News
Our ambition is to share major announcements, results and events on this page. While the website development is still in progress, sign up to our newsletter and read our previous newsletters. Also, you can find links to our SoMe accounts on our personal profile pages under the Team tab.
Previous Newsletters
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 Sep 22, 12-13
Location Spektrummet (A401-111), Steno Diabetes Center Aarhus (see Contact page)
Article Xu, Narayanswamy et al. LSM-2: Learning from Incomplete Wearable Sensor Data, Google Research. Link
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 TBA
Past Sessions
See past sessions
2025:
Date, time: 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
Date, time: 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
Date, time: 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
Date, time: May 5
Article: Carrasco-Zanini et al. Multi-omic prediction of incident type 2 diabetes, Diabetologia. Link
Date, time: Mar 24
Article: Kapoor & Narayanan. Leakage and the reproducibility crisis in machine-learning-based science, Patterns. Link
Date, time: Feb 24
Article: Kim et al. Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data, arXiv. Link
Date, time: 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:
Date, time: Dec 16
Article: Zhou et al. A foundation model for generalizable disease detection from retinal images, Nature. Link
Date, time: Nov 25
Article: Groh et al. Deep learning-aided decision support for diagnosis of skin disease across skin tones, Nature Medicine. Link
Date, time: 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
Date, time: Sep 23
Article: Jiang et al. Health system-scale language models are all-purpose prediction engines, Nature. Link
Date, time: Aug 26
Article: Hughes et al. A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease, npj Digital Medicine. Link
Date, time: 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
Date, time: May 27
Article: Tang et al. Evaluating large language models on medical evidence summarization, npj Digital Medicine. Link
Date, time: Apr 15
Article: Collins et al. Evaluation of clinical prediction models (part 1): from development to external validation, BMJ. Link
Date, time: Mar 18
Article: Kaufman et al. Acoustic Analysis and Prediction of Type 2 Diabetes Mellitus Using Smartphone-Recorded Voice Segments., MAYO CLINIC PROCEEDINGS: DIGITAL HEALTH. Link
Date, time: Feb 26
Article: Lee et al. Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction, npj Digital Medicine. Link
Date, time: Jan 22
Article: Placido et al. A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories, Nature Medicine. Link
2023:
Date, time: Dec 18
Article: Vistisen et al. Prediction of First Cardiovascular Disease Event in Type 1 Diabetes Mellitus: The Steno Type 1 Risk Engine, Circulation. Link
Date, time: Nov 20
Article: Vistisen et al. Machine learning for medical imaging: methodological failures and recommendations for the future, npj Digital Medicine. Link
Date, time: Oct 9
Article: Li et al. Consistency of variety of machine learning and statistical models in predicting clinical risks of individual patients: longitudinal cohort study using cardiovascular disease as exemplar, 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.