Arif Budiarto is a dedicated PhD student in the field of Medical Informatics at the prestigious University of Edinburgh. With a passion for AI in healthcare, Arif’s current research focuses on developing a machine learning model that aids clinicians in predicting patients at high risk of asthma attacks. By harnessing the power of AI and leveraging the abundant healthcare data available, Arif aims to contribute to the advancement of personalized and effective healthcare services. Through their work, Arif strives to make a positive impact in the field of medical informatics and improve patient outcomes.
Month: January 2024
Spotlight: Amy Chan
Amy is a senior clinical academic pharmacist at the School of Pharmacy, University of Auckland, and working clinically in primary care. She also holds an honorary post at the Centre of Behavioural Medicine, University College London. Amy has specific research interests in digital health interventions and using big data to explore relationships between different risk factors and health outcomes. Amy has nearly 15 years’ experience in the public health service, where she led the clinical pharmacy service. She also provides consultancy to charities, medical research organisations, and non-government organisations. Amy is currently the global lead for workforce transformation with the International Pharmaceutical Federation (FIP), and the Commonwealth Pharmacists’ Association (CPA) Research Lead. Amy is a member of the global Respiratory Effectiveness Group (REG), Open Digital Health and leads a workstream for ERS CONNECT Clinical Research Collaboration – Moving multiple digital innovations towards connected respiratory care: addressing the over-arching challenges of whole systems implementation.
Spotlight: Laura Bonnett
Laura is a Medical Statistician primarily interested in the development and validation of clinical prediction models for people with recurrent conditions such as epilepsy and asthma. She is based in the Department of Health Data Science at the University of Liverpool. Laura’s work has informed the Driving and Vehicle Licensing Agency’s regulations on time off driving for people with a first-ever seizure, and driving during and after anti-seizure medication withdrawal. This work has now also underpinned European Union policy on driving. Laura is a Chartered Statistician and a committed STEM (Science, Technology, Engineering & Mathematics) Ambassador. As part of these roles, she has developed statistical outreach activities which can be used by anyone with an interest in the area at a variety of events such as careers fairs, science festivals and STEM clubs (www.rss.org.uk/hands-on).
Spotlight: Holly Tibble
For those of you who haven’t yet met me, hello! I am a Chancellor’s Fellow at the University of Edinburgh, working on improving methods for risk prediction modelling (primarily in asthma) and developing pathways for integration into primary care practice. Prior to Edinburgh, I worked at the University of Melbourne in mental health care, health in the justice system, and medico-legal complaints (quite a bizarre hodge-podge, but such is ECR research funding!) My background is as a statistician, but my passion is getting actionable insights from data. My motivation for starting this network was so that we can find mutually-beneficial routes to improving our research and getting closer to widespread patient benefit.
Welcome to RespiRisk!
RespiRisk is an online hub for the respiratory risk prediction modeling community in the UK. I hope that this space will allow us to collaborate, to share papers and results, and to promote relevant events and resources.
The hub started in 2023 in the form of a quarterly email blast, but by relocating here it is my hope that it will be easier to access updates and resources.
Thank you for being here!
Holly Tibble