IEEE

Prediction of Early Cancer using Novel Improved Elastic NET Regression Model-based Optimization Framework

Abstract: Improving survival rates as well as enabling timely therapies depend on early cancer prediction. Diagnostic accuracy has increased due to advancements in radiomics, Deep Learning (DL), as ...
Frontiers

Construction of predictive models for contralateral occult thyroid carcinoma and central lymph node metastasis in unilateral papillary thyroid carcinoma using machine learning

Background: This study aimed to develop predictive models based on preoperative clinicopathological and imaging features to accurately assess the individual risk of contralateral occult thyroid ...
Cancer Research

A Blood Metabolic Signature of a Healthy Lifestyle and Colorectal Cancer Risk: Results from Cohort and Mendelian Randomization Studies

1Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
The EMBO Journal

Predicting natural variation in the yeast phenotypic landscape with machine learning

Peer ReviewDownload a summary of the editorial decision process including editorial decision letters, reviewer comments and author responses to feedback. Most organismal traits result from the complex ...