Is It Time For A Quantum Penetration Test?

A quantum penetration test is not an attack using quantum hardware. It is a structured evaluation of your cryptographic ...

Verdicts against social media companies carry consequences. But questions linger

Two landmark jury verdicts against social media companies have arrived at the front of a wave of lawsuits alleging that the ...

Could a blood test predict if you’ll get Alzheimer’s?

A new class of biomarker tests are able to diagnose some Alzheimer's cases. The next step would be predicting it: Here's ...

Study makes promising advances in accurately diagnosing sepsis

Doctors in Liverpool working with researchers at the Center for Trials Research at Cardiff University have identified ...
IEEE

Introducing Ensemble Machine Learning Algorithms for Automatic Test Case Generation using Learning Based Testing

Abstract: Context: Ensemble methods are powerful machine learning algorithms that combine multiple models to enhance prediction capabilities and reduce generalization errors. However, their potential ...
IEEE

A Relay-based Hybrid PSO-Jaya Algorithm for Efficient Test Redundancy Reduction

Abstract: In software development, test redundancy increases resource consumption and execution time. To address this problem, Test Redundancy Reduction (TRR) has emerged as a critical optimization ...
STAT

Removing race from kidney function algorithm helped more Black patients access transplants

Anil Oza is a general assignment reporter at STAT focused on the NIH and health equity. You can reach him on Signal at aniloza.16. Several years ago, nephrologists attempted a first-of-its-kind effort ...
BMJ

Protocol for the OPTIMSE-1 randomised clinical trial to test specialist-led identification and management of cardio-renal-metabolic-pulmonary disease in machine learning ...

Introduction People identified as higher risk by a machine learning algorithm (Future Innovations in Novel Detection of Atrial Fibrillation [FIND-AF]) are at increased risk of ...