Results 101 to 110 of about 355,754 (301)
Small extracellular vesicles are a promising source of diagnostic molecules. We conducted a comprehensive study, including transcriptome profiling and RT‐qPCR validation on large cohorts of samples. Diagnostic panels enabling sensitive detection of colorectal cancer and precancerous lesions were established. Some molecules were differentially expressed
Petra Vychytilova‐Faltejskova+26 more
wiley +1 more source
Software that employs screening prioritization through active learning (AL) has accelerated the screening process significantly by ranking an unordered set of records by their predicted relevance. However, failing to find a relevant paper might alter the
Fionn Byrne+4 more
doaj +1 more source
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
Expectations guide predictive eye movements and information sampling during face recognition
Summary: Context information has a crucial impact on our ability to recognize faces. Theoretical frameworks of predictive processing suggest that predictions derived from context guide sampling of sensory evidence at informative locations. However, it is
Annika Garlichs+3 more
doaj
Screening 166 FDA‐approved anticancer drugs identifies the aromatase inhibitor Exemestane as a synergistic partner of PARP inhibitor Olaparib in BRCA‐proficient triple‐negative breast cancer. Exemestane induces ROS‐mediated replication stress, enhancing DNA damage and apoptosis alongside Olaparib.
Nur Aininie Yusoh+5 more
wiley +1 more source
Integration of cognitive tasks into artificial general intelligence test for large models
Summary: During the evolution of large models, performance evaluation is necessary for assessing their capabilities. However, current model evaluations mainly rely on specific tasks and datasets, lacking a united framework for assessing the ...
Youzhi Qu+12 more
doaj
RKIP, a metastasis suppressor protein, modulates key oncogenic pathways in lung adenocarcinoma. In silico analyses linked low RKIP expression to poor survival. Functional studies revealed RKIP overexpression reduces tumor aggressiveness and enhances sensitivity to EGFR‐targeted therapies, while its loss promotes resistance.
Ana Raquel‐Cunha+10 more
wiley +1 more source
Prioritized neural processing of social threats during perceptual decision-making
Summary: Emotional signals, notably those signaling threat, benefit from prioritized processing in the human brain. Yet, it remains unclear whether perceptual decisions about the emotional, threat-related aspects of stimuli involve specific or similar ...
M. El Zein+5 more
doaj
Single‐cell transcriptomics of prostate cancer patient‐derived xenografts reveals distinct features of neuroendocrine (NE) subtypes. Tumours with focal NE differentiation (NED) share transcriptional programmes with adenocarcinoma, differing from large and small cell neuroendocrine prostate cancer (NEPC). Our work defines the molecular landscape of NEPC,
Rosalia Quezada Urban+12 more
wiley +1 more source
Decrypting cancer's spatial code: from single cells to tissue niches
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