Results 131 to 140 of about 5,269,237 (355)

Tumor‐agnostic detection of circulating tumor DNA in patients with advanced pancreatic cancer using targeted DNA methylation sequencing and cell‐free DNA fragmentomics

open access: yesMolecular Oncology, EarlyView.
We evaluated circulating tumor DNA (ctDNA) detection in advanced pancreatic cancer using DNA methylation, cell‐free DNA fragment lengths, and 5′ end motifs. Machine learning models were trained to estimate ctDNA levels from each feature and their combination.
Morten Lapin   +10 more
wiley   +1 more source

Gut microbiota diversity is prognostic in metastatic hormone receptor‐positive breast cancer patients receiving chemotherapy and immunotherapy

open access: yesMolecular Oncology, EarlyView.
In this exploratory study, we investigated the relationship between the gut microbiota and outcome in patients with metastatic hormone receptor‐positive breast cancer, treated in a randomized clinical trial with chemotherapy alone or chemotherapy in combination with immune checkpoint blockade.
Andreas Ullern   +7 more
wiley   +1 more source

On the boundary behavior of the holomorphic sectional curvature of the Bergman metric

open access: yesLe Matematiche, 2006
We obtain a conceptually new differential geometric proof of P. F. Klembeck’s result (cf. [9]) that the holomorphic sectional curvature k g (z ) of the Bergman metric of a strictly pseudoconvex domain Ω ⊂ ℂ n approaches −4/(n + 1 ...
Elisabetta Barletta
doaj  

86. Ventilator-Associated Pneumonia in Trauma Intensive Care Unit, a Dilemma in Quality Metrics [PDF]

open access: gold, 2019
Rajendra Karnatak   +5 more
openalex   +1 more source

On flat hermitian metrics on the unit disc [PDF]

open access: yesMathematische Zeitschrift, 1970
Greene, R.E., Wu, Hung-Hsi
openaire   +2 more sources

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

open access: yesMolecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici   +8 more
wiley   +1 more source

Designing a TPMS metamaterial via deep learning and topology optimization

open access: yesFrontiers in Mechanical Engineering
Data-driven models that act as surrogates for computationally costly 3D topology optimization techniques are very popular because they help alleviate multiple time-consuming 3D finite element analyses during optimization.
Asha Viswanath   +5 more
doaj   +1 more source

Multi‐omic profiling of squamous cell lung cancer identifies metabolites and related genes associated with squamous cell carcinoma

open access: yesMolecular Oncology, EarlyView.
Using multi‐omic characterization, we aimed to identify key regulators specific to squamous cell lung carcinoma (SqCC). SqCC‐specific differentially expressed genes were integrated with metabolics data. High expression of the creatine transporter SLC6A8, along with elevated creatine levels, appeared to be a distinct metabolic feature of SqCC.
Johan Staaf   +10 more
wiley   +1 more source

Correlation of Metrical and Phonological Units of Language

open access: yesStudia Metrica et Poetica, 2015
This paper was first published in Russian (Lekomceva 1969). Margarita Ivanovna Lekomceva (b. 1935) is a distinguished Russian linguist and semiotician, member of the Tartu-Moscow School of Semiotics. Her main research fields include Slavic, Baltic, Balkan and Indo-European phonology, rhetoric and poetics.
openaire   +3 more sources

Inhibition of CDK9 enhances AML cell death induced by combined venetoclax and azacitidine

open access: yesMolecular Oncology, EarlyView.
The CDK9 inhibitor AZD4573 downregulates c‐MYC and MCL‐1 to induce death of cytarabine (AraC)‐resistant AML cells. This enhances VEN + AZA‐induced cell death significantly more than any combination of two of the three drugs in AraC‐resistant AML cells.
Shuangshuang Wu   +18 more
wiley   +1 more source

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