Predict • Personalise • Prevent inflammatory bowel disease (IBD) Professor Charlie Lees Professor of Gastroenterology Contact details Email: Charlie.lees@ed.ac.uk Social: X: @charlie lees Social: LinkedIn: Charlie Lees Web: Atomic IBD Newsletter: Subscribe Web: Atomic IBD Blog: Read More Web: YouTube: Charlie Lees Research in a NutshellWe build data‑driven tools that predict disease course and personalise therapy in IBD. Our work integrates longitudinal biomarkers and EHR data with multi‑omics, digital telemonitoring, and machine learning to forecast flares, guide treatment choices, and reduce complications. The practical end‑point is a clinically embedded decision support tool for frontline care. Why Edinburgh / IGC? Edinburgh uniquely couples world‑class data science and statistical genomics at the Institute of Genetics and Cancer with one of the world’s most complete IBD real‑world cohorts in NHS Lothian, allowing rapid translation from discovery to clinical implementation. We build on two decades of IBD genetics and epidemiology leadership in Edinburgh and across international consortia, now extending that tradition into dynamic prediction and service redesign. Our clinical data is being integrated with DataLoch and TrakCare to surface real‑time risk and action prompts in routine care. Principal Investigator (brief) Prof Charlie W. Lees Professor of Gastroenterology (University of Edinburgh) and Consultant Gastroenterologist (Edinburgh IBD Unit). Trained in London (UCL MBBS, 2000), moved to Edinburgh in 2001 for medical and gastroenterology training, PhD in IBD genetics (2009), NHS Consultant since 2009, and UKRI Future Leaders Fellow since 2019. Charlie maintains a large, complex IBD clinic while leading a translational research team focused on prediction, prevention and practical care impact. What we’re Working on Core research themesDynamic risk prediction: using longitudinal faecal calprotectin (FC), CRP and multimodal biomarkers to anticipate flares and complications before symptoms escalate.Therapy positioning & outcomes: comparative effectiveness, optimal sequencing and persistence of advanced therapies using high‑quality real‑world data across Lothian and partner centres.Global epidemiology & burden: mapping how IBD is evolving locally and worldwide, alongside implications for policy and health‑systems.Environment, diet, microbiome, genetics & flare biology: Leveraging the PREdiCCt study cohort’s deep baseline phenotyping and longitudinal follow‑up to better understand disease triggers and modifiers.Major studies & data resourcesPREdiCCt (PRognostic effect of Environmental factors in Crohn’s & Colitis): UK‑wide prospective cohort, 2,629 participants across 49 sites; deep diet, environment, microbiome and psychosocial phenotyping; now building prediction models that combine baseline and longitudinal data.Lothian IBD Registry: comprehensive longitudinal EHR cohort (≈10,000 patients) with 20+ years of data; platform for biomarker modelling, pharmaco‑epidemiology and service evaluation; integrated with DataLoch to enable embedded decision support. Linked biobank available for collaborative studies.SENTINEL: AI-driven dynamic clinical decision support tool built to transform IBD care in Lothian and scale; test-bed for risk prediction models developed by our data science team using landmarking survival analysis with latent-class mixed modelsStrategic collaborationsBiomedical Data Science (MRC HGU): with Dr Catalina A. Vallejos: statistical genomics, EHR modelling, and shared methods pipelines (co‑supervised researchers).PREDICT Center, Denmark (Aalborg University): with Prof Tine Jess: large‑scale phenomics and risk prediction; Charlie is Adjunct Professor at PREDICT.National & international consortiaUKIBD BioResource; IIBDGC; PANTS; GIVES‑21; and the Lancet Commission on Global IBD (2024–2026). These programmes extend our genetics, pharmaco‑genetics, epidemiology, and outcomes work across global networks. Our Team Principal InvestigatorProf Charlie W. Lees: Professor of Gastroenterology; UKRI Future Leaders Fellow; Adjunct Professor (Aalborg University, PREDICT).Post‑doctoral data scientistsNathan Constantine‑CookeVictor Velasco‑Pardo is currently working on dynamic prediction of IBD outcomes using landmarking; modelling temporal trends in rates of prescription of advanced therapies and surgery in Crohn’s disease patients in Lothian; and modelling longitudinal trajectories of blood biomarkers in IBD patients.Alex RudgeClinical academics & fellowsNik PlevrisClara Ramos-BelinchonBeatriz GrosElliot GemmellAlex Elford Research nursingDebbie Alexander (Lead), Claire McQuillian, Louise TaylorLaboratory scienceAsim Azfer, Post-Doctoral Lab Researcher Funding & Recognition UKRI Future Leaders Fellowship (2019–2027; renewal 2024–2027): Predicting outcomes in IBD.Open Targets: “Open IBD” (2025–2028).PREdiCCt funding: CSO (Scotland), Cure Crohn’s & Colitis, Crohn’s & Colitis in Childhood, Lothian Health Endowment Fund.Bengt Ihre Prize (Swedish Society of Gastroenterology, 2024)Co‑lead, Lancet Commission on Global IBD (2024–2026). Impact & Translation We prioritise improving clinical care translating models into embedded decision support with nurse‑led triage prompts, treat‑to‑target nudges, and population dashboards, monitored for calibration, drift and fairness. Our near‑term target is a pilot across high‑risk patients in Lothian, scaling to service‑wide adoption with measurable reductions in IBD bed‑days and improved flare‑free survival. Selected Recent Publications (high‑impact & strategic) Global evolution of IBD across epidemiologic stages. Nature (2025). Foundation framework for capacity‑building; Lothian data contributed.Twenty‑year trends in colectomy & advanced therapy (Lothian). Aliment Pharmacol Ther (2025). Real‑world evidence linking therapy uptake with surgery reduction—guides service planning.IBD and >1,500 comorbidities (pre‑ & post‑diagnosis). Am J Gastroenterol (2025). First disease‑wide phenome association in IBD (joint senior).Longitudinal FCP profiles stratify Crohn’s trajectories. Clin Gastroenterol Hepatol (2023). Basis for dynamic risk models.Disease monitoring in IBD: state of the art. Gastroenterology (2022). Practice‑shaping review for real‑world monitoring.Comparative effectiveness (tofacitinib vs vedolizumab) in UC. J Crohn's Colitis (2024). First‑line positioning insights in bio‑naïve patients.A full publications list is available via PubMed; Charlie has 160+ peer‑reviewed publications with H-index of 67 Future Directions AI‑powered clinical decision support (SENTINEL): live, explainable risk and action prompts in the EHR (clinician‑in‑the‑loop), expanding to SaMD as evidence matures.Next‑gen multimodal models: integrate wearables, home FCP, metabolomics (Nightingale), microbiome and polygenic scores for personalised trajectories.Global equity & implementation: adapt models to varied health‑system contexts via federated analytics and pragmatic datasets. Clinical Trials Programme We have a rich tradition of collaborative research across the UK and internationally, recruiting large numbers of patients to commercial and non-commercial clinical and translational studies.Highlights have included: UKIBD Bioresource, CLARITY and xxx during COVID; Profile; PANTS and PRED4Currently recruiting studies includeGONDOMAR - studying fistulising Crohn’s diseaseUKIBD Bioresource - targeting non-white patients in particularOPEN-IBD - state-of-the-art inception cohort for newly diagnosed IBDIBD-RESPONSE - large microbiome study of advanced therapy response / non-responseCommercial clinical trials recruiting/in setup includeTARGETVICTRIVAVECTORSICONIC Training & Opportunities We welcome Data Science PhD/PDRAs, clinical research fellows, and visiting researchers. Projects span longitudinal modelling, comparative effectiveness, clinical trials methodology, and translational studies. Clinical fellow posts are opening soon; enquiries encouraged. Data & Resource Sharing We share analysis pipelines under open source licenses ; collaboration proposals using the Lothian IBD Registry are reviewed via our data access process in partnership with NHS Lothian/DataLoch. Collaboration Links Vallejos Group (MRC HGU)PREDICT Center (Aalborg University) This article was published on 2024-09-23