SMART-AMR Nigeria
Call for Potential Collaborators
Trillectra AI is developing SMART-AMR Nigeria — a proposed Global Health Research project focused on strengthening diagnostic and antimicrobial stewardship for maternal and neonatal sepsis in Nigerian hospitals.
We are building a Nigerian-led consortium combining clinical, academic, laboratory, pharmacy, policy, community, and data partners to co-design and evaluate a practical hospital-based intervention. This is an open invitation to explore fit — not a finalised consortium announcement.
Project snapshot
- Stage
- Exploratory consortium-building
- Indicative funding
- £1.5m – £3m over up to 4 years
- Leadership
- Nigerian-led, with international collaboration where it adds depth
- Primary focus
- Maternal & neonatal sepsis, AMR, stewardship, diagnostic and data systems
- Current ask
- Expressions of interest from potential collaborators and institutional partners
The challenge
A critical gap in maternal and neonatal care
Pregnant and postpartum women, and newborn babies with suspected sepsis, often require urgent antibiotic treatment before laboratory results are available. Where microbiology workflows, antimicrobial susceptibility testing, prescribing review, and clinical feedback systems are weak or delayed, patients may receive:
- Ineffective treatment due to undetected resistance
- Unnecessary broad-spectrum antibiotics
- Prolonged courses that increase AMR pressure
Our proposed response
A practical, hospital-based intervention
SMART-AMR Nigeria will co-design and evaluate an integrated intervention that brings together Nigerian clinical, academic, laboratory, pharmacy, policy, community, and data partners. Trillectra AI will contribute responsible AI, data integration, dashboards, digital implementation support, and technical capacity strengthening.
We are seeking collaborators who can help shape, lead, and deliver a strong, equitable, and fundable consortium.
Project components
Six integrated focus areas
The intervention combines clinical pathway improvement, stewardship practice, laboratory systems, data infrastructure, and research delivery into a single coherent programme.
Maternal & neonatal sepsis pathways
Improving how suspected sepsis is identified, triaged, and managed in pregnant, postpartum, and newborn patients — with timely, evidence-based antibiotic decisions.
Diagnostic & laboratory stewardship
Strengthening microbiology workflows, antimicrobial susceptibility testing, and the feedback loop between laboratory results and frontline prescribing decisions.
Pharmacy-led antimicrobial stewardship
Pharmacy and clinical pharmacy leadership in prescribing review, escalation guidance, and reducing unnecessary broad-spectrum or prolonged antibiotic use.
Responsible data & AI-enabled feedback
Data integration, dashboards, and AI-enabled systems that support real-time clinical feedback and AMR surveillance — designed responsibly and with local governance.
Implementation research & health economics
Rigorous evaluation of the intervention at scale — including implementation science, cost-effectiveness, and health system impact across Nigerian hospital settings.
Capacity building & community engagement
Training, mentorship, and community voice embedded throughout the project — ensuring durable local capability and equitable, context-aware delivery.
System in practice
What the system could look like in action
The proposed solution follows a full care pathway: recognition → cultures → antibiotics → lab/AST results → 48–72h review → de-escalation or escalation → AMR learning dashboard. Select a scenario to see how it would work.
Expressions of interest
Who we welcome to get in touch
We welcome expressions of interest from Nigerian and international partners with relevant expertise. Those able to recommend suitable partners are equally encouraged to reach out.
Clinical partners
Clinicians, obstetricians, neonatologists, and infection specialists working in Nigerian hospitals or internationally relevant settings.
Laboratory & pharmacy
Microbiologists, clinical pharmacists, and laboratory scientists with AMR, stewardship, or diagnostic expertise.
Research & academic institutions
Universities, teaching hospitals, and research institutes with relevant programmes, infrastructure, or grant experience.
Systems, policy & data
Experts in implementation science, health economics, community engagement, health policy, data governance, and health informatics.
Relevant domains of expertise
How to get involved
From conversation to consortium
We are at the earliest stage — exploring fit, not announcing a finalised structure. Here is how an initial conversation can evolve.
01
Expression of interest
Contact us for an informal discussion — to understand your work, potential areas of fit, and practical constraints.
02
Consortium shaping
Refining roles, partnership models, work packages, and site contributions around your institutional strengths.
03
Formation & funding
Where there is strong fit — moving toward a consortium agreement, collaboration plan, and coordinated funding application.