Results 181 to 190 of about 406 (260)
The Prediction of Pre‐Eclampsia Using Low Fetal Fraction in a Machine Learning Model
ABSTRACT Objective To investigate the association between low fetal fraction (FF) in non‐invasive prenatal testing (NIPT) and pregnancy complications or adverse pregnancy outcomes. Methods Sixty‐four pregnant women undergoing NIPT at the Second Affiliated Hospital of Wenzhou Medical University between 13 June 2019 and 6 January 2023 had an initial NIPT
Jinyuan Wang +9 more
wiley +1 more source
Multidimensional scaling analysis of virus diseases. [PDF]
Lopes AM +2 more
europepmc +1 more source
Trees in cities provide a great number of benefits to people and nature, but they are challenged by harsh conditions. Trees rely on helpful fungi in their roots to get essential nutrients from the soil, but we do not know which of these fungi are resistant to city landscapes.
Casper T. Verbeek +2 more
wiley +1 more source
Digitalising biodiversity: Exploring perceptions on risks and opportunities
Digitalisation is transforming biodiversity conservation, offering new opportunities for research, governance and public engagement. Herbarium digitisation, for example, enables large‐scale access to plant data, supporting conservation, restoration and sustainable use.
Björn‐Ola Linnér +9 more
wiley +1 more source
Varroa destructor mites exposed to dsRNA specific in sequence to a V. destructor calmodulin gene significantly effected gene expression of adult female mites sampled 5 days after entering a honey bee brood cell to reproduce. Significantly down‐regulated genes included Calmodulin and were associated with calcium ion binding and embryo developmental ...
Zoe E Smeele +10 more
wiley +1 more source
This article reports the first genome sequence of a UK Alternaria brassicae isolate. Dual RNA‐sequencing profiling of A. brassicae‐infected Brassica juncea leaves identified differentially expressed genes involved in pathogenicity and host response pathways in moderately resistant Sej‐2 (2) and moderately susceptible Pusa Jaikisan cultivars.
Kevin M. King +6 more
wiley +1 more source
This study employs an AI‐driven multidisciplinary approach to increase our understanding of the toxicological effects of sublethal concentrations of carlina oxide on Prostephanus truncatus. Sublethal exposure to the carlina oxide induced changes in motor patterns and thigmotaxis, highlighting its potential role in integrated pest management strategies.
Anita Casadei +9 more
wiley +1 more source
Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma
ABSTRACT 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 disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou +4 more
wiley +1 more source
Baicalin restores the hypoglycemic effect of metformin by decreasing the serum imidazole propionate. ABSTRACT Gut microbiota dysbiosis is implicated in metformin non‐response. This study aimed to investigate whether baicalin, a microbiota‐modulating flavonoid derived from Radix Scutellariae, could restore metformin sensitivity and explored the ...
Aiting Wang +5 more
wiley +1 more source
The endangered tri‐spine horseshoe crab (Tachypleus tridentatus), a “living fossil” crucial to coastal ecology and biomedical research, is experiencing severe population declines. Effective conservation requires efficient monitoring, which traditional methods cannot deliver at scale. We develop an integrated UAV deep learning framework tailored to this
Xiaohai Chen +7 more
wiley +1 more source

