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NeuroAI Lab: Genomic-Phenotypic Integration for AI-Driven Cancer Therapy Optimization

Fuente: Zenodo

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Bibliographische Detailangaben
1. Verfasser:	Ceperkovic, Branislav
Format:	Recurso digital
Sprache:	Englisch
Veröffentlicht:	Zenodo 2026
Schlagworte:	Reinforcement Learning, Deep Reinforcement Learning, Precision Oncology, Cancer Therapy Optimization, Computational Oncology, Genomic Data Integration, Phenotypic Data, Multi-modal Learning, Deep Q-Network, Markov Decision Process, Personalized Medicine, Adaptive Therapy Systems Markov Decision Process (MDP) Deep Q-Network (DQN) Hindsight Experience Replay Neural Architecture Search Sequential Decision Making Computational Oncology Reinforcement Learning Deep Reinforcement Learning Precision Oncology Cancer Therapy Optimization Cancer Treatment Planning Genomic Data Analysis Personalized Medicine Cancer Biomarkers Genomic Data Integration Phenotypic Data Modeling Multi-modal Learning Clinical Data Integration AI-driven Healthcare NeuroAI Decision Support Systems Computational Medicine Adaptive Therapy Systems AI in Oncology Machine Learning in Medicine Digital Health
Online-Zugang:	Acceder al recurso
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