Biophysics & Systems Biology · Life Sciences
Tissues & Organs
The newest papers in Tissues & Organs that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
10 papers, from 18 September 2026 to 29 October 2026: 10 arXiv preprints.
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Newest papers
Morpheus.AI: agents autonomously generate, execute and refine virtual tissue models
Virtual tissue models link observations to mechanistic hypotheses, but building them demands expertise in biology, mathematics and programming.Regional prediction of hematoma expansion from non-contrast computed tomography in spontaneous intracerebral hemorrhage patients
Background The combination of hematoma location, expansion and final volume influence neurological outcome.GliomaINK: A Tumor and Anatomy Conditioned Flow Matching Framework for 3D MRI Sequence Synthesis in Glioma Patients
Incomplete multiparametric MR examinations limit glioma characterization and downstream AI tools.Hybrid Context Forests and Bilateral Viterbi Matching for 3D Rib Centerline Tracing in CT
Automatic extraction and anatomical numbering (R01-R12, L01-L12) of all 24 rib centerlines in thoracic CT is essential for unfolded rib visualization, fracture detection, and surgical navigation…MP-MNCA: Morphology-Prior Masked Neighbor Cross-Attention for Efficient Spatial Domain Identification
Spatial transcriptomics jointly captures molecular state, tissue morphology, and spatial organization, yet spatial-domain methods are typically compared only at late training checkpoints, obscuring…End-to-End Autonomous Recursive Arborescence Deformable Flow and Non-Linear Hemodynamics for Patient-Specific Coronary Centerline Extraction
Extracting patient-specific vascular trees from volumetric medical images is fundamental to computational angiography and non-invasive hemodynamic assessment.Image-Based Breast Implant Detection for Mammography Dataset Curation and Near-Real-Time Deployment: Comparing Foundation Models and Task-Specific Convolutional Models
To evaluate the performance-feasibility tradeoffs of foundation models (FMs) and task-specific convolutional neural networks (CNNs) trained from scratch for breast implant classification in 2D…Structured Population Models for Follicular Development
Ovarian follicle development has been modeled either by compartmental models, where developmental stages are represented by discrete compartments, or by physiologically structured population models…Physiologically Informed Digital Auscultation for Pneumonia Detection in Long-term Care Residents
Pneumonia is difficult to diagnose in older long-term care residents; multimorbidity and atypical presentations obscure signs, motivating operationally efficient objective testing.Learning Cardiac Features: ECG Biometrics Across Time and~Exercise
Electrocardiograms (ECGs) carry subject-specific patterns enabling reliable individual discrimination, forming the basis of ECG biometrics.