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Full text 2026

Multi-omics biomarkers in female fertility: from oocyte quality to endometrial receptivity and clinical translation

Liu X, Bin C, Gao Q, et al.

High-throughput omics technologies have transformed our understanding of female reproductive biology, revealing molecular interactions governing oocyte maturation, ovarian reserve, endometrial receptivity, and embryo development, yet most findings remain fragmented and insufficiently translated into clinical practice. …

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Transcriptomics
Full text 2024

Integrating Omics Data and AI for Cancer Diagnosis and Prognosis

Ozaki Y, Broughton P, Abdollahi H, et al.

Cancer is one of the leading causes of death, making timely diagnosis and prognosis very important. Utilization of AI (artificial intelligence) enables providers to organize and process patient data in a way that can lead …

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Bioinformatics Epigenetics Transcriptomics
Full text 2026

Macrophages expressing macrophage receptor with collagen structure attenuate liver fibrosis through a tissue restoration phenotype

Jerez S, Cooper SA, Yaqoob U, et al.

Liver macrophages are central in maintaining hepatic homeostasis and mediating immune responses during liver injury, including fibrosis. Macrophages may have proinflammatory or antiinflammatory properties, but which properties influence fibrosis remains unclear. To explore the role …

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Single-Cell Transcriptomics
Full text 2025

Predicting Future Respiratory Hospitalizations in Extremely Premature Neonates Using Transcriptomic Data and Machine Learning

McOmber BG, Randolph L, Lang P, et al.

<h4>Background</h4>Extremely premature neonates are at increased risk for respiratory complications, often resulting in recurrent hospitalizations during early childhood. Early identification of preterm infants at highest risk of respiratory hospitalizations could enable targeted preventive interventions. While …

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Bioinformatics Transcriptomics
Full text 2024

mosGraphGen: a novel tool to generate multi-omics signaling graphs to facilitate integrative and interpretable graph AI model development

Zhang H, Cao D, Chen Z, et al.

<h4>Motivation</h4>Multi-omics data, i.e. genomics, epigenomics, transcriptomics, proteomics, characterize cellular complex signaling systems from multi-level and multi-view and provide a holistic view of complex cellular signaling pathways. However, it remains challenging to integrate and interpret multi-omics …

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Epigenetics Transcriptomics
Full text 2025

Prognostic factors and outcomes in pediatric acute myeloid leukemia: a comprehensive bibliometric analysis of global research trends

Rao M, Luo W, Luo C, et al.

<h4>Background</h4>Pediatric AML prognosis research has advanced significantly, yet gaps in understanding genetic and molecular interactions persist. Despite improved outcomes, relapse/refractory cases and personalized treatment integration remain critical clinical challenges.<h4>Objective</h4>To analyze the global research landscape on …

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Epigenetics Transcriptomics