The American Journal of Managed Care

Machine Learning Predicts Hyperglycemia Risk in Psoriasis

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
Healio

AI, digital tools hold promise for improving cardiometabolic health

AI and digital health devices should not be viewed as replacements for health care professionals, but as tools that can be ...
Fierce Biotech

Abbott launches AI-based Libre Assist, its new in-app feature for meal planning

Abbott is tapping the spirit of new beginnings for the New Year by unveiling a “gamechanger" feature within the company’s ...
IEEE

DDoS Attack Detection in IoT: A Comparative Resource and Performance Analysis of Deep Learning and Machine Learning Models

Abstract: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...
IEEE

Anomaly Detection in IoT Networks: A Deep Learning Approach Using Autoencoders

Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...
Medical Xpress

Using genetics to predict who is at risk of developing type 1 diabetes could inform large-scale health studies

A test using genetics to predict who is at the highest risk of developing type 1 diabetes could one day be applied to large-scale health studies, to identify adults who could benefit from new drugs, ...
Frontiers

Machine learning-optimized metabolic biomarker panel for precision screening of early-stage pancreatic cancer in new-onset diabetes

Introduction: New-onset diabetes (NOD) represents a high-risk population for pancreatic ductal adenocarcinoma (PDAC), yet effective early detection tools for this specific subgroup remain an unmet ...