Buchumschlag

How Mathematical Forms of Chemotherapy and Radiotherapy Bias Model-Optimized Predictions: Implications for Model Selection

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Oh, Changin, Wilkie, Kathleen P.
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Quantitative Methods
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Mathematical Modeling of the Synergetic Effect between Radiotherapy and Immunotherapy
von: Xing, Yixun, et al.
Veröffentlicht: (2023)

Better Protein Function Prediction by Modeling Survivorship Bias
von: Chao, Zhongmou, et al.
Veröffentlicht: (2026)

Mathematical Modelling and Optimisation of Athletic Performance: Tapering and Periodisation
von: Ceddia, David, et al.
Veröffentlicht: (2025)

Understanding Immune Dynamics in Liver Transplant Through Mathematical Modeling
von: Bruner, Julia, et al.
Veröffentlicht: (2024)

Using Instruments for Selection to Adjust for Selection Bias in Mendelian Randomization
von: Gkatzionis, Apostolos, et al.
Veröffentlicht: (2022)

Boosted Random Forests for Predicting Treatment Failure of Chemotherapy Regimens
von: Shahid, Muhammad Usamah, et al.
Veröffentlicht: (2025)

A Systematic Computational Framework for Practical Identifiability Analysis in Mathematical Models Arising from Biology
von: Wang, Shun, et al.
Veröffentlicht: (2025)

Uncertainty-Guided Model Selection for Tabular Foundation Models in Biomolecule Efficacy Prediction
von: Li, Jie, et al.
Veröffentlicht: (2025)

Identifying Therapeutic Targets for Triple-Negative Breast Cancer using a Novel Mathematical Model of the Tumor Microenvironment
von: Adams, Kyle, et al.
Veröffentlicht: (2026)

Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks
von: KC, Kishan, et al.
Veröffentlicht: (2022)

KinForm: Kinetics Informed Feature Optimised Representation Models for Enzyme $k_{cat}$ and $K_{M}$ Prediction
von: Alwer, Saleh, et al.
Veröffentlicht: (2025)

Less Is More in Chemotherapy of Breast Cancer
von: Ansarizadeh, Fatemeh, et al.
Veröffentlicht: (2026)

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

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

AI-Driven Hybrid Ecological Model for Predicting Oncolytic Viral Therapy Dynamics
von: Uthamacumaran, Abicumaran, et al.
Veröffentlicht: (2025)

Integrating Pharmacokinetics and Pharmacodynamics Modeling with Quantum Regression for Predicting Herbal Compound Toxicity
von: Roosan, Don, et al.
Veröffentlicht: (2025)

Physics-Guided Surrogate Modeling for Machine Learning-Driven DLD Design Optimization
von: Islam, Khayrul, et al.
Veröffentlicht: (2025)

Project Hermes: A Model-Agnostic Validation Layer for Wearable Health Prediction Systems
von: Chakraborty, Richik
Veröffentlicht: (2026)

A computational framework for optimal and Model Predictive Control of stochastic gene regulatory networks
von: Faquir, Hamza, et al.
Veröffentlicht: (2024)

Forking Anatomy: How MorphoDepot Applies the Open-Source Development Model to 3D Digital Morphology
von: Maga, A. Murat, et al.
Veröffentlicht: (2025)

Temporal and Spacial Studies of Infectious Diseases: Mathematical Models and Numerical Solvers
von: Talha, Md Abu, et al.
Veröffentlicht: (2024)

TemPL: A Novel Deep Learning Model for Zero-Shot Prediction of Protein Stability and Activity Based on Temperature-Guided Language Modeling
von: Tan, Pan, et al.
Veröffentlicht: (2023)

Mathematical Discovery of Potential Therapeutic Targets: Application to Rare Melanomas
von: Aghaee, Mahya, et al.
Veröffentlicht: (2025)

Multicellular Tumour Spheroids Exposure to Pulsed Electric Field: A Combined Experimental and Mathematical Modelling Study Highlighting Temporal Dynamics of DAMP Release and Accelerated Regrowth at Intermediate Field Intensities
von: Leschiera, Emma, et al.
Veröffentlicht: (2026)

A Regressor-Guided Graph Diffusion Model for Predicting Enzyme Mutations to Enhance Turnover Number
von: Yu, Xiaozhu, et al.
Veröffentlicht: (2024)

Spatial Insight: How Data-Driven Regions of Interest Selection Enhances Single-Trial P300 Classification in EEG-Based BCIs
von: Guttmann-Flury, Eva, et al.
Veröffentlicht: (2025)

Mathematical Methods for Assessing the Accuracy of Pre-Planned and Guided Surgical Osteotomies
von: Nahass, George R., et al.
Veröffentlicht: (2024)

Deep Learning for Blood-Brain Barrier Permeability Prediction: From Discriminative Models to Mechanism-Aware Design
von: Yang, Zihan, et al.
Veröffentlicht: (2025)

Individualizing Glioma Radiotherapy Planning by Optimization of Data and Physics-Informed Discrete Loss
von: Balcerak, Michal, et al.
Veröffentlicht: (2023)

SynCraft: Guiding Large Language Models to Predict Edit Sequences for Molecular Synthesizability Optimization
von: Li, Junren, et al.
Veröffentlicht: (2025)

Leveraging Protein Language Model Embeddings for Catalytic Turnover Prediction of Adenylate Kinase Orthologs in a Low-Data Regime
von: Muir, Duncan F., et al.
Veröffentlicht: (2025)

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

Closed-Form Information Capacity of Canonical Signaling Models
von: Komorowski, Michał
Veröffentlicht: (2025)

Leveraging Machine Learning Models for Peptide-Protein Interaction Prediction
von: Yin, Song, et al.
Veröffentlicht: (2023)

Implication of modelling choices on connectivity estimation: A comparative analysis
von: Soret, Marie, et al.
Veröffentlicht: (2024)

Leveraging Retrieval-Augmented Generation and Large Language Models to Predict SERCA-Binding Protein Fragments from Cardiac Proteomics Data
von: Phillips, Taylor A, et al.
Veröffentlicht: (2025)

Mathematical modeling of heterogeneous stem cell regeneration: from cell division to Waddington's epigenetic landscape
von: Lei, Jinzhi
Veröffentlicht: (2023)

Strategic Control of Drug-Resistant HIV: Multi-Strain Modeling with Diagnosis, Adherence, and Treatment Switching
von: Poonia, Ashish, et al.
Veröffentlicht: (2025)

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

DREAM-B3P: Dual-Stream Transformer Network Enhanced by Feedback Diffusion Model for Blood-Brain Barrier Penetrating Peptide Prediction
von: Wang, Kaijie, et al.
Veröffentlicht: (2025)