Results 61 to 70 of about 1,547,256 (271)

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

open access: yesMolecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima   +6 more
wiley   +1 more source

Unveiling unique protein and phosphorylation signatures in lung adenocarcinomas with and without ALK, EGFR, and KRAS genetic alterations

open access: yesMolecular Oncology, EarlyView.
Proteomic and phosphoproteomic analyses were performed on lung adenocarcinoma (LUAD) tumors with EGFR, KRAS, or EML4–ALK alterations and wild‐type cases. Distinct protein expression and phosphorylation patterns were identified, especially in EGFR‐mutated tumors. Key altered pathways included vesicle transport and RNA splicing.
Fanni Bugyi   +12 more
wiley   +1 more source

Pericytes change function depending on glioblastoma vicinity: emphasis on immune regulation

open access: yesMolecular Oncology, EarlyView.
Pericytes alter their transcriptome depending on their proximity to the tumor core. In the tumor core, pericytes display a more active state with higher communication strength but with lower immune activation potential and a shift toward extracellular matrix production.
Carolina Buizza   +5 more
wiley   +1 more source

Probabilities of counterfactuals and counterfactual probabilities

open access: yesJournal of Applied Logic, 2014
Probabilities figure centrally in much of the literature on the semantics of conditionals. I find this surprising: it accords a special status to conditionals that other parts of language apparently do not share. I critically discuss two notable 'probabilities first' accounts of counterfactuals, due to Edgington and Leitgeb.
openaire   +3 more sources

Decrypting cancer's spatial code: from single cells to tissue niches

open access: yesMolecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik   +4 more
wiley   +1 more source

The influence of ROS1 fusion partners and resistance mechanisms in ROS1‐TKI‐treated non‐small cell lung cancer patients

open access: yesMolecular Oncology, EarlyView.
This real‐world study of ROS1+ NSCLC highlights fusion diversity, treatment outcomes with crizotinib and lorlatinib, and in vitro experiments with resistance mechanisms. G2032R drives strong resistance to ROS1‐targeted TKIs, especially lorlatinib. Fusion partner location does not affect overall survival to crizotinib or lorlatinib. Findings support the
Fenneke Zwierenga   +8 more
wiley   +1 more source

Data‐driven performance metrics for neural network learning

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri   +2 more
wiley   +1 more source

An efficient strategy for producing RNA‐free Nucleocapsid protein of SARS‐CoV‐2 for biochemical and structural investigations

open access: yesFEBS Open Bio, EarlyView.
Cleavable N‐terminal Thioredoxin fusion enabled soluble expression and purification of otherwise insoluble SARS‐CoV‐2 Nucleocapsid (N) protein. A four‐step purification strategy yielded highly homogeneous, RNA‐free N protein. Binding assays showed high RNA affinity (Kd ~ 28 nm). The study will facilitate high‐resolution structural studies of N protein,
Shweta Singh, Gagan D. Gupta
wiley   +1 more source

Liver‐specific lncRNAs associated with liver cancers

open access: yesFEBS Open Bio, EarlyView.
Long non‐coding RNAs (lncRNAs) are regulatory molecules with various functions. They are more tissue‐specific than proteins and can be used as potential biomarkers, particularly in cancer diagnostics and prognosis. In this review, we have systematically compiled all lncRNAs with exclusive expression in the human liver, verified their liver specificity ...
Olga Y. Burenina   +3 more
wiley   +1 more source

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