Results 61 to 70 of about 1,084,291 (346)
Molecular 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
Targeting of PTP4A3 overexpression sensitises HGSOC cells towards chemotherapeutic drugs
Molecular Oncology, EarlyView.In HGSOC with normal KRAS expression, high PTP4A3 expression regulates autophagy activation. Conversely, in HGSOC with high KRAS expression, KRAS dictates autophagy control, and PTP4A3 is not required. When high PTP4A3 expression is inhibited, HGSOC cells are preferentially sensitised towards DNA‐damaging agents.
Ana López‐Garza +3 more
wiley +1 more source
Decrypting cancer's spatial code: from single cells to tissue niches
Molecular 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
Identification of Lagged Duration Dependence in Multiple Spells Competing Risks Models [PDF]
We show non-parametric identification of lagged duration dependence in mixed proportional hazard models for duration data, in the presence of competing risks and consecutive spells.
Guillaume HORNY, Matteo PICCHIO
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Molecular Oncology, EarlyView.A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira +14 more
wiley +1 more source
Application of Competing Risks Models to Credit Risk Assessment
Problemy Zarządzania, 2017 Credit risk arises from the debtor’s possible failure to meet the terms and conditions of the credit contract. As a result, the bank does not receive a particular payment stipulated by the contractual provisions.
Ewa Wycinka
doaj +1 more source
Unemployment Duration: Competing and Defective Risks [PDF]
This paper examines the determinants of unemployment duration in the framework of a competing risks model, where the destination states are employment and inactivity.
John T. Addison, Pedro Portugal
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Decision Tree for Competing Risks Survival Probability in Breast Cancer Study [PDF]
, 2008 Competing risks survival data that comprises of more than one type of event has been used in many applications, and one of these is in clinical study (e.g. in breast cancer study).
Abdul Kudus, Aminuddin +3 more
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Protein O‐glycosylation in the Bacteroidota phylum
FEBS Open Bio, EarlyView.Species of the Bacteroidota phylum exhibit a unique O‐glycosylation system. It modifies noncytoplasmic proteins on a specific amino acid motif with a shared glycan core but a species‐specific outer glycan. A locus of multiple glycosyltransferases responsible for the synthesis of the outer glycan has been identified.
Lonneke Hoffmanns +2 more
wiley +1 more source
Competing risks survival modelling of childhood caries [PDF]
The survival of primary molar teeth to caries was investigated using data from a cohort study of 2,654 children aged ~5 years at baseline, undertaken by Cardiff University School of Dentistry in 1999 ...
Stephenson, John
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