Biomedical Science Dissertation Topics: 45 Ideas for Lab, In Silico and Literature-Based Projects

Quick answer Strong biomedical science dissertation topics match three things: the project route your department allocated (lab, in silico or literature review), a dataset...

Biomedical Science Dissertation Topics: 45 Ideas for Lab, In Silico and Literature-Based Projects

Quick answer

Strong biomedical science dissertation topics match three things: the project route your department allocated (lab, in silico or literature review), a dataset or protocol you can access on day one, and a question narrow enough to finish in 8 to 12 weeks. Below are 45 UK-focused ideas across the main IBMS disciplines, each tagged with level, method and a named data source.

Finding the right topic often feels like half the battle. You might plan cell culture work, then find there is no bench space left. Or you might be given an in silico project without ever having touched bioinformatics. This guide, prepared by The Academic Papers UK, lists 45 realistic biomedical science dissertation topics aligned to Institute of Biomedical Science (IBMS) disciplines. Every topic is tagged by level, project type, method and the public dataset or guideline you can use.

Key Takeaways for Choosing Biomedical Science Dissertation Topics

  • Pick biomedical science dissertation topics that fit the project route your department has approved, not just your interests.
  • Check data access before you commit. Some datasets are open; others need approvals you will not get in time.
  • Keep the question narrow. One focused question answered well beats a big question answered badly.

Biomedical Science Dissertation Topics: How to Use This List

Most UK biomedical science courses split final-year projects into three routes:

  • Wet-lab (LAB): hands-on experiments such as PCR, ELISA, cell culture or bacterial counts. They depend on reagents, equipment and experiments that work.
  • In silico or secondary data (IN SILICO / SD): computer-based analysis of public datasets such as genomic sequences or national surveillance data. Secondary data projects let you test hypotheses with statistics and biological databases, with no pipetting.
  • Systematic or scoping review (REVIEW / SR): structured, repeatable evaluation of published studies, following frameworks such as PRISMA and searching PubMed or the Cochrane Library. Our guide to literature review structure shows how to organise the write-up.

Departments often allocate biomedical science project types based on bench capacity, supervisor workload or funding rather than student choice. Find the biomedical science project route you have been given, check the data source listed, and make sure the scope fits your module deadline.

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How Do You Choose a Biomedical Science Dissertation Topic?

  1. Confirm your allocated route. If you have a desk-based project, do not choose a protocol that needs fresh patient samples.
  2. Match your career aims. If you want to work in an NHS pathology lab, choose a discipline linked to that route, such as haematology, transfusion or clinical biochemistry.
  3. Audit the techniques on hand. For lab work, check that the department can supply the antibodies, cell lines or kits you need without long delays.
  4. Inspect public datasets first. For in silico work, download a sample file from the repository, such as NCBI GEO or UKHSA surveillance pages, and check the metadata, sample sizes and controls.
  5. Set a review protocol early. For reviews, fix your search criteria and plan a PRISMA flow diagram. An unstructured summary of a few papers will be marked down.

If you are still stuck, our dissertation topic help service can suggest biomedical science dissertation topics matched to your route and interests.

Lab vs in silico vs review biomedical science projects: pros and cons

Project typeMain advantageMain limitation
Laboratory (LAB)Generates new data and builds practical skillsExperiments can fail, samples can be small and contamination can cost weeks
In silico (SD)Large sample sizes from existing national or public data, with no wet labNeeds statistical and coding skills; missing metadata can undermine the question
Systematic review (SR)Builds appraisal and synthesis skills; no participant ethics approval as data is publishedHigh risk of bias if the search is weak or PRISMA steps are skipped

What fits in an 8 to 12 week biomedical science project?

LevelRealistic scope
Undergraduate (BSc)One focused comparison, one public surveillance trend, or a review of around 20 studies
Postgraduate (MSc)Multi-cohort transcriptomic re-analysis, diagnostic accuracy meta-analysis or registry comparisons
Doctoral (PhD)Original multi-year research, well beyond an 8 to 12 week project

Does an IBMS-accredited degree require a wet-lab project?

Not necessarily. Well-designed in silico projects and PRISMA-compliant systematic reviews also build the critical analysis and data appraisal skills that accreditation expects, and many accredited BSc and MSc programmes accept them. Check your own programme handbook, and confirm that your degree is IBMS-accredited if you plan to register with the HCPC as a biomedical scientist.

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Biomedical Science Dissertation Topics in Medical Microbiology and AMR

Antimicrobial resistance (AMR) remains a top UK research priority. The UK Health Security Agency's English Surveillance Programme for Antimicrobial Utilisation and Resistance (ESPAUR) publishes national data you can use for non-lab biomedical science projects, alongside prescribing indicators on OHID Fingertips.

1. Trends in E. coli bacteraemia resistance in England

Level: UG · Type: IN SILICO · Method: SD
Data source: UKHSA ESPAUR reports

Use published surveillance data to track resistance in bloodstream isolates to first-line antibiotics such as co-amoxiclav, ciprofloxacin and piperacillin-tazobactam over a defined 5 to 10 year period.

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2. Antibacterial activity of Manuka honey against MRSA

Level: UG · Type: LAB · Method: Quantitative
Data source: Laboratory-generated data

Measure activity against methicillin-resistant Staphylococcus aureus using disc diffusion and minimum inhibitory concentration (MIC) testing, within approved lab procedures.

3. Phage therapy for multidrug-resistant infections

Level: UG/MSc · Type: REVIEW · Method: SR
Data source: PubMed and Cochrane Library

Appraise clinical trial and compassionate-use evidence for bacteriophage treatment of resistant pseudomonal or staphylococcal infections.

4. Rapid molecular diagnostics versus culture for sepsis pathogen identification

Level: MSc · Type: REVIEW · Method: SR
Data source: PubMed and Cochrane Library

Run a diagnostic test accuracy review comparing time to result, sensitivity and specificity of multiplex PCR or MALDI-TOF platforms with blood culture, using clearly defined inclusion criteria.

5. Genomic surveillance of carbapenemase-producing Enterobacterales

Level: MSc · Type: IN SILICO · Method: SD
Data source: NCBI Pathogen Detection

Use public whole-genome data to map the prevalence and spread of carbapenemase genes such as NDM, KPC and OXA-48 in clinical isolates.

6. Wastewater surveillance for antimicrobial resistance genes

Level: MSc · Type: REVIEW · Method: SR
Data source: PubMed, UKHSA and Environment Agency reports

Evaluate what sewage sampling can and cannot tell us about community-level resistance genes, including sampling limits and links to clinical data.

7. Antibiotic prescribing in primary care by deprivation

Level: UG · Type: IN SILICO · Method: SD
Data source: OHID Fingertips and prescribing statistics

Test whether antibiotic volumes and broad-spectrum ratios differ across deprivation levels in England.

Biomedical Science Dissertation Topics in Haematology and Transfusion

Haematology and transfusion labs underpin emergency care and chronic disease management. Since the Infected Blood Inquiry published its final report in May 2024, transfusion safety, donor diversity and governance have become prominent areas for biomedical science dissertation topics.

8. Lessons from the Infected Blood Inquiry for modern transfusion safety

Level: UG · Type: REVIEW · Method: SR
Data source: Infected Blood Inquiry final report, SHOT annual reports and NHS guidance

Analyse the failures behind the contaminated blood scandal and evaluate how screening, pathogen reduction and haemovigilance protect patients today.

9. Patient blood management and transfusion reduction in elective surgery

Level: UG/MSc · Type: REVIEW · Method: SR
Data source: PubMed, Cochrane Library and NICE guidance

Review evidence for correcting anaemia before surgery, for example with intravenous iron, and for intraoperative cell salvage to reduce transfusions.

10. Sickle cell disease: crizanlizumab and gene therapy

Level: MSc · Type: REVIEW · Method: SR
Data source: PubMed, trial registries and NICE technology appraisals

Compare evidence for crizanlizumab, whose EU conditional authorisation was revoked after the STAND trial, with exagamglogene autotemcel (Casgevy), which the MHRA approved and NICE has recommended for eligible patients. Consider outcomes, safety, eligibility and access.

11. Iron deficiency anaemia screening: ferritin thresholds and diagnostic accuracy

Level: UG · Type: REVIEW · Method: SR
Data source: PubMed, Cochrane Library and clinical guidelines

Evaluate ferritin cut-offs for iron deficiency, how inflammation distorts them, and when soluble transferrin receptor testing helps.

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12. Blood donor diversity and rare blood-type supply in England

Level: UG · Type: IN SILICO · Method: SD
Data source: NHS Blood and Transplant published reports

Assess trends in donor demographics and the supply of Ro blood for patients with sickle cell disease who need regular exchange transfusions.

13. Automated haematology analysers versus manual blood-film review

Level: UG · Type: LAB · Method: Quantitative
Data source: Laboratory-generated paired results

Compare automated white cell differentials with 100-cell manual counts and calculate false-positive and false-negative flag rates. Confirm sample access, lab approval and supervision first.

Biomedical Science Dissertation Topics in Clinical Biochemistry

Clinical biochemistry depends on precise assays and well-validated biomarkers. Diagnostic accuracy questions suit review-based biomedical science dissertation topics because you can compare published sensitivity, specificity and ROC data without new samples.

14. Point-of-care HbA1c testing in the community versus laboratory methods

Level: UG/MSc · Type: REVIEW · Method: SR
Data source: PubMed, Cochrane Library and diagnostic accuracy studies

Assess whether point-of-care HbA1c analysers meet acceptable precision and bias compared with laboratory HPLC methods.

15. FIT thresholds in bowel cancer screening and symptomatic triage

Level: MSc · Type: REVIEW · Method: SR
Data source: Trial literature, NICE DG56 and NHS screening publications

Compare the England screening threshold of 120 µg haemoglobin per gram of faeces with the 10 µg/g threshold used for symptomatic patients in primary care, and the trade-off between sensitivity and colonoscopy capacity.

16. High-sensitivity troponin pathways for ruling out myocardial infarction

Level: UG · Type: REVIEW · Method: SR
Data source: PubMed, Cochrane Library and NICE guidance

Compare rapid 0/1-hour and 0/2-hour high-sensitivity troponin pathways with longer protocols for negative predictive value and safe discharge.

17. Vitamin D measurement and deficiency prevalence in the UK

Level: UG · Type: IN SILICO · Method: SD
Data source: National Diet and Nutrition Survey, where biomarker data is available

Examine 25-hydroxyvitamin D levels by season and age, and discuss variation between immunoassay and LC-MS/MS methods.

18. Biomarkers for early detection of acute kidney injury

Level: MSc · Type: REVIEW · Method: SR
Data source: PubMed, Cochrane Library and EMBASE

Appraise urinary NGAL and KIM-1 against rises in serum creatinine for early diagnosis of acute kidney injury.

19. Antioxidant capacity of common UK foods using FRAP and DPPH assays

Level: UG · Type: LAB · Method: Quantitative
Data source: Laboratory spectrophotometric results

Compare antioxidant activity of selected berry or tea extracts with FRAP and DPPH assays, using the same preparation, controls and replicates.

Review projects

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Biomedical Science Dissertation Topics in Cellular Pathology and Cancer Biology

These biomedical science dissertation topics explore tumour characteristics, molecular markers and diagnostic technology. Several use public data from The Cancer Genome Atlas (TCGA) through the Genomic Data Commons (GDC) portal.

20. Differential gene expression in triple-negative breast cancer using TCGA data

Level: MSc · Type: IN SILICO · Method: SD
Data source: GDC portal, TCGA-BRCA cohort

Identify differentially expressed genes between triple-negative tumours and matched normal tissue, then run pathway enrichment.

21. Digital pathology and AI in NHS histopathology

Level: MSc · Type: REVIEW · Method: SR
Data source: PubMed, NICE publications and published NHS evaluations

Review agreement between AI-assisted whole-slide image analysis and consultant histopathologists, plus workflow effects and barriers to adoption.

22. HPV primary screening and cervical cancer detection in England

Level: UG · Type: REVIEW · Method: SR
Data source: NHS Cervical Screening Programme publications, UKHSA reports and PubMed

Assess the shift from cytology-first screening to high-risk HPV testing as the primary test.

23. Liquid biopsy for colorectal cancer recurrence monitoring

Level: MSc · Type: REVIEW · Method: SR
Data source: PubMed and Cochrane Library

Synthesise evidence on circulating tumour DNA for detecting minimal residual disease after surgery, compared with CEA monitoring.

24. Cytotoxicity of plant extracts on cancer cell lines using the MTT assay

Level: UG · Type: LAB · Method: Quantitative
Data source: Laboratory-generated results

Measure viability in an established cell line such as MCF-7 or HeLa after exposure to plant extracts at 24 and 48 hours, with proper controls and replicates.

25. Ki-67 and breast cancer prognosis: a meta-analysis

Level: MSc · Type: REVIEW · Method: SR
Data source: PubMed, Cochrane Library and published cohorts

Pool survival data to test whether different Ki-67 cut-offs create unacceptable variation in prognosis.

26. Survival gene signatures in glioblastoma using public expression data

Level: MSc · Type: IN SILICO · Method: SD
Data source: NCBI GEO and TCGA-GBM

Build Kaplan-Meier survival models linking candidate gene signatures to overall survival.

Biomedical Science Dissertation Topics in Immunology and Vaccines

Immunology links host defence, autoimmunity and public vaccination programmes. Recent UK programme changes give strong options for data-driven biomedical science projects.

27. RSV vaccination in older adults and pregnancy: early UK evidence

Level: UG/MSc · Type: REVIEW or IN SILICO · Method: SR or SD
Data source: UKHSA reports and published effectiveness studies

Review uptake and early effectiveness of the RSV programme introduced in September 2024 for adults aged 75 to 79 and for pregnant women from 28 weeks.

28. Measles resurgence and MMR uptake in England

Level: UG · Type: IN SILICO · Method: SD
Data source: UKHSA COVER vaccine coverage data and measles surveillance

Compare regional measles cases with two-dose MMR coverage, and discuss the limits of ecological comparisons.

29. Monoclonal antibodies for Alzheimer's disease: lecanemab, donanemab and NICE

Level: MSc · Type: REVIEW · Method: SR
Data source: PubMed, trial publications and NICE guidance

Synthesise efficacy and safety evidence, including amyloid-related imaging abnormalities, and examine why NICE has not recommended these drugs for routine NHS use.

30. Long COVID immunology: persistent inflammatory markers

Level: MSc · Type: REVIEW · Method: SR
Data source: PubMed and Cochrane Library

Review studies comparing cytokines, complement activation and immune cell profiles in people with and without long COVID.

31. Oral immunotherapy for peanut allergy in children

Level: UG · Type: REVIEW · Method: SR
Data source: PubMed, Cochrane Library and NICE guidance

Weigh desensitisation rates against treatment-related allergic reactions.

32. Cytokine profiles in rheumatoid arthritis: an ELISA-based comparison

Level: UG · Type: LAB · Method: Quantitative
Data source: Laboratory-generated ELISA results

Compare cytokines such as TNF-α or IL-17 across approved sample groups using validated assays and controls. Ethical approval is needed before any human samples are used.

Biomedical Science Dissertation Topics in Genetics and Genomics

Genomics is now part of frontline NHS care. In October 2024, the first babies were tested in the Generation Study, run by Genomics England with the NHS, which aims to sequence the genomes of 100,000 newborns to look for more than 200 rare genetic conditions. That makes genomics one of the fastest-moving areas for a biomedical science dissertation.

33. Newborn genome sequencing in the Generation Study: ethical and diagnostic questions

Level: UG/MSc · Type: REVIEW · Method: SR
Data source: Genomics England documentation, NHS England statements and PubMed

Review analytical validity, false positives, which conditions are actionable, and informed consent challenges.

34. Pharmacogenomic testing (DPYD, CYP2C19) in NHS practice

Level: MSc · Type: REVIEW · Method: SR
Data source: PubMed, NICE guidance and NHS genomic medicine publications

Review evidence for testing DPYD before fluoropyrimidine chemotherapy and CYP2C19 before clopidogrel, and barriers to implementation.

35. Interpreting BRCA1/2 variants of uncertain significance using ClinVar

Level: MSc · Type: IN SILICO · Method: SD
Data source: NCBI ClinVar

Audit conflicting classifications across laboratories and how ACMG/AMP criteria are applied.

36. CRISPR-based therapy for haemoglobinopathies: efficacy and access

Level: MSc · Type: REVIEW · Method: SR
Data source: PubMed, trial registries and NICE publications

Examine the mechanism and trial outcomes of exa-cel in transfusion-dependent beta-thalassaemia and severe sickle cell disease, including conditioning challenges.

37. Polygenic risk scores for coronary artery disease

Level: MSc · Type: REVIEW · Method: SR
Data source: PubMed and cohort validation studies

Assess whether adding polygenic risk scores to tools such as QRISK3 improves risk prediction.

38. Diversity gaps in genomic databases and health equity

Level: UG · Type: REVIEW · Method: SR
Data source: PubMed and genomic diversity studies

Examine how the over-representation of European ancestry in genomic databases affects variant interpretation for other groups.

39. Gene expression changes in the Alzheimer's disease hippocampus: a GEO re-analysis

Level: MSc · Type: IN SILICO · Method: SD
Data source: NCBI GEO

Re-analyse a published post-mortem hippocampal dataset to identify dysregulated pathways.

Biomedical Science Dissertation Topics in Physiology and Metabolic Disease

Metabolic disease, neurological biomarkers and population health trends offer clear frameworks for a biomedical science dissertation. For related ideas, see our public health dissertation topics.

40. GLP-1 receptor agonists beyond weight loss: cardiovascular and kidney outcomes

Level: UG/MSc · Type: REVIEW · Method: SR
Data source: PubMed, Cochrane Library and published trials such as SELECT and FLOW

Review evidence for heart and kidney benefits of semaglutide and tirzepatide beyond glucose control.

41. Gut microbiome and depression: a systematic review of human studies

Level: UG · Type: REVIEW · Method: SR
Data source: PubMed and Cochrane Library

Review studies of microbial diversity and short-chain fatty acid producers in adults with major depressive disorder.

42. Type 2 diabetes remission through low-calorie diets: NHS evidence

Level: UG · Type: REVIEW · Method: SR
Data source: NHS England publications, the DiRECT trial and PubMed

Appraise evidence from the NHS Type 2 Diabetes Path to Remission Programme, previously the NHS Low Calorie Diet Programme. Check current eligibility and service details before you write up.

43. Blood biomarkers (p-tau217) for Alzheimer's diagnosis

Level: MSc · Type: REVIEW · Method: SR
Data source: PubMed, Cochrane Library and diagnostic accuracy studies

Evaluate sensitivity, specificity and AUC of plasma p-tau217 against CSF or amyloid PET.

44. Effect of caffeine on reaction time and heart rate variability in students

Level: UG · Type: LAB · Method: Quantitative
Data source: Primary data from reaction-time tests and heart-rate monitors

Compare reaction times and heart rate variability after caffeine versus placebo. Departmental ethics approval is required before recruitment.

45. Obesity prevalence trends by region in England

Level: UG · Type: IN SILICO · Method: SD
Data source: Health Survey for England reports; microdata via the UK Data Service

Analyse regional changes in adult and child obesity and related hypertension over the last decade.

UK Data Sources for Biomedical Science Dissertations

SourceData typeSuitsAccess
UKHSA ESPAURAMR and antibiotic use reportsMicrobiologyOpen
OHID FingertipsPublic health indicatorsPublic healthOpen dashboard
UKHSA COVERChildhood vaccine coverageImmunologyOpen
Genomics EnglandGenomic and clinical research dataGenomicsRestricted research environment
UK BiobankHealth, genetic and lifestyle dataMetabolic disease, geneticsApproved researchers; fees apply
NCBI GEOGene expression datasetsCancer biology, neuroscienceOpen
GDC portal (TCGA)Cancer genomics and clinical dataCancer biologyMixed: summary data open, raw data controlled
ClinVarVariant interpretationsGeneticsOpen
NCBI Pathogen DetectionPathogen genomes and AMR genesMicrobiologyOpen
Health Survey for EnglandPopulation health and obesityPhysiologyReports open; microdata via UK Data Service
NICE guidanceClinical recommendationsAllOpen
PubMed and CochranePublished studies and reviewsAllFree search; some full texts need subscription

Why undergraduates rarely use restricted data: UK Biobank and Genomics England require formal applications, approvals and sometimes fees or training. That process rarely fits an undergraduate timeline, so open sources such as GEO, ClinVar and UKHSA reports are the practical choice for most biomedical science projects.

Which Method Fits Your Biomedical Science Project?

TypeSkillsDeliverablesCommon marker concerns
Wet-labExperimental design, controls, statisticsResults, graphs, lab reportSmall samples, missing controls
In silicoData handling and statistical analysisTables, visualisations, reproducible codeData quality, wrong tests
Systematic reviewSearching, screening, synthesisPRISMA flow diagram, evidence tablesWeak search, missing PRISMA steps

If your biomedical science project relies on inferential statistics, our guides to statistical tests for hypothesis testing and the ANOVA test will help you choose the right test before you write your results.

Conclusion

Pick a topic that fits inside 8 to 12 weeks, or the project will fall apart before you write a word. You do not earn extra marks for an impossible assay that collapses when your cell culture is contaminated in week four. You earn them by showing you understand controls, and by knowing why you ran an ANOVA rather than a t-test. If an experiment fails, record what went wrong, explain the likely cause and show the marker you understand how real science works.

Lab, in silico and literature review projects are all legitimate routes for a biomedical science dissertation. Whichever you are given, pin down your dataset or protocol on day one. Keep the scope tight and answer one specific question well. That is what turns biomedical science dissertation topics on a list into a project you can actually finish.

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FAQs

Can a biomedical science dissertation be a literature review?

Yes. Most UK universities accept literature-based dissertations if they follow a structured method, such as a PRISMA-compliant systematic review or a formal scoping review. An unstructured essay will not score well.

What is an in silico biomedical dissertation?

A computer-based project. Instead of bench experiments, you analyse biological data such as sequences, protein structures, registries or surveillance figures with databases and statistical software.

Can undergraduates access UK Biobank data?

Rarely. UK Biobank needs a formal application, approval and fees, usually led by an established researcher. Open sources such as NCBI GEO, ClinVar and UKHSA reports are faster and more practical.

Which statistical tests are common in biomedical projects?

t-tests for two groups, ANOVA for three or more, chi-square for categorical associations, and Pearson or Spearman correlation. Diagnostic accuracy reviews use sensitivity, specificity and predictive values.

How do I write up a biomedical dissertation if my lab project failed?

Report the results honestly, record the technical problems, explain the likely causes and discuss what you would change. A failed experiment can still show sound method and critical thinking.

What referencing style should a biomedical science dissertation use?

It varies. Vancouver is common in biomedical publishing, and some universities prefer Harvard. Always follow your course handbook.

References

Cochrane Library (2026). Available at: https://www.cochranelibrary.com/

Department of Health and Social Care (2026) Fingertips. Available at: https://fingertips.phe.org.uk/

Genomics England. Newborn Genomes Programme. Available at: https://www.genomicsengland.co.uk/initiatives/newborn

NCBI (2026) Gene Expression Omnibus. Available at: https://www.ncbi.nlm.nih.gov/geo/

NCBI (2026) ClinVar. Available at: https://www.ncbi.nlm.nih.gov/clinvar/

NCBI (2026) Pathogen Detection. Available at: https://www.ncbi.nlm.nih.gov/pathogens/

National Cancer Institute (2026) GDC Data Portal. Available at: https://portal.gdc.cancer.gov/

NHS England (2024) First newborn babies tested for over 200 genetic conditions as world-leading study begins in NHS hospitals. Available at: https://www.england.nhs.uk/2024/10/first-newborn-babies-tested-for-over-200-genetic-conditions-as-world-leading-study-begins-in-nhs-hospitals/

NHS England (2024) Health Survey for England. Available at: https://digital.nhs.uk/data-and-information/publications/statistical/health-survey-for-england

NICE (2026) NICE guidance. Available at: https://www.nice.org.uk/guidance

Rutjes, A.W.S. et al. (2006) Evidence of bias and variation in diagnostic accuracy studies. CMAJ. doi:10.1503/cmaj.050090

UK Health Security Agency (2024) RSV vaccination programme. Available at: https://www.gov.uk/government/collections/respiratory-syncytial-virus-rsv-vaccination-programme

UK Health Security Agency (2026) ESPAUR report 2024 to 2025. Available at: https://www.gov.uk/government/publications/english-surveillance-programme-for-antimicrobial-utilisation-and-resistance-espaur-2024-to-2025-report

This list was prepared by the academic team at The Academic Papers UK.

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