The Journal of Physiology’s Virtual Journal Club meets online on the first and third Wednesday of each month. Each meeting explores a different paper, recently published in The Journal of Physiology. Discussions also consider best practice for publication. You can find out more about the Virtual Journal Club here.
Heart Failure (HF) poses a significant individual and public health burden and is often categorized based on ejection fraction (EF) and into two types: heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF). However, HF patients present substantial physiological and phenotypical heterogeneities. Therefore, improving HF treatment requires identifying and discerning subgroups of HF based on physiological and clinical data at the systems level. In this Virtual Journal club, the panellists discussed an integrative mechanistic modelling and machine learning study to identify and characterize mechanistic differences between HFpEF subgroups using patient-specific clinical data.
There was a 30-minute networking session immediately after the Virtual Journal Club meeting where attendees had the opportunity to meet and reflect on the conversations had during the meeting.
Registration for Virtual Journal Clubs is free for both members and non-members of The Society.