ClinicalTrials.gov
public full text
Public Domain
EIM Via the Myolex mScan as an ALS Biomarker
Amyotrophic lateral sclerosis (ALS) has been traditionally considered incurable and untreatable. But starting in the 1990s with the introduction of Riluzole, therapies are being discovered and ultimately approved for slowing disease progression. Many pharmaceutical companies continue to seek new therapeutic approaches. One critical aspect of all clinical trials is the need track to progression sensitively to identify the impact of therapy. Tools to track ALS progression must be convenient, objective, require minimal training, be easily standardized, cost-efficient, and have the potential to be applied effectively at home. There has been a push to identify accurate, objective biomarkers of ALS progression. In this study, the investigators propose to use Electrical impedance myography (EIM) to evaluate the progression of the disease. Work has shown that the EIM 50 kilohertz (kHz) phase value from one or more muscles, followed sequentially, can serve as an effective overall biomarker for assessing the rate of ALS progression for a single person.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- PLeDO: Pain Level Detection for Osteoarthritis from EMR Data#616862
- PLeDO: Pain Level Detection for Osteoarthritis from EMR Data#616362
- A Fast and Low-Cost Approach for Binding Mode Validation of AI-Designed Therapeutics#10105
- Efficacy and Tolerability of Idebenone in Boys With Cardiac Dysfunction Associated With Duchenne Muscular Dystrophy#896814
- AI-Assisted Saliva Diagnostics Using an Electrochemical Sensor Platform for Periodontitis Detection (SALIENCE)#887009
Record · ID 860271
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive