Current achievements and applications of transcriptomics in personalized cancer medicine

S Supplitt, P Karpinski, M Sasiadek… - International Journal of …, 2021 - mdpi.com
Over the last decades, transcriptome profiling emerged as one of the most powerful
approaches in oncology, providing prognostic and predictive utility for cancer management …

[HTML][HTML] Gut microbiota mediates intermittent-fasting alleviation of diabetes-induced cognitive impairment

Z Liu, X Dai, H Zhang, R Shi, Y Hui, X Jin… - Nature …, 2020 - nature.com
Cognitive decline is one of the complications of type 2 diabetes (T2D). Intermittent fasting
(IF) is a promising dietary intervention for alleviating T2D symptoms, but its protective effect …

Making complex measurements of meat composition fast: Application of rapid evaporative ionisation mass spectrometry to measuring meat quality and fraud

A Ross, C Brunius, O Chevallier, G Dervilly, C Elliott… - Meat science, 2021 - Elsevier
Increasing demands are being placed on meat producers to verify more about their product
with regards to safety, quality and authenticity. There are many methods that can detect …

A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique

F Shen, X Zhao, G Kou, FE Alsaadi - Applied Soft Computing, 2021 - Elsevier
In recent years, research has found that in many credit risk evaluation domains, deep
learning is superior to traditional machine learning methods and classifier ensembles …

[HTML][HTML] Quantifying scattering characteristics of mangrove species from Optuna-based optimal machine learning classification using multi-scale feature selection and …

B Fu, Y Liang, Z Lao, X Sun, S Li, H He, W Sun… - International Journal of …, 2023 - Elsevier
Mangroves play a significant role in carbon sequestration and storage. Mapping mangrove
species and monitoring their conditions have been a crucial issue for achieving sustainable …

[HTML][HTML] Obesity impairs short-term and working memory through gut microbial metabolism of aromatic amino acids

M Arnoriaga-Rodriguez, J Mayneris-Perxachs… - Cell metabolism, 2020 - cell.com
The gut microbiome has been linked to fear extinction learning in animal models. Here, we
aimed to explore the gut microbiome and memory domains according to obesity status. A …

Early prediction of mortality risk among patients with severe COVID-19, using machine learning

C Hu, Z Liu, Y Jiang, O Shi, X Zhang… - International journal …, 2020 - academic.oup.com
Abstract Background Coronavirus disease 2019 (COVID-19), caused by severe acute
respiratory syndrome coronavirus 2 infection, has been spreading globally. We aimed to …

Metabolic perturbation associated with COVID-19 disease severity and SARS-CoV-2 replication

S Krishnan, H Nordqvist, AT Ambikan, S Gupta… - Molecular & Cellular …, 2021 - ASBMB
Viruses hijack host metabolic pathways for their replicative advantage. In this study, using
patient-derived multiomics data and in vitro infection assays, we aimed to understand the …

Prognostic tools and candidate drugs based on plasma proteomics of patients with severe COVID-19 complications

MAY Al-Nesf, HB Abdesselem, I Bensmail… - Nature …, 2022 - nature.com
COVID-19 complications still present a huge burden on healthcare systems and warrant
predictive risk models to triage patients and inform early intervention. Here, we profile 893 …

Serum metabolomics identifies dysregulated pathways and potential metabolic biomarkers for hyperuricemia and gout

X Shen, C Wang, N Liang, Z Liu, X Li… - Arthritis & …, 2021 - Wiley Online Library
Objective To systematically profile metabolic alterations and dysregulated metabolic
pathways in hyperuricemia and gout, and to identify potential metabolite biomarkers to …