Researchers explore DNA methylation patterns for early ovarian cancer detection, aiming to improve survival rates through ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

Several significant research studies related to Preventing Phishing Attacks for Cyber Threat Mitigation have been reviewed ...

Deep Treatment Learning (deepTL), a robust yet efficient deep learningbased semiparametric regression approach, is proposed to adjust the complex confounding structures in comparative effectiveness ...

Methods A multimodal deep-learning model with transformers was developed for real-time recurrence prediction using baseline clinical, pathological, and molecular data with longitudinal laboratory and ...

An AI model trained on analyzing ultrasound images and molecular testing results may assist health care professionals treating indeterminate thyroid nodules, researchers stated in a letter to the ...

Dubbed CRAK, the new hybrid deep learning model combines a convolution layer, followed by a recurrent layer, an attention mechanism, and a Kolmogorov–Arnold Network (KAN).

Brian Spears and colleagues built a generative machine learning model that was used to successfully predict the outcome of a recent fusion ignition experiment at the U.S. National Ignition ...

In a study published in PNAS Nexus, researchers from Lawrence Livermore National Laboratory (LLNL) described a new deep learning model, called ST-GasNet, capable of predicting toxic plume behavior in ...