British Heart Foundation Clinical Research Collaborative’s Post

🎉 I’d like to congratulate Dr. Nikolaos Theodorakis, MD, for his outstanding presentation of our research paper at the #MIE2024 conference organized by the EFMI-European Federation for Medical Informatics. 📊 The paper, titled "Advancing Cardiovascular Mortality Trend Analysis: A Machine Learning Approach to Predict Future Health Policy Needs," addresses crucial advancements in public health forecasting. https://lnkd.in/dWKxQPZN Our research investigates cardiovascular mortality trends within Greece's elderly population from 2001 to 2020, utilizing two forecasting models: the Autoregressive Integrated Moving Average (ARIMA) and Facebook's Prophet model. Through this study, we've evaluated the effectiveness of these models in predicting cardiovascular mortality trends for 2020-2030, revealing valuable insights for future health policy planning. 🧠💡 I’d like to extend my gratitude to my co-authors for their invaluable contributions: Dr. Nikolaos Theodorakis, Dr. Georgia Vamvakou, Dr. Christos Hitas, Dr. Dimitrios Anagnostou, Dr. Sofia Kalantzi, Dr. Aikaterini Spyridaki Dr. Zoi Kollia, Mrs. Michalitsa Christodoulou, Prof. Dimitris Kalles, Dr. Andreas Gkontzis , Prof. Vassilios Verykios, and the Director of the Geriatric Outpatient Clinic Dr. Maria Nikolaou, MD. This work not only underscores the importance of adaptive forecasting tools in public health but also highlights the potential of advanced statistical methods in shaping future health policies. 🌟 We look forward to continuing this impactful work and sharing further updates. #PublicHealth 🩺 #MachineLearning 🤖 #HealthPolicy 📈 #MIE2024 #CardiovascularHealth ❤️ #ForecastingModels 📊 #TimeSeriesAnalysis

I am excited and proud to share the publication of my first first-author paper: "Remote Digital Technologies for Early Detection and Monitoring of Cognitive Decline in Patients With Type 2 Diabetes: Insights From Studies of Neurodegenerative Diseases." I am deeply passionate about longitudinal unobtrusive monitoring, where the convergence of data from diverse streams and biomarkers creates a more comprehensive picture of an individual’s health. My aspiration is two-fold: 1) To leverage longitudinal monitoring techniques and technology to empower individuals and their families with insightful and meaningful data pertaining to their health, and 2) To take proactive measures rather than reactive, when possible, to enhance personal health outcomes for the better. Robust cybersecurity measures to safeguard this wealth of information in addition to increasing widespread equitable access to technology are paramount. I am filled with gratitude for Dr. Adam Staffaroni and Dr. Emily Paolillo from University of California, San Francisco for their unwavering support and expertise through 17+ drafts, and a comprehensive 300+ article literature review. Special thanks to Dr. David Klonoff from Diabetes Technology Society (DTS) for encouraging my pursuit in the intersection of Type 2 Diabetes and cognitive decline, combining both facets of my prior experiences in diabetes technology and neurodegenerative diseases, and for believing in me throughout. Read the published article here: https://lnkd.in/gMpq_GgU Thrilled to contribute to diabetes technology research. Let's advance health technology and preventative detection together. — Ashley DuNova (previously DuBord) 🍵 P.S. I printed the final published paper on mugs in honor of tradition at the UCSF Research Lab I was a part of prior, and as a kudos to the bottomless mugs of tea fueling the writing and literature review process. #Research #DiabetesTechnology #HealthTech #ScientificPublication

Nearly half of counties in the United States don't have a single cardiologist, according to a new study in the Journal of the American College of Cardiology. We believe digital health tools are the most effective and scalable way to bridge the urban-rural divide and help people everywhere take care of their hearts. And we're working every day to do just that. Last year, we published peer-reviewed research that found equitable outcomes for Hello Heart users regardless of their location or distance to a healthcare facility. Check out the findings here: https://lnkd.in/gmYGfRZX And read more about the JACC study here in NBC News: https://lnkd.in/eVweqJiF #RuralHealth #DigitalHealth #HeartHealth

Digital biomarkers represent a paradigm shift in every aspect of healthcare – from drug development to direct patient care. Companies like Cumulus are working hard to disrupt the biopharma industry, notoriously known for slow adoption of new technologies. We can’t do this alone! That’s why we are thrilled to be joining key stakeholders across the industry in this critical DATAcc by DiMe project to advance the acceptance and utilization of digital endpoints. Excited to be alongside friends and partners on this journey to finally have the tools we need to quantify the ROI of including digital endpoints in clinical studies! #digitalbiomarkers #digitalendpoints #CNS #innovation

A date for your diary: 6pm on April 16 at Rewley House in Oxford, a public talk about the vital role of patient healthcare data in saving lives. Organised by NIHR Oxford Health Biomedical Research Centre (OH BRC), this session will highlight how NHS data is used to prevent diseases and improve patient outcomes. Professors Eva Morris and Andrea Cipriani will dive into the potential benefits of harnessing this information. #HealthcareData #PatientOutcomes #NHSResearch #HealthData

Exciting News! Our latest publication, “Interpretable data-driven approach based on feature selection methods and GAN-based models for cardiovascular risk prediction in diabetic patients,” presents an innovative machine learning (ML) model designed to predict 10-year CVD risk in older individuals with type 1 diabetes (T1D). Using data from the Steno Diabetes Center Copenhagen, we explored various ML models, including KNN, decision tree, random forest, and multilayer perceptron (MLP). The use of CTGAN-generated synthetic data significantly enhanced model performance, while feature selection techniques highlighted critical risk factors. The MLP model excelled with a mean absolute error of 0.0088. Key risk factors? Age, HbA1c, and albuminuria. This groundbreaking study paves the way for early intervention and targeted treatments to prevent CVDs in T1D patients. Discover more and download the full issue here. 🔗 https://lnkd.in/eiFdsduZ Norwegian Centre for E-health Research CiaoTech - Gruppo PNO INNOVATION PLACE Consiglio Nazionale delle Ricerche Universidad de Las Palmas de Gran Canaria UiT Norges arktiske universitet Fundación Canaria de Investigación y Salud y Servicio de Evaluación del Servicio Canario de la Salud Evaluation Unit of the Canary Islands Health Service Canary Islands Health Research Institute Foundation Universitetet i Oslo (UiO) Munster Technological University NetSun Software Universidad Rey Juan Carlos Sensotrend #health #ehealth #chronicconditions #artificialintelligence

New paper here on digital technologies for measuring health in Alzheimer's disease and related dementias, which I helped out on. https://lnkd.in/eqjCNUf7 Turns out there are a heap of useful tools and devices out there, but it's hard to dig up validation evidence for a lot of them. Part of this project was to set up a library, where the interested researcher can find that evidence in once place.

With 2023 drawing to a close, we are reflecting on some of Health Data Research UK’s (HDR UK) highlights over the past year... 💉 Research supported by the British Heart Foundation (BHF) Data Science Centre revealed that 500,000 people missed preventative blood pressure medications as a result of the pandemic, using 1.3 billion prescription records from England, Scotland and Wales. 📉 Research supported by the International COVID-19 Data Alliance (ICODA) and HDR UK of 52 million births from 26 countries found a 3-4% reduction in pre-term births in low-income countries during the first four months of COVID-19 lockdowns. 🧠 NEURii was launched by HDR UK, the University of Edinburgh, LifeArc, Eisai and Gates Ventures to transform care for people living with dementia through health data and AI. 💊 HDR UK supported research – in collaboration with Bowel Cancer UK and Queen's University Belfast – found that cetuximab treatment breaks could potentially save up to £1.2 billion for the NHS without worsening patient care and outcomes, leading to the NHS lifting the ban on treatment breaks for patients with advanced bowel cancer. 🗣️ We launched our #HDRUKStories campaign to spotlight some of the unique stories and experiences from across our HDR UK Voices community who are helping to shape health data research and make a difference to the future of healthcare. 🌍 We were delighted to join the UK node of ELIXIR. 💡 19 organisations were awarded funding by the Medical Research Council to support implementation of the UK Health Data Research Alliance Transparency Standards. 🚀 Dare UK published the final outputs from the five Driver Projects funded by UK Research and Innovation (UKRI), exploring key aspects for a UK-wide network of Trusted Research Environments (TREs). We’d like to thank our community for your support and we are looking forward to seeing what 2024 holds for health data science! 🎉

In 2009, we published an article in Circulation describing the unique contributions of qualitative and mixed methods in cardiovascular care research. The article has been cited over 1600×, signaling Circulation as thought leader in promoting diverse research methods among clinical and health services journals. Yet uptake of qualitative and mixed methods in cardiovascular research since 2009 has been disappointingly low. A 2018 search found <1% of articles in the top 30 cardiovascular journals. In this piece we describe possible reasons for underuse, and encourage greater inclusivity of these methods to help: ·      Generate root cause evidence regarding the underlying drivers of profound and persistent racial and ethnic inequities in cardiovascular care and outcomes ·      Mitigate known risks and liabilities of big data and AI intelligence for cardiovascular research ·      Develop evidence on organizational and systems change processes that is essential for translating discoveries into practice Generating impactful evidence in the extraordinarily challenging current and emerging context requires the most comprehensive, flexible, and robust set of research tools possible. The ability of researchers to recognize the complementary value of qualitative and quantitative methods and to move fluidly between them is key. #YSPH https://lnkd.in/erfWvqiA  

Celebrating Cindy’s journey in the REAL MS study! We’re excited to share Cindy’s inspiring journey as she recently completed the REAL MS study. Over the past 20 years, Cindy has been a dedicated participant in research for multiple sclerosis, Parkinson’s, cancer detection, health and exercise, genomic sequencing, infectious diseases, mental health, and health research databases, contributing to numerous studies including smart devices and the All of Us Research Program. From smell tests and strength assessments on the Biodex to body composition tests on the BodPod, as well as biopsies, blood draws, data collection via apps and smart devices, fecal test kits, and spit kits, Cindy has done it all! As a seasoned veteran, Cindy offers this advice to others in the MS and Parkinson’s community: “Participate in research! Some studies are fun; some are a way to learn more about your personal health. All are interesting ways to learn about the medical field, advance basic research, diagnoses, and treatments. Help yourself, your loved ones, your community, and mankind. Sign up and don’t be shy!” Learn more about REAL MS and other research opportunities here: https://lnkd.in/gJUxKuVb #research #multiplesclerosis #parkinsonsdisease #healthresearch #patientadvocacy #MSresearch #researchopportunity