Prospects for the discovery of robust and reproducible biomarkers have improved
considerably with the development of sensitive omics platforms that can enable …

In some patients, the inflammatory‐immune response to surgical injury progresses to a
harmful, dysregulated state. We posit that postoperative systemic inflammatory dysregulation …

Deep generative modeling has a strong potential to accelerate drug design. However,
existing generative models often face challenges in generalization due to limited data …

Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …

Sepsis is a common and deadly condition. Within the current model of sepsis
immunobiology, the framing of dysregulated host immune responses into proinflammatory …

Estimating the time of delivery is of high clinical importance because pre-and postterm
deviations are associated with complications for the mother and her offspring. However …

Disease X is a hypothetical unknown disease that has the potential to cause an epidemic or
pandemic outbreak in the future. Nanosensors are attractive portable devices that can swiftly …

Statistical analysis and modeling of mass spectrometry (MS) data have a long and rich
history with several modern MS-based applications using statistical and chemometric …

Mechanistic learning refers to the synergistic combination of mechanistic mathematical
modeling and data-driven machine or deep learning. This emerging field finds increasing …

The decline of CD8+ T cell functions contributes to deteriorating health with aging, but the
mechanisms that underlie this phenomenon are not well understood. We use single-cell …