Objectives The development of simple tools to identify individuals at high risk of coronary heart disease (CHD) would enable rapid implementation of preventive measures. This study was designed to ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, and public reviews. In this manuscript, the authors aim to elucidate the mechanisms ...

During the peer-review process the editor and reviewers write an eLife assessment that summarises the significance of the findings reported in the article (on a scale ranging from landmark to useful) ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the potential risks to patients and call for improved governance to ensure the ...

Asan Medical Center has introduced an advanced version of its elderly frailty score, which can now predict more risks associated with hospitalisation. The Acure Geriatric Risk Scale builds on the ...

Illinois’ 45-19 victory over Duke last weekend was indisputably the Big Ten’s best win of the week. Oregon’s 69-3 blasting of Oklahoma State sent a message, as putting a 66-point pounding on any Power ...

Alzheimer’s disease is a progressive neurodegenerative disease and a major public health concern globally in aging populations. Currently, there are limited treatments for this disease, and it not ...

The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated unless otherwise noted. Relationships are self-held unless noted. I ...

Reply to: Recalibrating Digital Predictions: Uncovering the Limits of the MMAI Prostate LT-ADT Predictive Model in the Era of Tumor Evolution The following represents disclosure information provided ...

Abstract: The utilization of incremental models is a straightforward and effective method to improve the robustness of model predictive control (MPC). However, there ...

The newly developed model has an area under the curve of 0.807 for predicting progression-free survival. A prediction model incorporating genomic and pathological data can be used to improve ...