Image de couverture de livre

Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Steinacker, Marie, Kheifetz, Yuri, Scholz, Markus
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Quantitative Methods I.6.5; J.3
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

GEESE: Genotype-aware End-to-End Spatio-temporal Embedding for Behavioral Phenotyping
par: Ding, Yiran, et autres
Publié: (2026)

An Explainable Unsupervised-to-Supervised Machine Learning Framework for Dietary Pattern Discovery Using UK National Dietary Survey Data
par: Yu, Wing Yi, et autres
Publié: (2026)

EUNIS Habitat Maps: Enhancing Thematic and Spatial Resolution for Europe through Machine Learning
par: Si-Moussi, Sara, et autres
Publié: (2025)

Enhancing mortality prediction in cardiac arrest ICU patients through meta-modeling of structured clinical data from MIMIC-IV
par: Mamatov, Nursultan, et autres
Publié: (2025)

Modeling Patient Care Trajectories with Transformer Hawkes Processes
par: Pandey, Saumya, et autres
Publié: (2026)

New methods for drug synergy prediction: a mini-review
par: Abbasi, Fatemeh, et autres
Publié: (2024)

Predicting effect of novel treatments using molecular pathways and real-world data
par: Couetoux, Adrien, et autres
Publié: (2025)

Deep learning of geometrical cell division rules
par: Durrmeyer, Alexandre, et autres
Publié: (2025)

CM-UNet: A Self-Supervised Learning-Based Model for Coronary Artery Segmentation in X-Ray Angiography
par: Challier, Camille, et autres
Publié: (2025)

Chem-PerturBridge: a harmonized compendium of small molecule perturbation transcriptomic effects
par: Szałata, Artur, et autres
Publié: (2026)

Fast Reconstruction of Exact Maxwell Dynamics from Sparse Data
par: DeGenaro, Dan, et autres
Publié: (2026)

Navigating simplicity and complexity of social-ecological systems through a dialog between dynamical systems and agent-based models
par: Radosavljevic, Sonja, et autres
Publié: (2024)

KEMP-PIP: A Feature-Fusion Based Approach for Pro-inflammatory Peptide Prediction
par: Niloy, Soumik Deb, et autres
Publié: (2026)

Good Rankings, Wrong Probabilities: A Calibration Audit of Multimodal Cancer Survival Models
par: Ghawami, Sajad
Publié: (2026)

Reversible Deep Learning for 13C NMR in Chemoinformatics: On Structures and Spectra
par: Kuhn, Stefan, et autres
Publié: (2026)

Mono- and Polyauxic Growth Kinetics: A Semi-Mechanistic Framework for Complex Biological Dynamics
par: Mockaitis, Gustavo
Publié: (2025)

Lessons Learned from Deploying Adaptive Machine Learning Agents with Limited Data for Real-time Cell Culture Process Monitoring
par: Khuat, Thanh Tung, et autres
Publié: (2025)

Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes
par: Khuat, Thanh Tung, et autres
Publié: (2024)

Forests of Uncertaint(r)ees: Using tree-based ensembles to estimate probability distributions of future conflict
par: Mittermaier, Daniel, et autres
Publié: (2025)

Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion
par: Oskouei, Soroush, et autres
Publié: (2024)

Notation-level confounding: When inconsistent molecular notations mislead chemical language models
par: Kikuchi, Yosuke, et autres
Publié: (2025)

Automated Cell Structure Extraction for 3D Electron Microscopy by Deep Learning
par: Kousaka, Jin, et autres
Publié: (2024)

DrugReasoner: Interpretable Drug Approval Prediction with a Reasoning-augmented Language Model
par: Ghaffarzadeh-Esfahani, Mohammadreza, et autres
Publié: (2025)

Layer Probing Improves Kinase Functional Prediction with Protein Language Models
par: Kumar, Ajit, et autres
Publié: (2025)

The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty
par: Hegre, Håvard, et autres
Publié: (2024)

Microscopy image reconstruction with physics-informed denoising diffusion probabilistic model
par: Li, Rui, et autres
Publié: (2023)

Autoregressive fragment-based diffusion for pocket-aware ligand design
par: Ghorbani, Mahdi, et autres
Publié: (2023)

TraXion: Rethinking Pre-training Frameworks for Mobility and Beyond
par: Hsu, Shang-Ling, et autres
Publié: (2026)

PiGRAND: Physics-informed Graph Neural Diffusion for Intelligent Additive Manufacturing
par: Uhrich, Benjamin, et autres
Publié: (2026)

Modeling Nonlinear Oscillator Networks Using Physics-Informed Hybrid Reservoir Computing
par: Shannon, Andrew, et autres
Publié: (2024)

AI-Augmented Pollen Recognition in Optical and Holographic Microscopy for Veterinary Imaging
par: Warshaneyan, Swarn S., et autres
Publié: (2025)

Automated Pollen Recognition in Optical and Holographic Microscopy Images
par: Warshaneyan, Swarn Singh, et autres
Publié: (2025)

DynaCLR: Contrastive Learning of Cellular Dynamics with Temporal Regularization
par: Hirata-Miyasaki, Eduardo, et autres
Publié: (2024)

Predicting Microbial Interactions Using Graph Neural Networks
par: Gholamzadeh, Elham, et autres
Publié: (2025)

Real-Time In Silico Modeling of Postprandial Macronutrient Kinetics: A Validated Computational Engine for Nutrition Research and Digital Health
par: Calderone, Alberto
Publié: (2026)

Implicit Neural Representations of Molecular Vector-Valued Functions
par: Lhotka, Jirka, et autres
Publié: (2025)

The Impact of Triangular-Toothed Gears on the Functionality of the Antikythera Mechanism
par: Arenas, Esteban Guillermo Szigety y Gustavo Francisco
Publié: (2025)

Genotype-Phenotype Integration through Machine Learning and Personalized Gene Regulatory Networks for Cancer Metastasis Prediction
par: Fu, Jiwei, et autres
Publié: (2025)

To Bin or not to Bin: Alternative Representations of Mass Spectra
par: de Jonge, Niek, et autres
Publié: (2025)

Novel Concepts for Agent-Based Population Modelling and Simulation: Updates from GEPOC ABM
par: Bicher, Martin, et autres
Publié: (2025)