AlzAware: A Comprehensive Online Resource for Alzheimer’s Awareness and Support

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly impacts cognitive functions, often leading to memory loss and behavioral changes. Early detection is crucial for effective intervention and management. AlzAware, a comprehensive online platform, offers an innovative approach for the detection of Alzheimer's disease using cutting-edge diagnostic technologies such as Functional Magnetic Resonance Imaging (fMRI), Electroencephalogram (EEG), and advanced neurological diagnostics. Through the integration of pattern recognition algorithms and data-driven analysis, AlzAware provides an accurate and accessible tool for detecting AD at its earliest stages. The platform utilizes fMRI to visualize brain activity, EEG to analyze electrical patterns in neural activity, and sophisticated machine learning techniques to identify early signs of neurodegenerative conditions. By offering a non-invasive, user-friendly solution, AlzAware aims to improve the accuracy of Alzheimer’s diagnosis and provide valuable support for both clinicians and individuals at risk of developing Alzheimer’s disease. This paper discusses the underlying technologies behind AlzAware, its potential for enhancing diagnostic precision, and its role in advancing the fight against Alzheimer's disease. Keywords - fMRI (Functional Magnetic Resonance), Imaging, EEG (Electroencephalogram), Neurological Diagnostics, Neurodegenerative Conditions, Pattern Recognition.

Authors

Institutions

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-06
DOI
https://doi.org/10.55041/ijsrem43940
Citations
1
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
2.94
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AlzAware: A Comprehensive Online Resource for Alzheimer’s Awareness and Support

Basavaraj Aland, Korlapati Himaja
1 citations
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Artificial Intelligence in Healthcare
2.94
article

AlzAware: A Comprehensive Online Resource for Alzheimer’s Awareness and Support

Basavaraj Aland, Korlapati Himaja
article en
1 citations

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly impacts cognitive functions, often leading to memory loss and behavioral changes. Early detection is crucial for effective intervention and management. AlzAware, a comprehensive online platform, offers an innovative approach for the detection of Alzheimer's disease using cutting-edge diagnostic technologies such as Functional Magnetic Resonance Imaging (fMRI), Electroencephalogram (EEG), and advanced neurological diagnostics. Through the integration of pattern recognition algorithms and data-driven analysis, AlzAware provides an accurate and accessible tool for detecting AD at its earliest stages. The platform utilizes fMRI to visualize brain activity, EEG to analyze electrical patterns in neural activity, and sophisticated machine learning techniques to identify early signs of neurodegenerative conditions. By offering a non-invasive, user-friendly solution, AlzAware aims to improve the accuracy of Alzheimer’s diagnosis and provide valuable support for both clinicians and individuals at risk of developing Alzheimer’s disease. This paper discusses the underlying technologies behind AlzAware, its potential for enhancing diagnostic precision, and its role in advancing the fight against Alzheimer's disease. Keywords - fMRI (Functional Magnetic Resonance), Imaging, EEG (Electroencephalogram), Neurological Diagnostics, Neurodegenerative Conditions, Pattern Recognition.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
GITAM University (IN)
Openalex Percentile: Top 10%
Artificial Intelligence in Healthcare
2.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AlzAware: A Comprehensive Online Resource for Alzheimer’s Awareness and Support — Basavaraj Aland, Korlapati Himaja · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS