Postoperative systemic inflammatory dysregulation and corticosteroids: a narrative review

CR Bain, PS Myles, T Corcoran, JM Dieleman - Anaesthesia, 2023 - Wiley Online Library
In some patients, the inflammatory‐immune response to surgical injury progresses to a
harmful, dysregulated state. We posit that postoperative systemic inflammatory dysregulation …

Where nanosensors meet machine learning: Prospects and challenges in detecting Disease X

YX Leong, EX Tan, SX Leong, CS Lin Koh… - ACS …, 2022 - ACS Publications
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 …

Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0

XQ Wang, P Chen, CL Chow, D Lau - Matter, 2023 - cell.com
Industry 4.0 promotes the transformation of manufacturing industry to intelligence, which
demands advances in materials, devices, and systems of the construction industry …

Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset

IA Stelzer, MS Ghaemi, X Han, K Ando… - Science translational …, 2021 - science.org
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 …

Recent developments in machine learning for mass spectrometry

AG Beck, M Muhoberac, CE Randolph… - ACS Measurement …, 2024 - ACS Publications
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 …

Heterogeneity and transcriptome changes of human CD8+ T cells across nine decades of life

J Lu, R Ahmad, T Nguyen, J Cifello, H Hemani… - Nature …, 2022 - nature.com
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 …

3D molecular generative framework for interaction-guided drug design

W Zhung, H Kim, WY Kim - Nature Communications, 2024 - nature.com
Deep generative modeling has a strong potential to accelerate drug design. However,
existing generative models often face challenges in generalization due to limited data …

The benefits and pitfalls of machine learning for biomarker discovery

S Ng, S Masarone, D Watson, MR Barnes - Cell and Tissue Research, 2023 - Springer
Prospects for the discovery of robust and reproducible biomarkers have improved
considerably with the development of sensitive omics platforms that can enable …

Unlocking human immune system complexity through AI

E Berson, P Chung, C Espinosa, TJ Montine… - nature methods, 2024 - nature.com
Advancements in artificial intelligence (AI) have led to unprecedented success in modeling
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 …