Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Hospital Healthcare Europe

Machine learning-assisted mapping of VT ablation targets: progress and potential

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Frontiers

AI and Imaging for Oral Cancer Diagnosis and Prognosis

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...
IEEE

Investigation of Feature Distribution and Network Weight Updates in the Machine Unlearning Process

Abstract: Machine unlearning refers to the process of expunging previously learned information and data from a machine learning model to achieve the objective of privacy protection. In this research, ...
IEEE

Machine Learning Analysis of Heartbeat Sounds Using Weka for Classification

Abstract: Classifying heartbeat sounds is a critical step in improving cardiovascular diagnostics, especially as reliance on traditional stethoscope assessments can be limited by human subjectivity.