Copertina

Flow Rate Independent Multiscale Liquid Biopsy for Precision Oncology

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yan, Jing, Wang, Jie, Dallmann, Robert, Lu, Renquan, Charmet, Jérôme
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Quantitative Methods
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Sample volume as a key design parameter in affinity-based biosensors
di: Beijersbergen, Daan, et al.
Pubblicazione: (2025)

Towards Precision Oncology: Predicting Mortality and Relapse-Free Survival in Head and Neck Cancer Using Clinical Data
di: Dhariwal, Naman, et al.
Pubblicazione: (2025)

Multimodal Data Integration for Precision Oncology: Challenges and Future Directions
di: Zhou, Huajun, et al.
Pubblicazione: (2024)

Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data
di: Zhuang, Luoting, et al.
Pubblicazione: (2025)

ECKO: Explainable Clinical Knowledge for Oncology
di: Silva, Marta Contreiras, et al.
Pubblicazione: (2025)

High-fidelity robotic PCR amplification
di: Beguin, Vincent, et al.
Pubblicazione: (2025)

An Inclusive Foundation Model for Generalizable Cytogenetics in Precision Oncology
di: Yang, Changchun, et al.
Pubblicazione: (2025)

PHD-MS: Multiscale Domain Identification for Spatial Transcriptomics via Persistent Homology
di: Beamer, Perry, et al.
Pubblicazione: (2025)

Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data
di: Schürch, Manuel, et al.
Pubblicazione: (2024)

Predictive Significance of CD276/B7-H3 Expression in Baseline Biopsies of Advanced Prostate Carcinoma
di: Yusuf, Adam, et al.
Pubblicazione: (2025)

Reduced-Precision Stochastic Simulation for Mathematical Biology
di: Kimpson, Tom, et al.
Pubblicazione: (2026)

Towards Precision Feeding Using Behavioral Monitoring in Marine Cages
di: Georgopoulou, Dimitra, et al.
Pubblicazione: (2024)

Karyotype AI for Precision Oncology
di: Shamsi, Zahra, et al.
Pubblicazione: (2022)

Dose-Dependent Cardiac Complexity Changes in Children Following Prenatal Glucocorticoid Exposure: Complementary Evidence from Multiscale Entropy Analysis and ECG Foundation Models
di: Garnier, Nicolas B., et al.
Pubblicazione: (2026)

Multiscale modelling of animal movement with persistent dynamics
di: Michelot, Théo, et al.
Pubblicazione: (2024)

Pharmacometrics Modeling via Physics-Informed Neural Networks: Integrating Time-Variant Absorption Rates and Fractional Calculus for Enhancing Prediction Accuracy
di: Ahmadi, Nazanin, et al.
Pubblicazione: (2024)

Drug discovery guided by maximum drug likeness
di: Zhu, Hao-Yu, et al.
Pubblicazione: (2025)

Multiscale Cross-Modal Mapping of Molecular, Pathologic, and Radiologic Phenotypes in Lipid-Deficient Clear Cell Renal CellCarcinoma
di: Cui, Ying, et al.
Pubblicazione: (2025)

Not All Accuracy Is Equal: Prioritizing Independence in Infectious Disease Forecasting
di: Dudley, Carson, et al.
Pubblicazione: (2025)

A Principal Submanifold-based Approach for Clustering and Multiscale RNA Correction
di: Wu, Menghao, et al.
Pubblicazione: (2025)

Brain Networks Flow-Topology via Variance Minimization in the Wasserstein Space
di: Dakurah, Sixtus
Pubblicazione: (2025)

STELLAR-koff: A Transfer Learning Model for Protein-Ligand Dissociation Rate Constant Prediction Based on Interaction Landscape
di: Li, Jingyuan
Pubblicazione: (2025)

TockyPrep: Data Preprocessing Methods for Flow Cytometric Fluorescent Timer Analysis
di: Ono, Masahiro
Pubblicazione: (2024)

TockyLocus: Quantitative Analysis Methods for Flow Cytometric Fluorescent Timer Data
di: Ono, Masahiro
Pubblicazione: (2024)

Heart Rate Variability Patterns Reflect Yoga Intervention in Chronically Stressed Pregnant Women: A Quasi-Randomized Controlled Trial
di: Mayer, Marlene J E, et al.
Pubblicazione: (2025)

Weak Independence and Coupled Parallelism in Biological Petri Nets
di: Simao, Eugenio
Pubblicazione: (2025)

Beyond Bayesian Inference: The Correlation Integral Likelihood Framework and Gradient Flow Methods for Deterministic Sampling
di: Gwiazda, Piotr, et al.
Pubblicazione: (2025)

Multiscale convergence of the inverse problem for chemotaxis in the Bayesian setting
di: Hellmuth, Kathrin, et al.
Pubblicazione: (2021)

Precision psychiatry: predicting predictability
di: van Dellen, Edwin
Pubblicazione: (2023)

Multimodal Radiomics Model for Predicting Gold Nanoparticles Accumulation in Mouse Tumors
di: Tang, Jiajia, et al.
Pubblicazione: (2024)

Plant and insect proteins support optimal bone growth and development; Evidences from a pre-clinical model
di: Becker, Gal, et al.
Pubblicazione: (2024)

A Causal Framework for Precision Rehabilitation
di: Cotton, R. James, et al.
Pubblicazione: (2024)

Reliability for Nerve Fiber Layer Reflectance Using Spectral Domain Optical Coherence Tomography
di: Hossain, Kabir, et al.
Pubblicazione: (2024)

The Impact of Heatwaves on Population Health: A Large Language Model-Enhanced Agent-Based Simulation
di: Liu, Yuanhao, et al.
Pubblicazione: (2026)

Quantitative and Computational Radiobiology for Precision Radiopharmaceutical Therapies
di: Yusufaly, Tahir, et al.
Pubblicazione: (2025)

INDIGENA: inductive prediction of disease-gene associations using phenotype ontologies
di: Zhapa-Camacho, Fernando, et al.
Pubblicazione: (2026)

Spatially-extended Flow Phixer (SpeF-Phixer): A Spatially Extended $φ$-Mixing Framework for Gene Regulatory Causal Inference in Spatial Gene Field
di: Nagasaka, Toru, et al.
Pubblicazione: (2025)

Advancing Gene Selection in Oncology: A Fusion of Deep Learning and Sparsity for Precision Gene Selection
di: Krishna, Akhila, et al.
Pubblicazione: (2024)

Leveraging Transformer Models to Capture Multi-Scale Dynamics in Biomolecules by nano-GPT
di: Zeng, Wenqi, et al.
Pubblicazione: (2025)

How cancer emerges: Data-driven universal insights into tumorigenesis via hallmark networks
di: Wang, Jiahe, et al.
Pubblicazione: (2025)