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Rethinking Lung Cancer Screening: AI Nodule Detection and Diagnosis Outperforms Radiologists, Leading Models, and Standards Beyond Size and Growth
Human Decision-making is Susceptible to AI-driven Manipulation
Latent plasticity of the human pancreas across development, health, and disease
bioRxiv [Preprint]. 2025 Oct 3:2025.10.01.679230. doi: 10.1101/2025.10.01.679230.
ABSTRACT
The pancreas plays a central role in major human diseases, yet our understanding of its cellular diversity and plasticity remains incomplete. Here, we present a single-cell multiomics atlas of the human pancreas, profiling over four million cells and nuclei from 57 donors across fetal development, adult homeostasis, and type 2 diabetes (T2D). Integrating sc/snRNA-seq, snATAC-seq, VASA-seq, spatial transcriptomics (Xenium), and multiplexed proteomics (CODEX), we resolve gene expression, chromatin accessibility, and spatial organization at high resolution. We identify transcriptionally plastic centroacinar-like cells (pCACs) in adults with fetal-like features, delineate endocrine and exocrine lineage trajectories during development, and uncover HNF1A-defined beta cell epigenetic states. In T2D, we observe shifts in beta cell subtypes and altered regulatory programs. Glucose perturbation of healthy islets reveals cell-type-specific adaptation and stress responses. This atlas provides a foundational framework to understand pancreas biology and the role of cellular plasticity in regeneration and disease.
PMID:41256699 | PMC:PMC12622017 | DOI:10.1101/2025.10.01.679230
CLINB: A Climate Intelligence Benchmark for Foundational Models
End to End AI System for Surgical Gesture Sequence Recognition and Clinical Outcome Prediction
Speculative Decoding in Decentralized LLM Inference: Turning Communication Latency into Computation Throughput
Author Correction: Global burden of chikungunya virus infections and the potential benefit of vaccination campaigns
Nature Medicine, Published online: 10 November 2025; doi:10.1038/s41591-025-04065-z
Author Correction: Global burden of chikungunya virus infections and the potential benefit of vaccination campaignsPublisher Correction: Deep-learning-based virtual screening of antibacterial compounds
Nature Biotechnology, Published online: 07 November 2025; doi:10.1038/s41587-025-02941-0
Publisher Correction: Deep-learning-based virtual screening of antibacterial compoundsA multimodal whole-slide foundation model for pathology
Nature Medicine, Published online: 05 November 2025; doi:10.1038/s41591-025-03982-3
Pretrained using 335,645 whole-slide images, a foundation model is developed to provide representations for slide- and patient-level tasks. It is capable of performing clinical tasks and generating reports even in data-scarce scenarios, such as rare cancer diagnosis and survival prediction, without requiring further fine-tuning.Digital Twin based Automatic Reconfiguration of Robotic Systems in Smart Environments
The Quest for Reliable Metrics of Responsible AI
Multi-omic profiling reveals age-related immune dynamics in healthy adults
Nature, Published online: 29 October 2025; doi:10.1038/s41586-025-09686-5
This multi-omic longitudinal analysis of the healthy human peripheral immune system constructs the Human Immune Health Atlas and assembles data on immune cell composition and state changes with age, including responses to cytomegalovirus infection and influenza vaccination.Dynamic Monitoring of Recurrent Ovarian Cancer Using Serial ctDNA: A Real-World Case Series
Curr Oncol. 2025 Oct 21;32(10):585. doi: 10.3390/curroncol32100585.
ABSTRACT
Recurrent ovarian cancer (OC) is challenging to detect early using current methods like CA-125 and imaging. Circulating tumor DNA (ctDNA) may improve disease monitoring. Here, we assess the real-world clinical utility of serial ctDNA analyses in patients with recurrent OC. We analyzed serial plasma samples (N = 23) from six patients with recurrent OC using a tumor-informed next-generation sequencing assay targeting 68 cancer-related genes developed at the University of Washington. ctDNA variant allele frequencies (VAFs) were correlated with CA-125 levels, radiographic findings, and clinical outcomes. ctDNA levels generally reflected clinical status, accurately mirroring disease progression and therapeutic response. In one patient, rising ctDNA preceded clinical recurrence by four months, despite normal CA-125 and imaging, highlighting its potential advantage. Conversely, some patients exhibited clinical progression with undetectable ctDNA, indicating limitations in assay sensitivity, biological factors, or metastatic sites (e.g., brain metastases). ctDNA and CA-125 showed complementary value in most cases, suggesting potential combined use in clinical monitoring. Our findings demonstrate that ctDNA is a promising biomarker to complement existing monitoring approaches for recurrent OC. In some cases, capable of predicting relapse and treatment response ahead of current clinical indicators. However, identified discordances underscore technical and biological challenges that warrant further investigation. Larger prospective studies are necessary to refine ctDNA's clinical utility and integration into personalized OC care.
PMID:41149505 | PMC:PMC12563156 | DOI:10.3390/curroncol32100585
Reduced AI Acceptance After the Generative AI Boom: Evidence From a Two-Wave Survey Study
ReXGroundingCT: A 3D Chest CT Dataset for Segmentation of Findings from Free-Text Reports
Benchmarking large language models for personalized, biomarker-based health intervention recommendations
npj Digital Medicine, Published online: 27 October 2025; doi:10.1038/s41746-025-01996-2
Benchmarking large language models for personalized, biomarker-based health intervention recommendationsA Definition of AGI
VaultGemma: A Differentially Private Gemma Model
Parity and lactation induce T cell mediated breast cancer protection
Nature, Published online: 20 October 2025; doi:10.1038/s41586-025-09713-5
Parity and lactation induce T cell mediated breast cancer protection