Copertina

Predicting Survivability of Cancer Patients with Metastatic Patterns Using Explainable AI

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Nalela, Polycarp, Rao, Deepthi, Rao, Praveen
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Quantitative Methods Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Scalable Tool For Analyzing Genomic Variants Of Humans Using Knowledge Graphs and Machine Learning
di: Prasanna, Shivika, et al.
Pubblicazione: (2024)

Leveraging Generative AI Through Prompt Engineering and Rigorous Validation to Create Comprehensive Synthetic Datasets for AI Training in Healthcare
di: Nalela, Polycarp
Pubblicazione: (2025)

Prostate Cancer Classification Using Multimodal Feature Fusion and Explainable AI
di: Khan, Asma Sadia, et al.
Pubblicazione: (2025)

Multimodal Integration of Longitudinal Noninvasive Diagnostics for Survival Prediction in Immunotherapy Using Deep Learning
di: Yeghaian, Melda, et al.
Pubblicazione: (2024)

Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses
di: Feng, Tianshu, et al.
Pubblicazione: (2024)

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

Tackling Small Sample Survival Analysis via Transfer Learning: A Study of Colorectal Cancer Prognosis
di: Zhao, Yonghao, et al.
Pubblicazione: (2025)

Evaluating the Effectiveness of Artificial Intelligence in Predicting Adverse Drug Reactions among Cancer Patients: A Systematic Review and Meta-Analysis
di: Abdeldjouad, Fatma Zahra, et al.
Pubblicazione: (2024)

Predicting Postoperative Stroke in Elderly SICU Patients: An Interpretable Machine Learning Model Using MIMIC Data
di: Li, Tinghuan, et al.
Pubblicazione: (2025)

OmicsCL: Unsupervised Contrastive Learning for Cancer Subtype Discovery and Survival Stratification
di: Karagoz, Atahan
Pubblicazione: (2025)

A Novel Framework for Multi-Modal Protein Representation Learning
di: Zheng, Runjie, et al.
Pubblicazione: (2025)

Predicting T-Cell Receptor Specificity
di: Tu, Tengyao, et al.
Pubblicazione: (2024)

E2CB2former: Effecitve and Explainable Transformer for CB2 Receptor Ligand Activity Prediction
di: Xie, Jiacheng, et al.
Pubblicazione: (2025)

Breast Cancer Classification Using Gradient Boosting Algorithms Focusing on Reducing the False Negative and SHAP for Explainability
di: Pinheiro, João Manoel Herrera, et al.
Pubblicazione: (2024)

Quantifying Cross-Modal Interactions in Multimodal Glioma Survival Prediction via InterSHAP: Evidence for Additive Signal Integration
di: Swift, Iain, et al.
Pubblicazione: (2026)

Quantifying Circadian Desynchrony in ICU Patients and Its Association with Delirium
di: Ren, Yuanfang, et al.
Pubblicazione: (2025)

Resilient Biosecurity in the Era of AI-Enabled Bioweapons
di: Feldman, Jonathan, et al.
Pubblicazione: (2025)

CBINNS: Cancer Biology-Informed Neural Network for Unknown Parameter Estimation and Missing Physics Identification
di: Chhetri, Bishal, et al.
Pubblicazione: (2025)

From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research
di: Muneer, Amgad, et al.
Pubblicazione: (2025)

Contextual Invertible World Models: A Neuro-Symbolic Agentic Framework for Colorectal Cancer Drug Response
di: Baker, Christopher, et al.
Pubblicazione: (2026)

ECGomics: An Open Platform for AI-ECG Digital Biomarker Discovery
di: Zhang, Deyun, et al.
Pubblicazione: (2026)

MCP-AI: Protocol-Driven Intelligence Framework for Autonomous Reasoning in Healthcare
di: ElSayed, Zag, et al.
Pubblicazione: (2025)

An AI system to help scientists write expert-level empirical software
di: Aygün, Eser, et al.
Pubblicazione: (2025)

Literature Mining System for Nutraceutical Biosynthesis: From AI Framework to Biological Insight
di: Sun, Xinyang, et al.
Pubblicazione: (2025)

AI-Enabled Lung Cancer Prognosis
di: Darvish, Mahtab, et al.
Pubblicazione: (2024)

A Multimodal Foundation Model of Spatial Transcriptomics and Histology for Biological Discovery and Clinical Prediction
di: Xiang, Jinxi, et al.
Pubblicazione: (2026)

Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach
di: Gao, Ziqi, et al.
Pubblicazione: (2026)

scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction
di: Yu, Chenglei, et al.
Pubblicazione: (2026)

TrialMatchAI: An End-to-End AI-powered Clinical Trial Recommendation System to Streamline Patient-to-Trial Matching
di: Abdallah, Majd, et al.
Pubblicazione: (2025)

BioImage.IO Chatbot: A Community-Driven AI Assistant for Integrative Computational Bioimaging
di: Lei, Wanlu, et al.
Pubblicazione: (2023)

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

VirusT5: Harnessing Large Language Models to Predicting SARS-CoV-2 Evolution
di: Marathe, Vishwajeet, et al.
Pubblicazione: (2024)

UMMAN: Unsupervised Multi-graph Merge Adversarial Network for Disease Prediction Based on Intestinal Flora
di: Liu, Dingkun, et al.
Pubblicazione: (2024)

NEUBORN: The Neurodevelopmental Evolution framework Using BiOmechanical RemodelliNg
di: Baena, Nashira, et al.
Pubblicazione: (2025)

Evaluating New AI Cell Foundation Models on Challenging Kidney Pathology Cases Unaddressed by Previous Foundation Models
di: Wang, Runchen, et al.
Pubblicazione: (2025)

AI prediction of cardiovascular events using opportunistic epicardial adipose tissue assessments from CT calcium score
di: Hu, Tao, et al.
Pubblicazione: (2024)

A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion
di: Gabet, Adam, et al.
Pubblicazione: (2026)

Decoding Translation-Related Functional Sequences in 5'UTRs Using Interpretable Deep Learning Models
di: Lin, Yuxi, et al.
Pubblicazione: (2025)

A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data
di: Wei, Yuxiang, et al.
Pubblicazione: (2024)

Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder
di: Wang, Jueqi, et al.
Pubblicazione: (2025)