Most research aiming at understanding the molecular foundations of life and disease has
focused on a limited set of increasingly well-known proteins while the biological functions of …

With biotechnological advancements, innovative omics technologies are constantly
emerging that have enabled researchers to access multi-layer information from the genome …

Implementing precision medicine hinges on the integration of omics data, such as
proteomics, into the clinical decision-making process, but the quantity and diversity of …

Abstract Machine learning and in particular deep learning (DL) are increasingly important in
mass spectrometry (MS)-based proteomics. Recent DL models can predict the retention …

There is an avalanche of biomedical data generation and a parallel expansion in
computational capabilities to analyze and make sense of these data. Starting with genome …

Recent technological advances in mass spectrometry promise to add single-cell proteomics
to the biologist's toolbox. Here we discuss the current status and what is needed for this …

De novo peptide sequencing, which does not rely on a comprehensive target sequence
database, provides us with a way to identify novel peptides from tandem mass spectra …

The second near-infrared (NIR-II) window is a fundamental modality for deep-tissue in vivo
imaging. However, it is challenging to synthesize NIR-II probes with high quantum yields …

Venous thromboembolism (VTE) comprising deep venous thrombosis and pulmonary
embolism is a major cause of morbidity and mortality. Short-term immobility-related …

Recent advances in efficiency and ease of implementation have rekindled interest in ion
mobility spectrometry, a technique that separates gas phase ions by their size and shape …