CMINNs: Compartment Model Informed Neural Networks -- Unlocking Drug Dynamics
Fuente:
arXiv
Saved in:
| Main Authors: | Daryakenari, Nazanin Ahmadi, Wang, Shupeng, Karniadakis, George |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pharmacometrics Modeling via Physics-Informed Neural Networks: Integrating Time-Variant Absorption Rates and Fractional Calculus for Enhancing Prediction Accuracy
by: Ahmadi, Nazanin, et al.
Published: (2024)
by: Ahmadi, Nazanin, et al.
Published: (2024)
Physics-Informed Machine Learning in Biomedical Science and Engineering
by: Ahmadi, Nazanin, et al.
Published: (2025)
by: Ahmadi, Nazanin, et al.
Published: (2025)
Integrating Biological-Informed Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling
by: De Carli, Stefano, et al.
Published: (2025)
by: De Carli, Stefano, et al.
Published: (2025)
Representation Meets Optimization: Training PINNs and PIKANs for Gray-Box Discovery in Systems Pharmacology
by: Daryakenari, Nazanin Ahmadi, et al.
Published: (2025)
by: Daryakenari, Nazanin Ahmadi, et al.
Published: (2025)
Drug Interaction Vectors Neural Network: DrIVeNN
by: Wang, Natalie, et al.
Published: (2023)
by: Wang, Natalie, et al.
Published: (2023)
Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology
by: De Florio, Mario, et al.
Published: (2024)
by: De Florio, Mario, et al.
Published: (2024)
Learning Chemotherapy Drug Action via Universal Physics-Informed Neural Networks
by: Podina, Lena, et al.
Published: (2024)
by: Podina, Lena, et al.
Published: (2024)
Predicting Side Effect of Drug Molecules using Recurrent Neural Networks
by: Beaudoin, Collin, et al.
Published: (2023)
by: Beaudoin, Collin, et al.
Published: (2023)
Drug Repurposing Using Deep Embedded Clustering and Graph Neural Networks
by: Delzer, Luke, et al.
Published: (2025)
by: Delzer, Luke, et al.
Published: (2025)
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)
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)
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)
Predicting Drug Solubility Using Different Machine Learning Methods -- Linear Regression Model with Extracted Chemical Features vs Graph Convolutional Neural Network
by: Ho, John, et al.
Published: (2023)
by: Ho, John, et al.
Published: (2023)
DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm
by: Schwarz, Kyriakos, et al.
Published: (2022)
by: Schwarz, Kyriakos, et al.
Published: (2022)
MGKAN: Predicting Asymmetric Drug-Drug Interactions via a Multimodal Graph Kolmogorov-Arnold Network
by: Fan, Kunyi, et al.
Published: (2026)
by: Fan, Kunyi, et al.
Published: (2026)
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)
SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction
by: Xu, Bohao, et al.
Published: (2024)
by: Xu, Bohao, et al.
Published: (2024)
MIN: Multi-channel Interaction Network for Drug-Target Interaction with Protein Distillation
by: Li, Shuqi, et al.
Published: (2024)
by: Li, Shuqi, et al.
Published: (2024)
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)
PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps
by: Bal, Rakesh, et al.
Published: (2023)
by: Bal, Rakesh, et al.
Published: (2023)
ICODEN: Ordinary Differential Equation Neural Networks for Interval-Censored Data
by: Wang, Haoling, et al.
Published: (2026)
by: Wang, Haoling, et al.
Published: (2026)
KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property Prediction
by: Li, Longlong, et al.
Published: (2024)
by: Li, Longlong, et al.
Published: (2024)
Dual-Pathway Fusion of EHRs and Knowledge Graphs for Predicting Unseen Drug-Drug Interactions
by: Lee, Franklin, et al.
Published: (2025)
by: Lee, Franklin, et al.
Published: (2025)
Improving Molecule Generation and Drug Discovery with a Knowledge-enhanced Generative Model
by: Malusare, Aditya, et al.
Published: (2024)
by: Malusare, Aditya, et al.
Published: (2024)
MM-DADM: Multimodal Drug-Aware Diffusion Model for Virtual Clinical Trials
by: Shao, Qian, et al.
Published: (2025)
by: Shao, Qian, et al.
Published: (2025)
Drug-Target Interaction/Affinity Prediction: Deep Learning Models and Advances Review
by: Vefghi, Ali, et al.
Published: (2025)
by: Vefghi, Ali, et al.
Published: (2025)
scPPDM: A Diffusion Model for Single-Cell Drug-Response Prediction
by: Liang, Zhaokang, et al.
Published: (2025)
by: Liang, Zhaokang, 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)
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
by: Fradkin, Philip, et al.
Published: (2024)
by: Fradkin, Philip, et al.
Published: (2024)
Sub-Clustering for Class Distance Recalculation in Long-Tailed Drug Classification
by: Su, Yujia, et al.
Published: (2025)
by: Su, Yujia, et al.
Published: (2025)
SGAC: A Graph Neural Network Framework for Imbalanced and Structure-Aware AMP Classification
by: Wang, Yingxu, et al.
Published: (2024)
by: Wang, Yingxu, et al.
Published: (2024)
scDrugMap: Benchmarking Large Foundation Models for Drug Response Prediction
by: Wang, Qing, et al.
Published: (2025)
by: Wang, Qing, et al.
Published: (2025)
Fourier-enhanced Neural Networks For Systems Biology Applications
by: Xu, Enze, et al.
Published: (2025)
by: Xu, Enze, et al.
Published: (2025)
A Morse Transform for Drug Discovery
by: Tanaka, Alexander M., et al.
Published: (2025)
by: Tanaka, Alexander M., et al.
Published: (2025)
Recent Developments in GNNs for Drug Discovery
by: Fang, Zhengyu, et al.
Published: (2025)
by: Fang, Zhengyu, et al.
Published: (2025)
From Detection to Mechanism: Cross-Attention Graph Neural Networks Enable Drug-Drug Interaction Type Prediction An Ablation Study with Acetylsalicylic Acid Validation
by: Dietrich, Juergen
Published: (2026)
by: Dietrich, Juergen
Published: (2026)
HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction
by: Liu, Bin, et al.
Published: (2024)
by: Liu, Bin, et al.
Published: (2024)
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)
Similar Items
-
Pharmacometrics Modeling via Physics-Informed Neural Networks: Integrating Time-Variant Absorption Rates and Fractional Calculus for Enhancing Prediction Accuracy
by: Ahmadi, Nazanin, et al.
Published: (2024) -
Physics-Informed Machine Learning in Biomedical Science and Engineering
by: Ahmadi, Nazanin, et al.
Published: (2025) -
Integrating Biological-Informed Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling
by: De Carli, Stefano, et al.
Published: (2025) -
Representation Meets Optimization: Training PINNs and PIKANs for Gray-Box Discovery in Systems Pharmacology
by: Daryakenari, Nazanin Ahmadi, et al.
Published: (2025) -
Drug Interaction Vectors Neural Network: DrIVeNN
by: Wang, Natalie, et al.
Published: (2023)