Publications by authors named "C F Reeder"
The 12-lead electrocardiogram (ECG) is inexpensive and widely available. Whether conditions across the human disease landscape can be detected using the ECG is unclear. We developed a deep learning denoising autoencoder and systematically evaluated associations between ECG encodings and ~1,600 Phecode-based diseases in three datasets separate from model development, and meta-analyzed the results.
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- Medical record review by physician committees is the current standard for identifying cardiovascular outcomes in clinical trials, but it's time-consuming and inconsistent.
- A new AI model called "HF-NLP" was developed to automatically assess heart failure outcomes, tested on data from international trials, including the DELIVER trial.
- The AI achieved 83% agreement with expert committee decisions, and when supplemented with human reviews for uncertain cases, it could reach 91% agreement while significantly reducing workload.
Article Synopsis
- Despite improvements in managing traditional risk factors, coronary artery disease (CAD) continues to be a leading cause of death, highlighting the need to understand new risk factors, including the role of the spleen.* -
- Researchers employed deep learning and radiomics techniques on MRI data from 42,059 UK Biobank participants to identify splenic features linked to CAD, uncovering 10 relevant features and 219 genetic loci associated with these features.* -
- The study suggests a genetic connection between the spleen and CAD, particularly with the 9p21 variant, and demonstrates how integrating deep learning with genomics can enhance our understanding of CAD mechanisms.*
Background: Disorders affecting cardiac conduction are associated with substantial morbidity. Understanding the epidemiology and risk factors for conduction disorders may enable earlier diagnosis and preventive efforts.
Objectives: The purpose of this study was to quantify contemporary frequency and risk factors for electrocardiogram (ECG)-defined cardiac conduction disorders in a large multi-institutional primary care sample.
Dinitrogen (N2) fixation represents a key source of reactive nitrogen in marine ecosystems. While the process has been rather well-explored in low latitudes of the Atlantic and Pacific Oceans, other higher latitude regions and particularly the Indian Ocean have been chronically overlooked. Here, we characterize N2 fixation and diazotroph community composition across nutrient and trace metals gradients spanning the multifrontal system separating the oligotrophic waters of the Indian Ocean subtropical gyre from the high nutrient low chlorophyll waters of the Southern Ocean.
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