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Machine Learning & Clinical Prediction Journal Club
The MLCP journal club is a monthly, interdisciplinary journal club for anyone interested in machine learning and/or clinical prediction. We cover technical aspects, but the focus is ultimately on the practical, clinical use-cases of machine learning (e.g. for clinical prediction of cardiovascular disease), where we dissect pitfalls and limitations to cut through the hype. Anyone can join the journal club (e.g. students, clinicians, researchers from outside of Steno Aarhus), the only expectation is that you read the actual article before joining and come with an open mindset.
Upcoming sessions
2025 Fall Plan
Date, time Oct 20, 12-13
Location Spektrummet (A401-111), Steno Diabetes Center Aarhus (see Contact page)
Article Dennis et al. A five-drug class model using routinely available clinical features to optimise prescribing in type 2 diabetes: a prediction model development and validation study, The Lancet. Link
Date, time Nov 17, 12-13
Location Spektrummet (A401-111), Steno Diabetes Center Aarhus (see Contact page)
Article Prinder et al. The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP, Scientific Reports. Link
Date, time Dec 15, 12-13
Location Mellemrummet (A201-247), Steno Diabetes Center Aarhus (see Contact page)
Article Shi et al. A multimodal visual–language foundation model for computational ophthalmology, npj Digital Medicine. Link
See past sessions
2025:
Sep 22
Article: Xu, Narayanswamy et al. LSM-2: Learning from Incomplete Wearable Sensor Data, arXiv Link
Sep 1
Article: Ding et al. Large language multimodal models for new-onset type 2 diabetes prediction using five-year cohort electronic health records, Scientific Reports. Link
Jun 16
Article: Riley et al. Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes, Statistics in Medicine. Link
May 26
Article: Kaufman et al. Linear effects of glucose levels on voice fundamental frequency in type 2 diabetes and individuals with normoglycemia, Scientific Reports. Link
May 5
Article: Carrasco-Zanini et al. Multi-omic prediction of incident type 2 diabetes, Diabetologia. Link
Mar 24
Article: Kapoor & Narayanan. Leakage and the reproducibility crisis in machine-learning-based science, Patterns. Link
Feb 24
Article: Kim et al. Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data, arXiv. Link
Jan 27
Article: Helmink et al. Lifetime and 10-year cardiovascular risk prediction in individuals with type 1 diabetes: The LIFE-T1D model, Diabetes, Obesity & Metabolism. Link
2024:
Dec 16
Article: Zhou et al. A foundation model for generalizable disease detection from retinal images, Nature. Link
Nov 25
Article: Groh et al. Deep learning-aided decision support for diagnosis of skin disease across skin tones, Nature Medicine. Link
Oct 28
Article: Maris et al. Ethical use of artificial intelligence to prevent sudden cardiac death: an interview study of patient perspectives, BMC Medical Ethics. Link
Sep 23
Article: Jiang et al. Health system-scale language models are all-purpose prediction engines, Nature. Link
Aug 26
Article: Hughes et al. A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease, npj Digital Medicine. Link
Jun 24
Article: Deng et al. Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients, npj Digital Medicine. Link
May 27
Article: Tang et al. Evaluating large language models on medical evidence summarization, npj Digital Medicine. Link
Apr 15
Article: Collins et al. Evaluation of clinical prediction models (part 1): from development to external validation, BMJ. Link
The program for the next five to six months is unveiled around the end of each semester. Feel free to suggest topics or papers you would like to see a session on.