Integrating Biological-Informed Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling
Fuente:
arXiv
Saved in:
| Main Authors: | De Carli, Stefano, Licini, Nicola, Previtali, Davide, Previdi, Fabio, Ferramosca, Antonio |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CMINNs: Compartment Model Informed Neural Networks -- Unlocking Drug Dynamics
by: Daryakenari, Nazanin Ahmadi, et al.
Published: (2024)
by: Daryakenari, Nazanin Ahmadi, et al.
Published: (2024)
Physics-Informed Neural Networks for Biological $2\mathrm{D}{+}t$ Reaction-Diffusion Systems
by: Lavery, William, et al.
Published: (2026)
by: Lavery, William, et al.
Published: (2026)
Infinity-norm-based Input-to-State-Stable Long Short-Term Memory networks: a thermal systems perspective
by: De Carli, Stefano, et al.
Published: (2025)
by: De Carli, Stefano, et al.
Published: (2025)
Predicting Side Effect of Drug Molecules using Recurrent Neural Networks
by: Beaudoin, Collin, et al.
Published: (2023)
by: Beaudoin, Collin, et al.
Published: (2023)
Fourier-enhanced Neural Networks For Systems Biology Applications
by: Xu, Enze, et al.
Published: (2025)
by: Xu, Enze, et al.
Published: (2025)
Use of Continuous Glucose Monitoring with Machine Learning to Identify Metabolic Subphenotypes and Inform Precision Lifestyle Changes
by: Metwally, Ahmed A., et al.
Published: (2025)
by: Metwally, Ahmed A., et al.
Published: (2025)
A Physiologically-Constrained Neural Network Digital Twin Framework for Replicating Glucose Dynamics in Type 1 Diabetes
by: Roquemen-Echeverri, Valentina, et al.
Published: (2025)
by: Roquemen-Echeverri, Valentina, et al.
Published: (2025)
Optical Inversion and Spectral Unmixing of Spectroscopic Photoacoustic Images with Physics-Informed Neural Networks
by: Ter Martirosyan, Sarkis, et al.
Published: (2026)
by: Ter Martirosyan, Sarkis, et al.
Published: (2026)
Conformal Prediction in Dynamic Biological Systems
by: Portela, Alberto, et al.
Published: (2024)
by: Portela, Alberto, et al.
Published: (2024)
HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment
by: Soukarieh, Inass, et al.
Published: (2024)
by: Soukarieh, Inass, et al.
Published: (2024)
Towards Discovery of Polymers for Insulin Delivery via Physics-Grounded Agentic Workflows
by: Otun, Martins
Published: (2026)
by: Otun, Martins
Published: (2026)
Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks
by: KC, Kishan, et al.
Published: (2022)
by: KC, Kishan, et al.
Published: (2022)
A Novel Recurrent Neural Network Framework for Prediction and Treatment of Oncogenic Mutation Progression
by: Parthasarathy, Rishab, et al.
Published: (2025)
by: Parthasarathy, Rishab, et al.
Published: (2025)
Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning
by: Chu, Soon Jynn, et al.
Published: (2025)
by: Chu, Soon Jynn, et al.
Published: (2025)
minAction.net: Energy-First Neural Architecture Design -- From Biological Principles to Systematic Validation
by: Frasch, Martin G.
Published: (2026)
by: Frasch, Martin G.
Published: (2026)
Equivariant Graph Neural Operator for Modeling 3D Dynamics
by: Xu, Minkai, et al.
Published: (2024)
by: Xu, Minkai, et al.
Published: (2024)
Integrating Dynamical Systems Learning with Foundational Models: A Meta-Evolutionary AI Framework for Clinical Trials
by: Geraci, Joseph, et al.
Published: (2025)
by: Geraci, Joseph, et al.
Published: (2025)
Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction
by: Mojarrad, Fatemeh Nassajian, et al.
Published: (2024)
by: Mojarrad, Fatemeh Nassajian, et al.
Published: (2024)
Beyond Glucose-Only Assessment: Advancing Nocturnal Hypoglycemia Prediction in Children with Type 1 Diabetes
by: Voegeli, Marco, et al.
Published: (2025)
by: Voegeli, Marco, et al.
Published: (2025)
Can Breath Biomarkers Causally Influence Blood Glucose? Investigating VOC-Mediated Modulation in Diabetes
by: Sharma, Varsha, et al.
Published: (2026)
by: Sharma, Varsha, et al.
Published: (2026)
From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis
by: Lutsker, Guy, et al.
Published: (2024)
by: Lutsker, Guy, et al.
Published: (2024)
Domain-Adversarial Neural Network and Explainable AI for Reducing Tissue-of-Origin Signal in Pan-cancer Mortality Classification
by: Padron-Manrique, Cristian, et al.
Published: (2025)
by: Padron-Manrique, Cristian, et al.
Published: (2025)
TEDDY: A Family Of Foundation Models For Understanding Single Cell Biology
by: Chevalier, Alexis, et al.
Published: (2025)
by: Chevalier, Alexis, et al.
Published: (2025)
Integrating Single-Cell Foundation Models with Graph Neural Networks for Drug Response Prediction
by: Rossner, Till, et al.
Published: (2025)
by: Rossner, Till, et al.
Published: (2025)
Exploration of Hepatitis B Virus Infection Dynamics through Physics-Informed Deep Learning Approach
by: Das, Bikram, et al.
Published: (2025)
by: Das, Bikram, et al.
Published: (2025)
BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models
by: Fang, Yi, et al.
Published: (2025)
by: Fang, Yi, et al.
Published: (2025)
Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data
by: Zahoor, Sheresh, et al.
Published: (2025)
by: Zahoor, Sheresh, et al.
Published: (2025)
CellFluxRL: Biologically-Constrained Virtual Cell Modeling via Reinforcement Learning
by: Wu, Dongxia, et al.
Published: (2026)
by: Wu, Dongxia, et al.
Published: (2026)
Informing Acquisition Functions via Foundation Models for Molecular Discovery
by: Chen, Qi, et al.
Published: (2025)
by: Chen, Qi, et al.
Published: (2025)
Chaos-Free Networks are Stable Recurrent Neural Networks
by: De Carli, Stefano, et al.
Published: (2026)
by: De Carli, Stefano, et al.
Published: (2026)
Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks
by: Podina, Lena, et al.
Published: (2024)
by: Podina, Lena, et al.
Published: (2024)
Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging
by: Erbas, Ismail, et al.
Published: (2024)
by: Erbas, Ismail, et al.
Published: (2024)
Drug Interaction Vectors Neural Network: DrIVeNN
by: Wang, Natalie, et al.
Published: (2023)
by: Wang, Natalie, et al.
Published: (2023)
Biologically Disentangled Multi-Omic Modeling Reveals Mechanistic Insights into Pan-Cancer Immunotherapy Resistance
by: Tariq, Ifrah, et al.
Published: (2025)
by: Tariq, Ifrah, et al.
Published: (2025)
Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics
by: Iyengar, Aniketh, et al.
Published: (2026)
by: Iyengar, Aniketh, et al.
Published: (2026)
Molecular Odor Prediction with Harmonic Modulated Feature Mapping and Chemically-Informed Loss
by: Xie, HongXin, et al.
Published: (2025)
by: Xie, HongXin, et al.
Published: (2025)
Discovering intrinsic multi-compartment pharmacometric models using Physics Informed Neural Networks
by: Nasim, Imran, et al.
Published: (2024)
by: Nasim, Imran, et al.
Published: (2024)
Deep Neural Cellular Potts Models
by: Minartz, Koen, et al.
Published: (2025)
by: Minartz, Koen, et al.
Published: (2025)
Anticipating the Selectivity of Intramolecular Cyclization Reaction Pathways with Neural Network Potentials
by: Casetti, Nicholas, et al.
Published: (2025)
by: Casetti, Nicholas, et al.
Published: (2025)
Drug Repurposing Using Deep Embedded Clustering and Graph Neural Networks
by: Delzer, Luke, et al.
Published: (2025)
by: Delzer, Luke, et al.
Published: (2025)
Similar Items
-
CMINNs: Compartment Model Informed Neural Networks -- Unlocking Drug Dynamics
by: Daryakenari, Nazanin Ahmadi, et al.
Published: (2024) -
Physics-Informed Neural Networks for Biological $2\mathrm{D}{+}t$ Reaction-Diffusion Systems
by: Lavery, William, et al.
Published: (2026) -
Infinity-norm-based Input-to-State-Stable Long Short-Term Memory networks: a thermal systems perspective
by: De Carli, Stefano, et al.
Published: (2025) -
Predicting Side Effect of Drug Molecules using Recurrent Neural Networks
by: Beaudoin, Collin, et al.
Published: (2023) -
Fourier-enhanced Neural Networks For Systems Biology Applications
by: Xu, Enze, et al.
Published: (2025)