Upcoming Events

 Upcoming Events

Featured
Advancing In Silico Approaches in Respiratory Medicine – A symposium
Sep 9
Advancing In Silico Approaches in Respiratory Medicine – A symposium

Save the Date for this symposium to explore regulatory challenges in integrating modelling and simulation approaches into respiratory medicine.

Conference: In Silico Technologies for Respiratory Medicine
Sep 10
Conference: In Silico Technologies for Respiratory Medicine

Save the date for our annual conference 10 - 11th September 2025.

Previous Events

Featured
Advancing Lung Diagnostic Technologies – A Scientific Meeting
Jun 16
Advancing Lung Diagnostic Technologies – A Scientific Meeting
Sandpit – Advancing In Silico Respiratory Medicine: Identification of use case studies
Mar 14
Sandpit – Advancing In Silico Respiratory Medicine: Identification of use case studies
Dr Ewan Goligher - Using Computational Models to Optimize Mechanical Ventilation in Acute Respiratory Failure
Feb 26
Dr Ewan Goligher - Using Computational Models to Optimize Mechanical Ventilation in Acute Respiratory Failure
Webinar – Advancing In Silico Respiratory Medicine: An Introduction
Feb 7
Webinar – Advancing In Silico Respiratory Medicine: An Introduction
BIOREME at Winter BTS
Nov 29
BIOREME at Winter BTS
Information Session: Submitting a Study Group Challenge
Nov 20
Information Session: Submitting a Study Group Challenge
Quantifying mechanobiology using human lung slices — Dr Ramaswamy Krishnan
Sep 26
Quantifying mechanobiology using human lung slices — Dr Ramaswamy Krishnan
Dr Rossella Arcucci — Leveraging Multiple Modalities of Healthcare Data for Enhanced Data Learning
Jun 26
Dr Rossella Arcucci — Leveraging Multiple Modalities of Healthcare Data for Enhanced Data Learning
Public engagement: STEM Research Insight visit for secondary school students
Jun 25
Public engagement: STEM Research Insight visit for secondary school students
A Study Group in Data-Driven Biophysical Modelling with Industry and Clinicians
Jun 17
A Study Group in Data-Driven Biophysical Modelling with Industry and Clinicians