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Call for Cost-Disruptive Diagnostic and Screening Innovations (India)

Open Call: Information Society Innovation Fund (Asia Pacific) – Knowledge Category

Deadline: 01-Jul-2026

This programme invites applications for breakthrough, cost-disruptive innovations in screening and diagnostic technologies designed for real-world healthcare use in India. It is implemented by Grand Challenges India to support transformative solutions that improve disease detection, accessibility, and scalability in healthcare systems, especially in low-resource settings.

Objective of the Programme

The main objective is to fund high-risk, high-reward diagnostic innovations that improve early disease detection and enable rapid, point-of-care results. The programme focuses on reducing dependency on centralized laboratories and ensuring diagnostics can function effectively in decentralized healthcare environments. It also aims to improve scalability, affordability, and accessibility of healthcare diagnostics across India.

Priority Focus Areas

The programme prioritizes disease areas such as tuberculosis screening and diagnosis, emerging infectious pathogens, syndromic diagnostic panels, and enteric infections. It also supports innovations in novel diagnostic technologies, biosensing systems, software-defined diagnostics, AI-enabled diagnostic tools, and rapid result-generating platforms. Additional focus includes decentralized healthcare delivery, low-resource operability, and cross-disease diagnostic applications.

Technology and System Requirements

Proposed solutions must demonstrate strong technical feasibility and a clear development pathway with defined technology readiness levels. Innovations should include milestone-based development plans and show evidence of scalability and deployment potential. Solutions are expected to operate reliably in challenging environments including heat, dust, intermittent electricity, and limited healthcare infrastructure. They should ideally deliver results during a single patient encounter and be easy to operate at the point of care.

Engineering and Deployment Expectations

Applicants are expected to design systems that are cost-efficient and adaptable for real-world healthcare delivery. Technologies should minimize dependency on cold chain logistics through thermostable reagents, reduce consumable usage, and incorporate reusable hardware designs where possible. Systems should also be optimized for decentralized deployment in rural and resource-constrained environments.

Funding Structure and Duration

Exploratory proposals can receive funding up to INR 250 lakh (approximately USD 55,000) for a duration of up to 12 months. Solution or product-oriented proposals can receive funding up to INR 2 crore (approximately USD 200,000) for a duration of up to 18 months. Funding is milestone-based and linked to clear development and validation stages.

Eligibility Criteria

Eligible applicants include nonprofit organizations, trusts, foundations, startups, for-profit companies, academic institutions, research organizations, and government agencies. The programme is open to Indian individuals and Indian entities. Collaborations with international and national partners are encouraged if aligned with programme guidelines.

Why This Programme Matters

This initiative addresses critical gaps in diagnostic accessibility and disease detection in India. It aims to reduce diagnostic delays, improve outbreak detection, and strengthen healthcare systems through decentralized and rapid testing solutions. By supporting AI-enabled and point-of-care technologies, it enables faster, more accurate, and cost-effective healthcare delivery, particularly in underserved regions.

How to Apply or How It Works

Applicants must prepare structured proposals outlining the problem statement, proposed solution, target disease area, and intended use environment. Proposals should clearly define the technology readiness level and include a milestone-based development roadmap. Submissions must align with priority focus areas and demonstrate feasibility for real-world deployment in low-resource settings. Applications are reviewed under the guidelines of Grand Challenges India.

Common Mistakes to Avoid

Proposals that are purely conceptual or lack validation are not eligible. Weak articulation of technology readiness levels and missing scalability plans reduce selection chances. Solutions that are not suitable for low-resource environments or lack clear milestone planning are often rejected. Overly complex systems that cannot be deployed at the point of care should also be avoided.

Key Tips for Strong Applications

Strong proposals focus on real-world usability, affordability, and scalability rather than just innovation novelty. Applicants should clearly demonstrate field applicability and operational simplicity. Solutions should ideally integrate AI or digital diagnostics only when they add measurable value. A clear transition plan from prototype to pilot to large-scale deployment is essential.

Frequently Asked Questions

Conclusion

This programme under Grand Challenges India aims to accelerate scalable, cost-effective, and high-impact diagnostic innovations. It focuses on transforming healthcare delivery through rapid, decentralized, and AI-enabled diagnostic solutions that can operate effectively in real-world low-resource environments across India.

For more information, visit BIRAC.

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