By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
ADM, Evolving Systems’ big data platform, securely stores and analyzes massive telecom data, from billing to network reports, ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...
Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
5don MSN
Machine learning model predicts serious transplant complications months before symptoms appear
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...
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