Results 81 to 90 of about 2,712,400 (306)

The pyruvate generator is a common phenomenon in mitochondria from different rat and mouse brain regions

open access: yesFEBS Letters, EarlyView.
The pyruvate generator, which causes activation of respiration by extra‐mitochondrial Ca2+, is also present and functional in rat brainstem mitochondria, as it is in other brain regions. This finding is confirmed by experiments with a fully reconstituted malate–aspartate shuttle (MAS).
Grazyna Debska‐Vielhaber   +7 more
wiley   +1 more source

A bivariate mixed model approach for the analysis of plant survival data

open access: yes, 2013
Disease resistance is often measured as plant survival, which involves taking multiple counts of plants before and after disease incidence. Often, survival data are analyzed by forming a single derived variable, namely final counts expressed as a ...
Beeck, C.   +10 more
core   +1 more source

Risk scoring model for lung adenocarcinoma based on PD-L1 related signature reveals prognostic predictability and correlation with tumor immune microenvironment genes was constructed

open access: yesFrontiers in Immunology
BackgroundImmunotherapy has recently become a hot topic in the field of oncology, with PD-L1 playing a crucial role in this area. However, the research on PD-L1 correlation prediction models is not fully understood.
Meng Li-Fei   +5 more
doaj   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

open access: yesMolecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Weibull nueural network survival models with frailty effects

open access: yes, 2023
Determining the exact relationship between features, including interaction and non-linear effects, and event times in traditional semi-parameteric and parametric survival analysis models can be difficult.
Kinghorn, Sam
core  

Meal Pattern Variables and 15-Year Mortality: Results from the Gothenburg H70 Birth Cohort Studies, Sweden

open access: yesFood & Nutrition Research
Background: Dietary habits throughout life significantly influence health in old age; yet, little is known about the relationship between meal pattern and mortality among older adults.
Emmalee Gisslevik   +4 more
doaj   +1 more source

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

open access: yesMolecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge   +17 more
wiley   +1 more source

Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

open access: yesCPT: Pharmacometrics & Systems Pharmacology
We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented ...
Kevin Atsou   +4 more
doaj   +1 more source

Using machine learning methods to investigate the impact of comorbidities and clinical indicators on the mortality rate of COVID-19

open access: yesFrontiers in Medical Technology
BackgroundThis study aims to develop a machine learning model to predict the 30-day mortality risk of hospitalized COVID-19 patients while leveraging federated learning to enhance data privacy and expand the model's applicability.
Yueh-Chen Hsieh   +8 more
doaj   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

open access: yesMolecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel   +6 more
wiley   +1 more source

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