AACR: New platform uses machine learning to predict responses in patients with lung cancer

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...
Technology Networks

AI and Machine Learning in High-Throughput Screening

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...
Reuters

Trump says presidents should not have learning disabilities, criticizes Newsom

WASHINGTON, March 16 (Reuters) - U.S. President Donald Trump on Monday said presidents should not have learning disabilities, doubling down on remarks aimed at ‌California Governor Gavin Newsom in ...
IEEE

Hierarchical Multi-Class and Multi-Label Text Classification for Crime Report: A Traditional Machine Learning Approach

Abstract: Large amounts of digital data are produced daily through society’s use of government and private companies. Digital transformation contributes to the increasing amount of structured and ...
The Lancet

Risk-stratified classification of pulmonary nodule malignancy via a machine learning model integrating imaging and cell-free DNA: a model development and validation study ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...
devdiscourse

AI detectors frequently misclassify human text as machine-generated

With artificial intelligence now playing a major role in writing, communication, and content production, a growing number of organizations, from universities to hiring agencies, are turning to AI ...
C&EN

Probing the Gate-Opening Transition in the Bacterial ClpP Peptidase Using Molecular Dynamics Simulations and Machine Learning

Preserving proteome integrity is crucial for maintaining cell viability across all kingdoms of life. The bacterial caseinolytic protease (ClpP) plays a critical role in maintaining protein homeostasis ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
Frontiers

An explainable machine learning model for predicting chronic coronary disease and identifying valuable text features

Chronic Coronary Disease (CCD) is a leading global cause of morbidity and mortality. Existing Pre-test Probability (PTP) models mainly rely on in-hospital data and clinician judgment. This study aims ...