Lenus Health announces publication of breakthrough AI workflow paper ahead of BTS Winter Meeting

Lenus Health proudly announces the publication of a late-breaking paper in Frontiers in Artificial Intelligence, just ahead of the British Thoracic Society (BTS) Winter Meeting in London from 27-29 November. The paper, titled "Supporting Long-Term Condition Management: A Workflow Framework for the Co-Development and Operationalization of Machine Learning Models Using Electronic Health Record Data Insights," introduces a novel workflow framework designed for proactive, personalized, and preventative care in long-term conditions.

Drawing on Lenus Health’s extensive data science and multidisciplinary clinical expertise, the publication provides in-depth insights into the co-development and operationalization of two proprietary Lenus Stratify^® risk-prediction models, showcasing them as case studies for this innovative approach.

Read the full publication here.

Lenus Health's Scientific Contributions at BTS Winter Meeting

Lenus Health is committed to transforming respiratory care through advanced AI-driven solutions. At the BTS Winter Meeting, our scientific contributions highlight the impact of our research and innovations:

Friday, 29 November, 1:30pm-3pm

"Catching Fire" - Measuring and targeting inflammation in COPD, Westminster room, 4th Floor

P192 "From development to deployment: actionable AI models that accurately predict admissions and exacerbations in patients with COPD" BMJ Thorax abstract

>> Poster display room: Whittle/Fleming room, 3rd Floor, attended 10-11am

Friday, 29 November, 3:15pm-4:25pm

"The Importance of Breathing Earnest" - Clinical COPD, Cambridge room, 5th Floor

M31 "Assessing the impact of a digital self-management service following severe chronic obstructive pulmonary disease (COPD) exacerbation: 3-month interim results vs a control cohort" BMJ Thorax abstract

M37 "Deploying live AI-based risk prediction models for use in a COPD MDT: Acceptability, feasibility and utility data from the DYNAMIC-AI clinical trial" BMJ Thorax abstract

Our participation in these sessions underscores our dedication to leveraging AI for better respiratory care and highlights the practical applications of our technologies in clinical settings. Join us at the BTS Winter Meeting as we unveil these significant contributions to respiratory medicine and explore the future of AI in healthcare or get in touch today.