approach developing standards, championing SMEs’ cyber security for which he co-founded IASME, and works to find sociotechnical balance between people and technology.
Daniel's Manchester cyber ecosystem activity furthers cyber innovation and growth at DiSH – Digital Security Hub – and steering cyber outreach from the University’s Centre for Digital Trust and Society. Daniel lectures on risk and cyber defence to Chevening cohorts from India and Western Balkans, and revived the cybernetics thought-leadership Ratio Club. Daniel was voted a top 20 cyber security influencer worldwide 2018-2021 and Security Serious Awards Best Educator 2022.
Speaker 2
David Willis , cyber security expert, NHS
Speaker 2 Bio
David is a certified cyber security veteran with four decades of experience. Currently he works in the NHS National Cyber Improvement program, and has a wealth of experience working in health and social care, having previously worked in Chief Information Security Officer roles across the NHS in the North West of England.
He is a pragmatic digital advocate who passionately believes that the appropriate sharing of information will improve the way we deliver care whilst protecting the privacy of the individual.
Time
Wednesday 3 September, 2025, 1pm-2pm BST
Overview
Smartphones and wearables are just the tip of the iceberg in today’s growing digital health environment - an environment where health data is increasingly easy to obtain. But where is this data coming from? How comfortable are you that it is securely stored on systems and in devices? And what happens if it gets compromised? As a researcher, this has real consequences for your work, and yet it can be overwhelming to even start thinking of how to strengthen your cyber security.
In this talk, Health Research from Home partnered with Danny Dresner and David Willis from SPRITE+, helping attendees understand how to prevent these risks. Together, gave attendees an increased awareness of patient-supportive secure architecture and cyber essentials to prevent risk, instilling confidence with study partners. They identified who you can work with to ensure patient data is secure and the key questions you should be asking.
Daniel is The University of Manchester’s first Professor of Cyber Security, following 22 years at the National Computing Centre. He champions a community-based approach to cyber security, co-founding IASME to support SMEs and advocating for sociotechnical balance. He drives cyber innovation through DiSH and the Centre for Digital Trust and Society, and lectures on risk and defence to international Chevening cohorts. Daniel also revived the Ratio Club and has been recognised as a top 20 global cyber security influencer (2018–2021) and Security Serious Awards Best Educator (2022).
David is a certified cyber security veteran with four decades of experience. Currently he works in the NHS National Cyber Improvement program, and has a wealth of experience working in health and social care, having previously worked in Chief Information Security Officer roles across the NHS in the North West of England.
Recording
Watch on YouTube

Webinar 9 - Smart Health - An infrastructure for collecting and linking smartphone and wearable data for research

Speaker 1
Tim Chico, Professor of Cardiovascular Medicine, University of Sheffield and Honorary Consultant Cardiologist
Speaker 1 Bio
Tim is Professor of Cardiovascular Medicine at the University of Sheffield and a consultant Cardiologist at Sheffield Teaching Hospitals NHS Foundation Trust.
His national roles include Associate Director of the British Heart Foundation Data Science Centre, where he leads the Smartphone and Wearable data theme. Tim's career has spanned academia and industry across genetics, vascular biology, drug discovery and health data science. He jointly leads South Yorkshire's specialist service for pregnant women with heart disease and sits on the council of the UK Maternal Cardiology Society. He is also the Director of the South Yorkshire EPSRC Digital Health
Speaker 2
Ellen Buckley, Research Associate, University of Sheffield
Speaker 2 bio
Dr Ellen Buckley is a post-doctoral research associate at the University of Sheffield working across the NIHR Sheffield Biomedical Research Centre. Her research aims to develop objective measures of people’s lived experience of mobility disability using wearable sensors and digital technologies.
Time
Wednesday 2 July, 2025, 1pm-2pm BST
Overview
This webinar introduced Smart-Health; an infrastructure for collecting and linking smartphone and wearable data for research health records.
Professor Tim Chico, Professor of Cardiovascular Medicine at the University of Sheffield, spoke about the Research database ethics and governance approach highlighting the process of securing broad NHS data access and the importance of a robust consent model. He also discussed lessons learned along the way and signposted towards people who have similarly gone through these experiences.
In addition, he introduced how Smart-Health works with sub-regional care boards, along with navigating the complex but evolving NHS data landscape.
Ellen Buckley is a Research Associate at the University of Sheffield with experience in sensor based digital mobility assessment in the real world, particularly the Mobilise-D Consortium. She explored how detailed gait analysis using lumbar sensors can be linked with smartphone-based data collection to create a more continuous, long-term picture of mobility and activity. This approach gives researchers a more home-based understanding more reflective of people's lived experiences rather than the standard clinical assessments.
Together, they discussed how these technologies and datasets can be embedded into clinical trials, support self-management of symptoms, and ultimately move toward real-world application and regulatory approval.
Recording
Watch on YouTube

Webinar 7 - Digital Phenotyping in Mental Health
Speaker 1
John Ainsworth, Professor of Health Informatics, University of Manchester
Speaker 1 Bio
John Ainsworth PhD FBCS is Professor of Health Informatics, University of Manchester and the Head of Division of Informatics, Imaging and Data Science. His research focuses on applying emerging computing technologies to create novel healthcare interventions. To deliver lasting im-pact from research he has founded two spinout companies. He has a varied career with degrees in Physics, Cognitive Science, Health Informatics and worked in industry prior to his academic career. John is involved in numerous research projects, but with a singular focus: to use computing and information technology to improve the health of the population.
Speaker 2
James Cunningham, Research Fellow, University of Manchester
Speaker 2 Bio
Dr James Cunningham is an experienced software engineer currently leading the research theme “Health Informatics for Real-World Evidence” at the Centre for Health Informatics at the University of Manchester. Extensive experience in both Object Oriented design and development using both .Net and Java technology stacks and functional programming with Clojure/Common Lisp, F# and Haskell. Obtained a PhD in Information Systems exploring the modelling of knowledge in the development of domain-specific knowledge management applications.
Time
5 March 2025 1-2pm BST
Overview
In our seventh webinar, we are welcomed our colleagues at the University of Manchester, Professor John Ainsworth and Dr James Cunningham.
In this webinar Professor Ainsworth and Dr Cunningham talked about digital phenotyping in mental health covering the opportunities and challenges that digital phenotyping can deliver in mental health. Professor Ainsworth also spoke about the Connect study and the Mental Health Mission, explaining how these studies have been run and how they have successfully used smartphones and wearables to gather meaningful data. Data that may indicate if changes in activity levels, thoughts, feelings, and behaviours might relate to someone’s mental health getting better or worse.
Dr James Cunningham then explored this work in more detail, explaining ontological approaches to digital phenotyping. He shared how an ontological approach can explain logical relationships between captured data such as links between blue-tooth proximity and sociability and how to include these links in your research results.

Webinar 6 - Assessing Body Composition, Fitness and Physical Activity using Smartphones and Wearables

Speaker 1
Soren Brage, Group Leader of the Physical Activity Epidemiology, MRC Epidemiology Unit at the University of Cambridge
Speaker 1 Bio
Soren has an MSc in Exercise Science and an honours degree in health research from the University of Southern Denmark (Odense). He also has MPhil and PhD degrees in Epidemiology from the University of Cambridge. During his PhD, he developed and evaluated techniques for objective assessment of physical activity and fitness in populations, using combined accelerometry and heart rate monitoring. These and similar objective methods have now been implemented in several population studies nationally and worldwide which form the basis of the Physical Activity Epidemiology group’s work.
Speaker 2
Tomas Gonzales, Research Associate in the Physical Activity Epidemiology programme, MRC Epidemiology Unit at the University of Cambridge
Speaker 2 Bio
Tomas is a Research Associate in the Physical Activity Epidemiology programme. His research uses novel measurement and modeling techniques to assess musculoskeletal function and cardiorespiratory fitness, improving our understanding of their relationship with chronic disease outcomes in population studies. Tomas completed a PhD in Medical Science at the MRC Epidemiology Unit, University of Cambridge. His thesis used large epidemiological datasets (e.g., UK Biobank, Fenland) to develop, validate, and apply inclusive and adaptive assessments of cardiorespiratory fitness for population health research.
Time
15 January 2025 1-2pm BST
Overview
For the sixth webinar in our series we welcomed Dr Soren Brage and Dr Tomas Gonzales from the MRC Epidemiology Unit at the University of Cambridge.
Dr Soren Brage, who is the Group Leader of the Physical Activity Epidemiology group, and Dr Tomas Gonzales, a Research Associate in the Physical Activity Epidemiology programme, shared details of past, present and future research in which they have collected meaningful data from peoples’ consumer devices as well as research grade wearable devices.
They discussed why, based on conversations with public and patient contributors, using at-home methods of collecting research data can be beneficial and the areas of concern for those they are hoping to engage.
They also discussed what can be measured using consumer devices, how to make sense of the diversity of consumer devices on the market, and if the data can ever be as scientifically meaningful as research grade models..

Webinar 5 - Developing Digital Biomarkers to Support Drug Development in Rheumatoid Arthritis and Parkinson’s

Speaker 1
Valentin Hamy, Director of Digital Biomarkers Data Analytics at GSK
Speaker 1 Bio
Computer scientist with:
- Over 5 years experience in complex data analysis (imaging, wearable sensors) solutions development and integration in clinical trials across different therapeutic areas.
- Over 6 years experience with medical imaging including computing , analysis and management.
- Over 6 years computer science experience across a range of languages and platforms including coding of existing state of the art methods and development of novel techniques
Speaker 2
Aidan Acquah, final year PhD student from the University of Oxford
Speaker 2 Bio
Aidan received his MEng degree in Biomedical Engineering from Imperial College London in 2017. His master’s research used mathematical models to develop a greater understanding of fungal infection in lung. During his degree, Aidan specialised in work with machine learning, artificial intelligence and data analytics. Following his degree, Aidan worked for a consultant data analytics company as an analyst programmer. While there, he worked on several data analytics and software development projects. These projects covered multiple industries, including oil and gas, consumer and healthcare. Aidan is interested in the use of data analytics to improve healthcare. Aidan is a member of Linacre College, Oxford.
Time
4 December 2024 1-2pm BST
Overview
In our fifth webinar, we looked at how health research using smartphones and wearables is being delivered in the pharmaceutical industry and academia, welcoming Valentin Hamy, Director of Digital Biomarkers Data Analytics at GSK. Valentin shared his perspective on how technology can be used to support drug development.

We also heard Aiden Acquah, a final year PhD student from the University of Oxford who shared his research in the use of wrist worn accelerometery to predict Parkinson’s disease.

Webinar 4 – Considering Health Equity When Using Digital Technology for Research Data Collection

Speaker 1
Sabine Van Der Veer, Senior Lecturer in Health Informatics, University of Manchester
Speaker 1 Bio
Senior Lecturer at the Centre for Health Informatics, University of Manchester (UK). Her research is about improving health care, equity, and outcomes for people with long-term conditions, with a particular focus on how we can use patient-generated health data to support this. She is the deputy lead for the Digital Health theme in the NIHR Applied Research Collaboration Greater Manchester and the Digital Health Inequalities lead for the University of Manchester’s Christabel Pankhurst Institute. Sabine co-leads the REmote MOnitoring of Rheumatoid Arthritis (REMORA) programme that develops, implements and evaluates the cost-effectiveness and digital inclusion of a complex remote symptom monitoring intervention for people with rheumatoid arthritis. She also leads the Manchester Digital Pain Manikin programme on developing and validating novel, culturally appropriate smartphone-based tools for people to self-report their pain.
Speaker 2
Syed Mustafa Ali, Research Associate, University of Manchester
Speaker 2 Bio
Mustafa is a research associate in health informatics at the Centre for Health Informatics. Before joining the University, he designed, monitored and evaluated public health initiatives particularly in tuberculosis and reproductive health in Pakistan for more than 10 years. During that period, he supported data-driven public health programming, by highlighting existing health inequalities in the country. At the Centre, he focuses on digital collection of patient-generated health data, and using that data to improve care and outcomes of culturally diverse people living with long-term conditions. He also works on methods to explore and address unfair and avoidable health outcomes caused or exacerbated by digital health technologies, particularly ethnic health inequities. He also works on scalable approaches for technology development and community engagement across countries with higher burden of chronic pain.
Time
6 November 2024, 1-2PM BST
Overview
One of the most contentious issues in health research using smartphones and wearables is how it may benefit some people while digitally excluding others. In this webinar we faced this topic head on with two expert speakers who shared the methods they employ to design digital tools for collecting patient-generated data for health research in a fair way. Dr Sabine van der Veer shared the approaches she employs to design the numerous tools she has created in kidney disease, rheumatoid arthritis, and chronic pain. Syed Mustafa Ali then shared his experience of successfully widening participation for the Manchester Digital Pain Manikin study. He explained the methods he used to recruit people from ethnic minority backgrounds that have been traditionally underserved in health research, and conducted focus groups with them to understand their digital self-reporting needs.

Webinar 3 – Predicting COPD Exacerbations Using Personal Sensors
Speaker 1
Jennifer Quint, Professor of Respiratory Epidemiology, Imperial College London
Speaker 1 Bio
Jennifer Quint is a Professor of Respiratory Epidemiology in the School of Public Health at Imperial College London. She is an Honorary Consultant Physician in Respiratory Medicine at both the Royal Brompton Hospital and Imperial College London NHS Foundation Trust. Prof Quint leads the Respiratory Electronic Health Record group, a clinical epidemiology research group whose interests centre on using various sources of de-identified, routinely collected electronic healthcare records to study a number of respiratory diseases including chronic obstructive pulmonary disease (COPD), asthma, interstitial lung disease, bronchiectasis and COVID-19. Work centres on maximising the quality, linkage and usage of these data for clinical and research purposes. Research topics include understanding the relationship between cardiovascular and respiratory disease, respiratory disease prevention, diagnosis, natural history and management. Many of the outputs are used for informing policy, and in the planning and allocation of resources.
Speaker 2
Dimitris Evangelopoulos, Research Fellow in Environmental Epidemiology and Biostatistics, Imperial College London
Speaker 2 Bio
Dimitris Evangelopoulos is a Research Fellow in Environmental Epidemiology and Biostatistics at the Environmental Research Group, Imperial College London. His research interests include Epidemiology, Biostatistics, Measurement Error Theory, and Health Impact Assessment and focus on the health effects of air pollution, temperature and other environmental stressors and the impact of exposure measurement error in health effect estimation. He is an associate member of the Committee on the Medical Effects of Air Pollutants and has also acted as an external advisor for WHO.
Time
2 October 2024, 1-2PM BST
Overview
We were thrilled to welcome our partners at Imperial College London for the third webinar in the Health Research from Home series. In this webinar attendees heard how Professor Jennifer Quint and her team used wearable technology to discover exacerbations in COPD or Chronic Obstructive Pulmonary Disease. Research Fellow Dimitris Evangelopoulos then revealed how the technology they used enabled the team to examine the link between COPD and indoor/outdoor air pollution.

Webinar 2 – Digital Measures in Parkinson’s Disease
Speaker
Erin Rainaldi, Head of Sensors Data Science and Johnny Ho, Senior Data Scientist from Verily
Speaker Bio
Erin Rainaldi is the Head of Sensors Data Science at Verily, leading a team of data scientists who specialize in signal processing and machine learning for physiological signals from wearable and mobile devices. Erin is passionate about innovating at the intersection of technology and healthcare, leveraging her previous experience in applied math research, software engineering, and data science to develop novel algorithms across multiple sensor modalities with applications across a range of therapeutic areas.
Time
4 September 2024, 16:00 – 17:00 GMT
Learning Tags
In our second Health Research from Home webinar we were given an in-depth analysis of Verily’s ‘Study Watch and Virtual Motor Exam’ clinical trial. Living with Parkinson’s disease can be cruel and painful. Through this trial, Verily worked with patients to find ways to make their journey less difficult. From conception and design, to developing and validating digital measures, to lessons learnt and future opportunities. Our speakers shared their experiences of using wearable devices to help inform your future research.
The webinar covered:

Clinical area: Parkinson’s disease

Data types: Active tasks and passive sensor data using Verily Study Watch

Data analysis and modelling: Digital biomarker development/ validation
Reading List
1. Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs)
2. Digital Medicine Society Playbook
3. A Patient-Centered Conceptual Model of Symptoms and Their Impact in Early Parkinson’s Disease: A Qualitative Study
4. Measuring Parkinson's disease over time: The real-world within-subject reliability of the MDS-UPDRS
5. Virtual exam for Parkinson’s disease enables frequent and reliable remote measurements of motor function
6. Wrist-worn sensor-based measurements for drug effect detection with small samples in people with Lewy Body Dementia
7. Analytical and clinical validity of wearable, multi-sensor technology for assessment of motor function in patients with Parkinson’s disease in Japan

Webinar 1 - Introducing Health Research from Home
Speaker
Professor Will Dixon, Health Research from Home Lead
Speaker Bio
Will is a Professor of Digital Epidemiology at the University of Manchester, an honorary consultant rheumatologist at Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust and Health Research from Home Lead. His research aims to address clinically important questions by analysing data from patient populations, with particular focus on digital health data. This includes the analysis of electronic health record data from GP surgeries and from hospitals (for example, examining the safety of drugs used in rheumatology) and the collection and analysis of data direct from patients using smartphones and wearables. Examples of innovative digital health research include Cloudy with a Chance of Pain, REMORA (Remote Monitoring of RA) and Assembling the Data Jigsaw. Will is the academic co-lead for the Greater Manchester Secure Data Environment (GM SDE). He also chairs the Scientific Advisory Board for Our Future Health and is a member of MRC's Population and Systems Medicine Board and Population Health Sciences Group.
Time
3 July 2024, 1-2PM
Learning Tags
In our first webinar Health Research from Home Lead, Professor Will Dixon explained more about:
• How our unique partnership came into being and who is involved.
• How we’re going to grow and support a community of people looking to conduct health research using smartphones and wearables.
• How we’re going to revolutionise health research by working with those living with long-term health conditions to improve their outcomes.
• Insights from Professor Dixon's previous study using smartphone data: Cloudy with a Chance of Pain

Cloudy with a Chance of Pain