Evidence map›Paper›PMID 40942908›Full record

ReviewSensors (Basel, Switzerland)2025

Innovative Sensor-Based Approaches for Assessing Neurodegenerative Diseases: A Brief State-of-the-Art Review.

Ngozi D Mbue, Fatemeh Tabei, Karen Williams, Kazeem Olanrewaju

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ngozi D MbueNelda C. Stark College of Nursing, Texas Woman's University, Houston, TX 77030, USA.ORCID 0000-0003-1707-0817
Fatemeh TabeiDepartment of Electrical Engineering/Computer Science, West Texas A & M University, Canyon, TX 79016, USA.ORCID 0000-0002-1639-1531
Karen WilliamsDepartment of Allied Health-Health Information Technology Program, Del Mar College, Corpus Christie, TX 78404, USA.
Kazeem OlanrewajuDepartment of Chemical Engineering, Prairie View A & M University, Prairie View, TX 77446, USA.

Funding

2024 Texas A&M Engineering Experiment Station Annual Research Conference (TARC). 2024 TARC Pitch
6 · The paper itself

Abstract

Sensor-based approaches are transforming the diagnosis and treatment of neurodegenerative diseases by offering more sensitive, non-invasive tools and are capable of real-time monitoring. Integrating advanced materials, nanotechnology, and artificial intelligence presents promise for earlier detection, enhanced disease management, and improved patient outcomes. From a clinical perspective, these technologies facilitate the shift toward precision medicine by enabling early intervention strategies, real-time treatment monitoring, and more refined patient stratification in practice and research contexts. This review provides an overview of recent advancements in sensor-based technologies aimed at enhancing the diagnosis and monitoring of neurodegenerative diseases (NDDs) such as Alzheimer's and Parkinson's, among others. Sensor-based technologies are adjunct tools and integral components of a next-generation framework for diagnosing, monitoring, and understanding neurodegenerative disorders.

Indexed as

Biosensing TechniquesNeurodegenerative DiseasesAlzheimer DiseaseArtificial IntelligenceHumansNanotechnologyParkinson Diseaseclinical practiceinnovationneurodegenerative diseasessensorstechnologies

Identifiers

PMID40942908
PMCPMC12431406

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.