AI/ML model based prognostic mtdna biomarkers for neurodegenerative disorders
Innovative AI/ML models leverage mtDNA biomarkers for early diagnosis and personalized treatment of neurodegenerative diseases, offering targeted therapeutic suggestions and drug repurposing opportunities.
Overview
This solution harnesses advanced AI/ML models to utilize mitochondrial DNA (mtDNA) biomarkers for the early diagnosis and personalized treatment of neurodegenerative disorders such as Alzheimer's, Multiple Sclerosis, ALS, and Creutzfeldt-Jakob Disease. By integrating mtDNA sequencing data with comprehensive bioinformatics and network analysis, key biomarkers are identified to facilitate targeted therapeutic suggestions and drug repurposing, aiming to improve patient outcomes and treatment efficacy.
Technical specifications
- AI/ML Model Development: Utilizes machine learning to train models that predict disease progression and suggest therapeutic interventions.
- Biomarker Identification: Employs mtDNA sequencing and bioinformatics to pinpoint disease-specific biomarkers.
- Data Integration: Combines patient mtDNA sequences with existing mtDNA data to enhance analysis accuracy.
- Therapeutic and Drug Repurposing: Validates therapeutic suggestions against FDA-approved drug databases to explore potential repurposing opportunities.
Technology readiness level
This technology is at TRL 3, indicating that it has been validated in a laboratory environment, with ongoing efforts to refine and prepare for further development and clinical validation.
About R.V. College of Engineering
RV College of Engineering (RVCE) is an autonomous, self‑financing engineering institution in Bengaluru, affiliated to Visvesvaraya Technological University and accredited NAAC A+. It connects to industry through an active Industry Institute Interaction Cell, 150+ MoUs, and co‑located, industry‑sponsored labs and Centers of Excellence that enable joint training, prototyping, and upskilling on campus. Proximity to Bengaluru’s technology cluster supports internships, capstone co‑supervision, and consultancy engagements throughout the year. Research here is supported by competitive national programs and industry, including DRDO/NRB, AICTE, and ISRO collaborations. An IP Coordination Cell, together with incubation resources and a student‑run Entrepreneurship Development Cell, assists with patenting, licensing, and venture formation.
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