The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

This important study introduces a Bayesian method to determine bacterial counts that accounts for the experimental noise inherent to dilution and plating methods, and distinguishes it from biological ...

An example of such an alternative is GARDE, a standard-based software platform coupled with algorithms that identify patients who meet National Comprehensive Cancer Network (NCCN) criteria for genetic ...

Population-based algorithms built on Weighted Automata Many algorithms in natural computing and computational biology are population-based: genetic algorithms evolve candidate solutions for ...

Identification of those at risk of hereditary cancer syndromes using electronic health record (EHR) data sources is important for clinical care, quality improvement, and research. We describe ...

2D-3D Facial Image Analysis for Identification of Facial Features Using Machine Learning Algorithms With Hyper-Parameter Optimization for Forensics Applications ...

In this paper, a novel algorithm for partial discharge (PD) pulse waveform analysis and separation based on orthogonal series expansion using Laguerre polynomials is proposed. A system identification ...

Introduction: High-quality care of patients with Cardiac Implantable Electronic Devices, involves early identification of device manufacturer, which leads to timely interrogation using specific ...