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Postoperative systemic inflammatory dysregulation and corticosteroids: a narrative review
In some patients, the inflammatory‐immune response to surgical injury progresses to a
harmful, dysregulated state. We posit that postoperative systemic inflammatory dysregulation …
harmful, dysregulated state. We posit that postoperative systemic inflammatory dysregulation …
Where nanosensors meet machine learning: Prospects and challenges in detecting Disease X
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 …
pandemic outbreak in the future. Nanosensors are attractive portable devices that can swiftly …
Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0
Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …
demands advances in materials, devices, and systems of the construction industry …
Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset
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 …
deviations are associated with complications for the mother and her offspring. However …
Recent developments in machine learning for mass spectrometry
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 …
history with several modern MS-based applications using statistical and chemometric …
Heterogeneity and transcriptome changes of human CD8+ T cells across nine decades of life
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 …
mechanisms that underlie this phenomenon are not well understood. We use single-cell …
3D molecular generative framework for interaction-guided drug design
Deep generative modeling has a strong potential to accelerate drug design. However,
existing generative models often face challenges in generalization due to limited data …
existing generative models often face challenges in generalization due to limited data …
The benefits and pitfalls of machine learning for biomarker discovery
Prospects for the discovery of robust and reproducible biomarkers have improved
considerably with the development of sensitive omics platforms that can enable …
considerably with the development of sensitive omics platforms that can enable …
Unlocking human immune system complexity through AI
Advancements in artificial intelligence (AI) have led to unprecedented success in modeling
technically challenging domains including language, audio, image and video …
technically challenging domains including language, audio, image and video …
Innate and adaptive immunity: ILC2 and Th2 cells in upper and lower airway allergic diseases
GK Scadding, GW Scadding - The Journal of Allergy and Clinical …, 2021 - Elsevier
Advances in our understanding of the immune system, with the recent discovery of a parallel
set of innate T lymphocytes, the innate lymphocytes (ILCs), have led to a reassessment of …
set of innate T lymphocytes, the innate lymphocytes (ILCs), have led to a reassessment of …