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# EEG Foundation Model Advances
Intellihealth MANAS-1 Enables Early Brain Screening

By Kanesa David | Written with AI assistance | Published 2026-03-02 | Tech
Source: Trend Hunter, https://www.trendhunter.com/trends/manas-1
References: [mobihealthnews](https://www.mobihealthnews.com/news/asia/eeg-based-foundation-ai-early-brain-disease-diagnosis-unveiled-india) & [neurodx.ai](https://www.neurodx.ai/)

![EEG Foundation Model Advances](https://cdn.trendhunterstatic.com/thumbs/602/manas-1.jpeg)

Intellihealth (NeuroDX) introduced MANAS-1, an [EEG](https://www.trendhunter.com/trends/athome-eeg-data)-based foundation model designed to interpret brain electrophysiology, featuring training on 60,000 hours of EEG from more than 25,000 patients. The model treats brain signals as a structured biological language and was launched in India for clinical and research use.

MANAS-1 analyzed functional connectivity and neural dynamics with reported capability to identify computational biomarkers, and researchers cited 95% accuracy for epilepsy markers in initial findings. The system currently uses about 400 million parameters with plans to scale toward 2 billion, and a MANAS-2 update was announced as forthcoming.

For clinicians and health systems, MANAS-1 promises scalable, noninvasive screening that could speed early detection of neurological and psychiatric conditions and support [brain‑computer interface applications](https://www.trendhunter.com/trends/braincomputer-interfaces). By standardizing EEG interpretation at scale, it aligns with wider trends in [foundation models for medical diagnostics](https://www.trendhunter.com/trends/Healthcare-foundation-models).

Image Credit: Gorodenkoff / Shutterstock

## Trend Insights (Trend Hunter)

- Score: 4.2/10
- Popularity: 25% | Activity: 37% | Freshness: 65%
- Audience gender: 50% men, 50% women
- Primary generations: Millennial, Gen X
- Top markets: Asia

## Categories

[Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [AI](https://www.trendhunter.com/ai)

## Key Themes

### What Makes This Trend Stand Out

- **EEG Foundation Models:** A new class of large pretrained EEG models represents brain electrophysiology as a structured language, offering generalized interpretive layers across diverse patient cohorts.
- **Scaled Neural Biomarker Discovery:** Training on tens of thousands of hours of EEG is enabling high‑throughput identification of computational biomarkers with reported high accuracy for conditions such as epilepsy.
- **Noninvasive Scalable Brain Screening:** Standardized, automated EEG interpretation at population scale suggests widespread screening capability for early neurological and psychiatric condition detection.

### Sectors Adopting This

- **Clinical Neurology:** Clinician workflows are poised to receive standardized, data‑driven EEG reads that can shift diagnostic pathways toward earlier and more consistent identification of disorders.
- **Medical Device Manufacturing:** Demand for integrated EEG hardware and cloud‑ready firmware is likely to rise as foundation models require standardized signal capture and remote scaling.
- **Brain-computer Interface and Neurotech:** Large EEG models with improved neural dynamics representation could advance decoding fidelity for BCI applications and downstream assistive technologies.

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