Explore something new
Purely For Research
At the Innovation Cell, we are committed to catalyzing transformative research in health and medicine. As part of the Center for Health Research – DhiShi, our mission is to empower researchers, clinicians, innovators, and institutions through collaborative, end-to-end support that accelerates scientific breakthroughs and improves healthcare outcomes.
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Research Projects
From early-stage concepts to published studies, we’ve empowered health research projects with end-to-end innovation support.
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Countries
Our collaborative network spans multiple countries, bringing together global minds to tackle local and international health challenges.
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Researchers
We’ve directly supported researchers, clinicians, students, and startups with customized strategies, tools, and mentorship.
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Publications & Proposals
Our team has helped shape scientific manuscripts and research submissions with high-impact outcomes.
CORE PILLARS
Biological Discovery
Mechanisms of health and disease across molecular, cellular, and systems levels.
Data & AI-Driven Science
Multi-omics, imaging, real-world data, and AI/ML for hypothesis generation and validation.
Translational Pathways
From target identification to proof-of-concept.
Population & Precision Health
Linking discovery to diverse populations and equitable outcomes.
End-to-End Research Services (What We Do)
Our Discovery Sciences unit delivers comprehensive research services across five integrated stages:
Discovery Ideation & Scientific Strategy
- » Identification of unmet scientific and health questions
- » Hypothesis generation driven by biology, data, and clinical insight
- » Prioritisation of discovery pathways with translational potential
Experimental & Study Design
- » Design of discovery-driven experimental and observational studies
- » Statistical and methodological planning for robust discovery
- » Ethics, regulatory, and governance coordination
Data & Biospecimen Generation
- » Molecular, cellular, and systems-level experimentation
- » Clinical, community, and population-based discovery studies
- » Biospecimen collection, processing, biobanking, and quality assurance
Omics, Systems Biology & AI Discovery
- » Multi-omics discovery (genomics, transcriptomics, proteomics, metabolomics)
- » Single-cell, spatial, and imaging-based discovery platforms
- » Bioinformatics, systems biology, and AI/ML for novel signal detection
Discovery Validation & Early Translation
- » Replication and validation of novel findings
- » Biomarker, target, and pathway characterisation
- » Early assay, diagnostic, and tool development
Translational Readiness & Impact Pathways
- » Proof-of-concept and feasibility studies
- » Integration with clinical, population, and health systems research
- » Knowledge translation, IP support, and pathways to scale
How We Work: Our Discovery Process
Our discovery work follows a structured yet flexible process designed to maximise scientific novelty, quality, and translational relevance.
Discovery Intake & Scoping
- Engagement with investigators, clinicians, or partners to define the discovery challenge.
- Assessment of scientific novelty, feasibility, and alignment with DhiShi priorities.
Definition of discovery objectives, endpoints, and success criteria
Integrated Discovery Planning
- Selection of appropriate experimental, omics, and data science approaches.
- Cross-disciplinary team formation (wet lab, computational, clinical).
- Risk identification and mitigation strategies.
Iterative Experimentation & Analysis
- Cyclical design-test-learn approach.
- Real-time data review and adaptive refinement of experiments.
- Continuous integration of biological and computational insights.
Quality, Reproducibility & Governance
- Standardised protocols and quality controls.
- Reproducibility checks and independent validation.
- Ethical oversight, data governance, and responsible AI practices.
Discovery Outputs & Next-Step Pathways
- Generation of validated discovery outputs (mechanisms, biomarkers, targets).
- Clear recommendations for translation, scale, or further investigation.
- Seamless handover to translational, clinical, or population research teams.
Quick FAQs
What types of discoveries does Discovery Sciences focus on?
We focus on discovering new biological mechanisms, disease pathways, biomarkers, and data-driven insights that advance understanding of health and disease and enable early translation.
Is Discovery Sciences only laboratory-based?
No. Our discovery work spans molecular and cellular biology, omics, computational science, clinical discovery, and population-level research.
Who can work with Discovery Sciences at DhiShi?
Academic researchers, clinicians, health systems, industry partners, startups, and public-sector organisations can collaborate with us.
Do you support both hypothesis-driven and data-driven discovery?
Yes. We support classical hypothesis-driven research as well as exploratory, AI- and data-driven discovery approaches.
How do you ensure quality and reproducibility?
We use standardised protocols, rigorous study design, independent validation, and transparent data and analysis pipelines.
Can discovery projects lead to diagnostics or therapies?
Yes. While Discovery Sciences focuses on early discovery, many projects progress toward biomarkers, diagnostics, targets, or intervention concepts.
How do you handle data, privacy, and ethics?
All projects follow strict ethical approvals, consent frameworks, data protection standards, and responsible AI principles.
Do you work with population and real-world data?
Yes. We integrate population cohorts, clinical data, environmental data, and real-world evidence into discovery workflows.
What happens after a discovery is made?
Validated discoveries can move into translational research, clinical pilots, policy engagement, or commercialisation pathways within DHISHI or with partners.
How long do discovery projects typically take?
Timelines vary by scope and complexity, but projects are designed with clear milestones and iterative decision points to accelerate meaningful discovery.