As business leaders, our instinct — when faced with unexpected risk — is to fight to control the uncontrollable. At best, it becomes an inefficient use of your limited time and talent. At worst, it ...

Computational point-of-care sensors can significantly improve access to diagnostics by enabling rapid patient testing outside ...

Elucidating information about proteins present in biological samples is vital for scientists working in the field of life sciences. Whilst qualitative data can tell us which proteins are present in a ...

The integration of AI into digital pathology has the potential to transform cancer diagnostics by enabling scalable, ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

Modern DNA/RNA sequencing technologies, known generally as “next-generation sequencing” (NGS) technologies, allow us to decode nucleic acid sequences in high throughput; therefore, much faster and ...

The accurate determination of protein concentration is a foundational requirement in molecular biology, proteomics, and clinical diagnostics. Choosing the most appropriate protein quantification ...