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МУЛЬТИОМИЧЕСКИЙ ИИ ДЛЯ ПЕРСОНАЛИЗИРОВАННОЙ ИНТЕНСИВНОЙ ТЕРАПИИ: ОБЗОР ЦИФРОВЫХ ДВОЙНИКОВ, CRISPR И ОБЪЯСНИМЫХ СИСТЕМ

Research Gap Matrix

Area

Current State

Gap

Opportunity

Multi-Omics

Separate analysis

Lack of integration

Unified models

AI Models

High accuracy

Low interpretability

Explainable AI

Digital Twins

Experimental

Not real-time

ICU deployment

CRISPR

Lab success

Clinical integration missing

AI-driven therapy

Drug Systems

Static rules

No personalization

RL-based systems

Security

Basic encryption

No unified framework

Blockchain + Federated Learning