The metabolome, the collection of small-molecule chemical entities involved in metabolism,
has traditionally been studied with the aim of identifying biomarkers in the diagnosis and …

Metabolomics is a dynamic tool for elucidating biochemical changes in human health and
disease. Metabolic profiles provide a close insight into physiological states and are highly …

Biological processes (like microbial growth & physiological response) are usually dynamic
and require the monitoring of metabolic variation at different time-points. Moreover, there is …

California operates a large forest carbon offsets program that credits carbon stored in forests
across the continental United States and parts of coastal Alaska. These credits can be sold …

Introduction: Artificial intelligence (AI) and machine learning (ML) are increasingly used in
many aspects of drug discovery. Larger data sizes and methods such as Deep Neural …

Cloud computing has emerged as a transformative force in healthcare and biomedical
sciences, offering scalable, on-demand resources for managing vast amounts of data. This …

Deep learning is transforming the analysis of biological images, but applying these models
to large datasets remains challenging. Here we describe the DeepCell Kiosk, cloud-native …

The 'inverse problem'of mass spectrometric molecular identification ('given a mass spectrum,
calculate/predict the 2D structure of the molecule whence it came') is largely unsolved, and …

Nuclear magnetic resonance (NMR) spectroscopy is an important analytical technique in
metabolomics. Because it provides atomic-level detail of small molecules, NMR is …

The holistic characterisation of the human internal chemical exposome using high-resolution
mass spectrometry (HRMS) would be a step forward to investigate the environmental …