BostonGene, a leader in AI-powered solutions for drug discovery and development, today announced the publication of a collaborative study*, " AI-driven multimodal algorithm predicts immunotherapy and ...

The artificial intelligence method was used to optimize an early cancer detection test to ensure high sensitivity and specificity.

The most successful institutions won't see artificial intelligence as merely an efficiency tool but as a responsibility to ...

Researchers have developed a new computer-aided diagnosis (CAD) system, BREAST-CAD, to improve breast cancer detection accuracy using machine learning algorithms and a real-time client-server ...

Abstract: This study proposes an innovation path prediction and decision model based on decision tree and random forest algorithm for the evolution process of dual innovation in SMEs. First, the ...

A mobile ultrasonic stratified flow velocity measurement device, which utilizes a pair of ultrasonic transducers, was characterized by its low power consumption and the ability to measure multi-layer ...

1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...

This project uses Weka to analyze the "Car Evaluation" dataset with decision trees, comparing model performance on 70/30 and 50/50 data splits. It includes accuracy, F1-scores, and decision tree ...

Introduction: The study aims to assess and compare the predictive effectiveness of football-related injuries using external load data and a decision tree classification algorithm by unidimensional ...