Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Research from the University of Warwick suggests that many AI systems may be using visual shortcuts rather than true biology, ...

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

Fractal ( a publicly listed global enterprise AI company serving Fortune 500® organizations, today announced the launch of ...

"Sensing Intelligence and Machine Learning" describes the combination of artificial intelligence (AI) and machine learning (ML) approaches with sensor technologies. This fusion improves sensor ...

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

CET with a welcome from René Wolf, CEO and Managing Director of RIB Software. At 09:05 CET, Birgit Biemans, Associate Partner at McKinsey & Company, will share a global construction outlook, examining ...

New research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather than genuine biological signals. Artificial intelligence tools are ...