:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cas, Davide Dei, Di Camillo, Barbara, Fadini, Gian Paolo, Sparacino, Giovanni, Longato, Enrico
Format:	Preprint
Published:	2024
Subjects:	Quantitative Methods Machine Learning
Online Access:	https://arxiv.org/abs/2409.13743
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Tipping the Balance: Impact of Class Imbalance Correction on the Performance of Clinical Risk Prediction Models
by: Andersen, Amalie Koch, et al.
Published: (2026)

Virtual Cells: Predict, Explain, Discover
by: Noutahi, Emmanuel, et al.
Published: (2025)

Enhancing End Stage Renal Disease Outcome Prediction: A Multi-Sourced Data-Driven Approach
by: Li, Yubo, et al.
Published: (2024)

Predicting Emergency Department Visits for Patients with Type II Diabetes
by: Alizadeh, Javad M, et al.
Published: (2024)

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning
by: Chu, Soon Jynn, et al.
Published: (2025)

Beyond Glucose-Only Assessment: Advancing Nocturnal Hypoglycemia Prediction in Children with Type 1 Diabetes
by: Voegeli, Marco, et al.
Published: (2025)

Beyond Cox Models: Assessing the Performance of Machine-Learning Methods in Non-Proportional Hazards and Non-Linear Survival Analysis
by: Rossi, Ivan, et al.
Published: (2025)

Multimodal Survival Modeling and Fairness-Aware Clinical Machine Learning for 5-Year Breast Cancer Risk Prediction
by: Khatibi, Toktam
Published: (2026)

Histopathology Based AI Model Predicts Anti-Angiogenic Therapy Response in Renal Cancer Clinical Trial
by: Jasti, Jay, et al.
Published: (2024)

Disentangling History and Propagation Dependencies in Cross-Subject Knee Contact Stress Prediction Using a Shared MeshGraphNet Backbone
by: Pan, Zhengye, et al.
Published: (2026)

RxRx3-core: Benchmarking drug-target interactions in High-Content Microscopy
by: Kraus, Oren, et al.
Published: (2025)

Predicting Side Effect of Drug Molecules using Recurrent Neural Networks
by: Beaudoin, Collin, et al.
Published: (2023)

Integrating Biological-Informed Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling
by: De Carli, Stefano, et al.
Published: (2025)

Assessing High-Order Links in Cardiovascular and Respiratory Networks via Static and Dynamic Information Measures
by: Mijatovic, Gorana, et al.
Published: (2024)

Graph-Theoretic Models for the Prediction of Molecular Measurements
by: Niane, Anna, et al.
Published: (2026)

T-cell receptor specificity landscape revealed through de novo peptide design
by: Visani, Gian Marco, et al.
Published: (2025)

AZT1D: A Real-World Dataset for Type 1 Diabetes
by: Khamesian, Saman, et al.
Published: (2025)

MM-DADM: Multimodal Drug-Aware Diffusion Model for Virtual Clinical Trials
by: Shao, Qian, et al.
Published: (2025)

Multi-scale Graph Autoregressive Modeling: Molecular Property Prediction via Next Token Prediction
by: Jiang, Zhuoyang, et al.
Published: (2026)

Neural Diffusion Processes for Physically Interpretable Survival Prediction
by: Cristofoletto, Alessio, et al.
Published: (2025)

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

BAPULM: Binding Affinity Prediction using Language Models
by: Meda, Radheesh Sharma, et al.
Published: (2024)

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models
by: Souligne, Nick, et al.
Published: (2026)

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

Investigating High-Order Behaviors in Multivariate Cardiovascular Interactions via Nonlinear Prediction and Information-Theoretic Tools
by: Barà, Chiara, et al.
Published: (2025)

Loop-Diffusion: an equivariant diffusion model for designing and scoring protein loops
by: Borisiak, Kevin, et al.
Published: (2024)

A Real-Time Digital Twin for Type 1 Diabetes using Simulation-Based Inference
by: Hoang, Trung-Dung, et al.
Published: (2025)

Transformer-Based Multi-Modal Temporal Embeddings for Explainable Metabolic Phenotyping in Type 1 Diabetes
by: Khokhar, Pir Bakhsh, et al.
Published: (2026)

Can Breath Biomarkers Causally Influence Blood Glucose? Investigating VOC-Mediated Modulation in Diabetes
by: Sharma, Varsha, et al.
Published: (2026)

Causal Cellular Context Transfer Learning (C3TL): An Efficient Architecture for Prediction of Unseen Perturbation Effects
by: Scholkemper, Michael, et al.
Published: (2026)

Utilizing Sequential Information of General Lab-test Results and Diagnoses History for Differential Diagnosis of Dementia
by: Xing, Yizong, et al.
Published: (2025)

MIEO: encoding clinical data to enhance cardiovascular event prediction
by: Borghini, Davide, et al.
Published: (2025)

Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task
by: Jian, Yiren, et al.
Published: (2023)

Integrating Dynamical Systems Learning with Foundational Models: A Meta-Evolutionary AI Framework for Clinical Trials
by: Geraci, Joseph, et al.
Published: (2025)

Sequential Model for Predicting Patient Adherence in Subcutaneous Immunotherapy for Allergic Rhinitis
by: Li, Yin, et al.
Published: (2024)

SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction
by: Xu, Bohao, et al.
Published: (2024)

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

ADEP: A Novel Approach Based on Discriminator-Enhanced Encoder-Decoder Architecture for Accurate Prediction of Adverse Effects in Polypharmacy
by: Kobraei, Katayoun, et al.
Published: (2024)

Presenting DiaData for Research on Type 1 Diabetes
by: Cinar, Beyza, et al.
Published: (2025)

Endowing Protein Language Models with Structural Knowledge
by: Chen, Dexiong, et al.
Published: (2024)