Exploration of Hepatitis B Virus Infection Dynamics through Physics-Informed Deep Learning Approach
Fuente:
arXiv
Saved in:
| Main Authors: | Das, Bikram, Sutradhar, Rupchand, Dalal, D C |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-point Infection Dynamics of Hepatitis B in the Presence of Sub-Viral Particles
by: Sutradhar, Rupchand, et al.
Published: (2024)
by: Sutradhar, Rupchand, et al.
Published: (2024)
Exploration of Hepatitis B Virus Infection Dynamics through an Intracellular Model
by: Sutradhar, Rupchand, et al.
Published: (2023)
by: Sutradhar, Rupchand, et al.
Published: (2023)
Understanding Hepatitis B Virus Infection through Hepatocyte Proliferation and Capsid Recycling
by: Sutradhar, Rupchand, et al.
Published: (2024)
by: Sutradhar, Rupchand, et al.
Published: (2024)
Deep Learning Approaches for Blood Disease Diagnosis Across Hematopoietic Lineages
by: Bo, Gabriel, et al.
Published: (2025)
by: Bo, Gabriel, et al.
Published: (2025)
Sparsity is All You Need: Rethinking Biological Pathway-Informed Approaches in Deep Learning
by: Caranzano, Isabella, et al.
Published: (2025)
by: Caranzano, Isabella, et al.
Published: (2025)
Physics-Informed Machine Learning in Biomedical Science and Engineering
by: Ahmadi, Nazanin, et al.
Published: (2025)
by: Ahmadi, Nazanin, et al.
Published: (2025)
MC-NN: An End-to-End Multi-Channel Neural Network Approach for Predicting Influenza A Virus Hosts and Antigenic Types
by: Xu, Yanhua, et al.
Published: (2023)
by: Xu, Yanhua, et al.
Published: (2023)
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning
by: Kuang, Keying, et al.
Published: (2024)
by: Kuang, Keying, et al.
Published: (2024)
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)
FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking
by: Bini, Lorenzo, et al.
Published: (2024)
by: Bini, Lorenzo, et al.
Published: (2024)
CompassDock: Comprehensive Accurate Assessment Approach for Deep Learning-Based Molecular Docking in Inference and Fine-Tuning
by: Sarigun, Ahmet, et al.
Published: (2024)
by: Sarigun, Ahmet, et al.
Published: (2024)
Mamba-based Deep Learning Approach for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography
by: Zhang, Andrew H., et al.
Published: (2024)
by: Zhang, Andrew H., et al.
Published: (2024)
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)
Development of Machine Learning Classifiers for Blood-based Diagnosis and Prognosis of Suspected Acute Infections and Sepsis
by: Buturovic, Ljubomir, et al.
Published: (2024)
by: Buturovic, Ljubomir, et al.
Published: (2024)
Classifying the Stoichiometry of Virus-like Particles with Interpretable Machine Learning
by: Zhang, Jiayang, et al.
Published: (2025)
by: Zhang, Jiayang, 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)
Distribution Learning for Molecular Regression
by: Shoghi, Nima, et al.
Published: (2024)
by: Shoghi, Nima, et al.
Published: (2024)
Sleep Apnea Detection on a Wireless Multimodal Wearable Device Without Oxygen Flow Using a Mamba-based Deep Learning Approach
by: Luszczynski, Dominik, et al.
Published: (2025)
by: Luszczynski, Dominik, et al.
Published: (2025)
Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systems
by: Voina, Doris, et al.
Published: (2024)
by: Voina, Doris, et al.
Published: (2024)
Explainable Deep Learning Framework for SERS Bio-quantification
by: Zaki, Jihan K., et al.
Published: (2024)
by: Zaki, Jihan K., et al.
Published: (2024)
Prenatal Stress Detection from Electrocardiography Using Self-Supervised Deep Learning: Development and External Validation
by: Frasch, Martin G., et al.
Published: (2026)
by: Frasch, Martin G., et al.
Published: (2026)
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)
PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking
by: Jiang, Yize, et al.
Published: (2025)
by: Jiang, Yize, et al.
Published: (2025)
Simulation-free Structure Learning for Stochastic Dynamics
by: Rimawi-Fine, Noah El, et al.
Published: (2025)
by: Rimawi-Fine, Noah El, et al.
Published: (2025)
Deep Learning Framework for RNA Inverse Folding with Geometric Structure Potentials
by: Yao, Annabelle
Published: (2025)
by: Yao, Annabelle
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)
Physiologically Informed Deep Learning: A Multi-Scale Framework for Next-Generation PBPK Modeling
by: Liu, Shunqi, et al.
Published: (2026)
by: Liu, Shunqi, 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)
Learning Patient-Specific Spatial Biomarker Dynamics via Operator Learning for Alzheimer's Disease Progression
by: Wang, Jindong, et al.
Published: (2025)
by: Wang, Jindong, et al.
Published: (2025)
Q-MRS: A Deep Learning Framework for Quantitative Magnetic Resonance Spectra Analysis
by: Wu, Christopher J., et al.
Published: (2024)
by: Wu, Christopher J., et al.
Published: (2024)
Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model
by: Martin, Annabelle, et al.
Published: (2025)
by: Martin, Annabelle, et al.
Published: (2025)
DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images
by: Murad, Taslim, et al.
Published: (2024)
by: Murad, Taslim, et al.
Published: (2024)
BeeTLe: An Imbalance-Aware Deep Sequence Model for Linear B-Cell Epitope Prediction and Classification with Logit-Adjusted Losses
by: Yuan, Xiao
Published: (2023)
by: Yuan, Xiao
Published: (2023)
Pathway-Guided Optimization of Deep Generative Molecular Design Models for Cancer Therapy
by: Qayyum, Alif Bin Abdul, et al.
Published: (2024)
by: Qayyum, Alif Bin Abdul, et al.
Published: (2024)
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)
Automated Model-Free Sorting of Single-Molecule Fluorescence Events Using a Deep Learning Based Hidden-State Model
by: Zeng, Wenqi, et al.
Published: (2025)
by: Zeng, Wenqi, et al.
Published: (2025)
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)
Deep Neural Cellular Potts Models
by: Minartz, Koen, et al.
Published: (2025)
by: Minartz, Koen, et al.
Published: (2025)
Numerical Stability of DeepGOPlus Inference
by: Pepe, Inés Gonzalez, et al.
Published: (2022)
by: Pepe, Inés Gonzalez, et al.
Published: (2022)
Similar Items
-
Multi-point Infection Dynamics of Hepatitis B in the Presence of Sub-Viral Particles
by: Sutradhar, Rupchand, et al.
Published: (2024) -
Exploration of Hepatitis B Virus Infection Dynamics through an Intracellular Model
by: Sutradhar, Rupchand, et al.
Published: (2023) -
Understanding Hepatitis B Virus Infection through Hepatocyte Proliferation and Capsid Recycling
by: Sutradhar, Rupchand, et al.
Published: (2024) -
Deep Learning Approaches for Blood Disease Diagnosis Across Hematopoietic Lineages
by: Bo, Gabriel, et al.
Published: (2025) -
Sparsity is All You Need: Rethinking Biological Pathway-Informed Approaches in Deep Learning
by: Caranzano, Isabella, et al.
Published: (2025)