NOVEL CONTRIBUTIONS OF THE MULTI-MODAL DEEP LEARNING FRAMEWORK INTEGRATING MRI AND GENETIC DATA FOR ENHANCED ALZHEIMER 'S DISEASE DIAGNOSIS

Early detection of Alzheimer’s disease (AD) is crucial for timely interventions and improved patient management. This study evaluated deep learning models utilizing magnetic resonance imaging (MRI) and genetic data for early AD identification. Three c

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Published
2025-10-14
DOI
https://doi.org/10.22541/au.176043276.62525964/v1
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
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article

NOVEL CONTRIBUTIONS OF THE MULTI-MODAL DEEP LEARNING FRAMEWORK INTEGRATING MRI AND GENETIC DATA FOR ENHANCED ALZHEIMER 'S DISEASE DIAGNOSIS

Padmanabha Rao Amarachinta, KSReddy
Genetics, Bioinformatics, and Biomedical Research
article

NOVEL CONTRIBUTIONS OF THE MULTI-MODAL DEEP LEARNING FRAMEWORK INTEGRATING MRI AND GENETIC DATA FOR ENHANCED ALZHEIMER 'S DISEASE DIAGNOSIS

Padmanabha Rao Amarachinta, KSReddy
article en

Abstract

Early detection of Alzheimer’s disease (AD) is crucial for timely interventions and improved patient management. This study evaluated deep learning models utilizing magnetic resonance imaging (MRI) and genetic data for early AD identification. Three c

Advanced Numerical Research and Analysis Group (IN)
Openalex Percentile: Top 74%
Genetics, Bioinformatics, and Biomedical Research
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NOVEL CONTRIBUTIONS OF THE MULTI-MODAL DEEP LEARNING FRAMEWORK INTEGRATING MRI AND GENETIC DATA FOR ENHANCED ALZHEIMER 'S DISEASE DIAGNOSIS — Padmanabha Rao Amarachinta, KSReddy · (2025) | TGRS Research Map | TGRS