Normal view
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Cell
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Advancing cancer detection and treatment using longitudinal routine clinical data
Liu et al. develop Oncoformer, a multimodal transformer that reads routine laboratory tests and chest X-rays already collected in everyday care. Across more than 3.6 million individuals, it detects cancer, infers tumor stage, and stratifies treatment response and recurrence risk, pointing toward risk-adapted cancer care built on data already in hand.
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(Multiomics OR Omics) AND (Lung OR gastric OR Hepatocellular)
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Gut dysbiosis, metabolic signals, and pulmonary immune reprogramming: decoding the gut microbiota -immune axis in stroke-associated pneumonia
Front Immunol. 2026 Aug 27;17:1812306. doi: 10.3389/fimmu.2026.1812306. eCollection 2026.ABSTRACTStroke-associated pneumonia (SAP) is the most common infectious complication following acute stroke. The limited efficacy of conventional antimicrobial therapy suggests that SAP may be fundamentally a syndrome driven by dysregulated cross-system interactions. This review proposes the "gut microbiota-immune axis" (GMIA) as a comprehensive framework for the development of SAP and systematically discuss
Gut dysbiosis, metabolic signals, and pulmonary immune reprogramming: decoding the gut microbiota -immune axis in stroke-associated pneumonia
Front Immunol. 2026 Aug 27;17:1812306. doi: 10.3389/fimmu.2026.1812306. eCollection 2026.
ABSTRACT
Stroke-associated pneumonia (SAP) is the most common infectious complication following acute stroke. The limited efficacy of conventional antimicrobial therapy suggests that SAP may be fundamentally a syndrome driven by dysregulated cross-system interactions. This review proposes the "gut microbiota-immune axis" (GMIA) as a comprehensive framework for the development of SAP and systematically discusses the potential mechanisms by which post-stroke microbial-derived metabolic signals-including short-chain fatty acids (SCFAs), bile acids, tryptophan metabolites, and endotoxins-drive systemic immune reprogramming, predisposing patients to SAP. Based on the GMIA, we highlight several promising intervention strategies, including dietary modulation, precision antibiotic use, probiotics, fecal microbiota transplantation (FMT), supplementation with microbial metabolites, and receptor-targeted therapies, and summarize the current clinical translation related to the GMIA. Future research directions require high-quality clinical trials that integrate multi-omics data from the microbiome with immune biomarkers and clinical parameters. Such an approach is essential for constructing validated risk stratification models and advancing the management of SAP from empirical anti-infective treatment toward a precision medicine model centered on GMIA-based immune modulation.
PMID:42724580 | PMC:PMC13560329 | DOI:10.3389/fimmu.2026.1812306
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Nature Biomedical Engineering
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Developmental deviations of association-network structural connectivity in youths with ADHD predict symptom and treatment outcomes
Nature Biomedical Engineering, Published online: 31 August 2026; doi:10.1038/s41551-026-01779-4This large-scale study of white matter structural connectivity during development reveals biomarkers associated with attention deficit hyperactivity disorder in youth that track symptom trajectories and predict differential treatment response.
Developmental deviations of association-network structural connectivity in youths with ADHD predict symptom and treatment outcomes
Nature Biomedical Engineering, Published online: 31 August 2026; doi:10.1038/s41551-026-01779-4
This large-scale study of white matter structural connectivity during development reveals biomarkers associated with attention deficit hyperactivity disorder in youth that track symptom trajectories and predict differential treatment response.-
Cell
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Skin-innervating glutamatergic neurons modulate aging
Within the skin, glutamatergic neurons expressing neurofilament heavy chain (Nefh) play a role in aging. Loss of Nefh during aging drives skin fibroblast senescence and collagen loss, whereas glutamate supplementation improves skin aging phenotypes.
Skin-innervating glutamatergic neurons modulate aging
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Pulmonary nodule
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Macrophage spatiotemporal plasticity in pulmonary diseases: decoding the niche at single-cell resolution
Front Immunol. 2026 Jun 18;17:1855906. doi: 10.3389/fimmu.2026.1855906. eCollection 2026.ABSTRACTPulmonary gas exchange and host defense depend on the dynamic coordination of resident and recruited macrophage populations. Historically, macrophage functions have often been interpreted through the classic M1/M2 dichotomy; however, this binary framework does not capture the heterogeneity and context-dependent plasticity of macrophage states within the lung microenvironment. Advances in single-cell
Macrophage spatiotemporal plasticity in pulmonary diseases: decoding the niche at single-cell resolution
Front Immunol. 2026 Jun 18;17:1855906. doi: 10.3389/fimmu.2026.1855906. eCollection 2026.
ABSTRACT
Pulmonary gas exchange and host defense depend on the dynamic coordination of resident and recruited macrophage populations. Historically, macrophage functions have often been interpreted through the classic M1/M2 dichotomy; however, this binary framework does not capture the heterogeneity and context-dependent plasticity of macrophage states within the lung microenvironment. Advances in single-cell RNA sequencing and spatial multi-omics have substantially refined our understanding of this complex macrophage network. Here, we synthesize evidence from human studies and experimental models to summarize macrophage functional states in homeostasis and across chronic obstructive pulmonary disease, asthma, idiopathic pulmonary fibrosis, pulmonary hypertension, acute lung injury/acute respiratory distress syndrome, and lung cancer. We highlight how macrophage transcriptional programs are shaped by ontogeny, tissue niche, and epigenetic-metabolic regulation, and how these programs are linked to disease-specific remodeling of the pulmonary microenvironment. Across diverse respiratory diseases, persistent tissue injury and microenvironmental stress remodel resident macrophage programs and are frequently accompanied by the expansion and context-dependent differentiation of recruited monocyte-derived macrophages. These macrophage states are associated with inflammatory amplification, epithelial and endothelial barrier dysfunction, extracellular matrix remodeling, and tumor immune evasion. Ligand-receptor and spatial analyses further identify candidate communication axes linking macrophages with stromal, epithelial, endothelial, and immune cells, some of which appear partially conserved across disease contexts. Emerging macrophage-targeted strategies are increasingly being explored beyond broad depletion, with growing interest in context-specific reprogramming and niche modulation, including antibody-based, nanocarrier-mediated, and engineered-cell approaches. Decoding the spatiotemporal trajectories and cell-cell communication networks of specific macrophage subsets, while considering tissue context, species differences, and levels of experimental support, may help clarify mechanisms of tissue remodeling, therapeutic resistance, and macrophage-targeted intervention in complex pulmonary diseases.
PMID:42396453 | PMC:PMC13322945 | DOI:10.3389/fimmu.2026.1855906
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Nature - Issue - nature.com science feeds
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De novo design of miniproteins targeting GPCRs
Nature, Published online: 21 May 2026; doi:10.1038/s41586-026-10656-8De novo design of miniproteins targeting GPCRs
De novo design of miniproteins targeting GPCRs
Nature, Published online: 21 May 2026; doi:10.1038/s41586-026-10656-8
De novo design of miniproteins targeting GPCRs-
Oncogene - Issue - nature.com science feeds
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circPARPBP promotes cancer stemness and chemoresistance in triple-negative breast cancer through recruiting SRCAP complex to activate CCL20 transcription
Oncogene, Published online: 21 May 2026; doi:10.1038/s41388-026-03819-4circPARPBP promotes cancer stemness and chemoresistance in triple-negative breast cancer through recruiting SRCAP complex to activate CCL20 transcription
circPARPBP promotes cancer stemness and chemoresistance in triple-negative breast cancer through recruiting SRCAP complex to activate CCL20 transcription
Oncogene, Published online: 21 May 2026; doi:10.1038/s41388-026-03819-4
circPARPBP promotes cancer stemness and chemoresistance in triple-negative breast cancer through recruiting SRCAP complex to activate CCL20 transcription-
Nature - Issue - nature.com science feeds
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Clinical application of base editing for treating β-thalassaemia
Nature, Published online: 08 April 2026; doi:10.1038/s41586-026-10342-9A clinical phase 1 trial of a single infusion of CS-101, CD34+ cells modified using a transformer base editor to reactivate fetal haemoglobin production, led to early and enduring transfusion independence in patients with β-thalassaemia.
Clinical application of base editing for treating β-thalassaemia
Nature, Published online: 08 April 2026; doi:10.1038/s41586-026-10342-9
A clinical phase 1 trial of a single infusion of CS-101, CD34+ cells modified using a transformer base editor to reactivate fetal haemoglobin production, led to early and enduring transfusion independence in patients with β-thalassaemia.-
npj Digital Medicine
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Integrating large language models for enhanced predictive analytics in healthcare
npj Digital Medicine, Published online: 02 April 2026; doi:10.1038/s41746-026-02572-yIntegrating large language models for enhanced predictive analytics in healthcare
Integrating large language models for enhanced predictive analytics in healthcare
npj Digital Medicine, Published online: 02 April 2026; doi:10.1038/s41746-026-02572-y
Integrating large language models for enhanced predictive analytics in healthcare-
Nature - Issue - nature.com science feeds
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Structure of the mouse cytoplasmic lattice
Nature, Published online: 31 March 2026; doi:10.1038/s41586-026-10442-6Structure of the mouse cytoplasmic lattice
Structure of the mouse cytoplasmic lattice
Nature, Published online: 31 March 2026; doi:10.1038/s41586-026-10442-6
Structure of the mouse cytoplasmic lattice-
cs.AI, q-bio.NC updates on arXiv.org
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MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference
arXiv:2601.19961v3 Announce Type: replace-cross Abstract: We present MeanCache, a training-free caching framework for efficient Flow Matching inference. Existing caching methods reduce redundant computation but typically rely on instantaneous velocity information (e.g., feature caching), which often leads to severe trajectory deviations and error accumulation under high acceleration ratios. MeanCache introduces an average-velocity perspective: by leveraging cached Jacobian--vector products (JVP
MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference
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cs.AI, q-bio.NC updates on arXiv.org
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MOTIF: Learning Action Motifs for Few-shot Cross-Embodiment Transfer
arXiv:2602.13764v1 Announce Type: cross Abstract: While vision-language-action (VLA) models have advanced generalist robotic learning, cross-embodiment transfer remains challenging due to kinematic heterogeneity and the high cost of collecting sufficient real-world demonstrations to support fine-tuning. Existing cross-embodiment policies typically rely on shared-private architectures, which suffer from limited capacity of private parameters and lack explicit adaptation mechanisms. To address th