⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

May 1, 1980View

Campylobacter fetus Subspecies jejuni: The Need for Surveillance

Martin J. Blaser

View at Publisher

Ask AI

Bookmark

Share

Abstract

Martin J. Blaser; Campylobacter fetus Subspecies jejuni: The Need for Surveillance, The Journal of Infectious Diseases, Volume 141, Issue 5, 1 May 1980, Pages 6

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Martin J. Blaser (1980) studied this question.

synapsesocial.com/papers/6a996cbc19c7e0464f27593f https://doi.org/10.1093/infdis/141.5.670

View at Publisher

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 related papers. Consider them for comparative context:

1Zero‐shot learning enabled image enhancement in Bessel beam light sheet fluorescence microscopyView · Wed,
2Network mapping of MRI‐defined anatomical invasion phenotypes for prognostic stratification in oral tongue squamous cell carcinomaView · Wed,
3Upper Limits of Physiological Cardiac Adaptation in Ultramarathon RunnersJournal of the American College of Cardiology · Tue,
4Effects of Calcium, Magnesium, and Potassium Concentrations on Ventricular Repolarization in Unselected IndividualsJournal of the American College of Cardiology · Sat,
5Diagnostic value of plasma TFF3‐centered combined biomarker panel in early gastrointestinal cancerView · Sun,

More from View

Biomimetic PB@PDA‐CA@Mem nanoplatform regulates oxidative stress and inflammatory microenvironment to enhance stroke recoveryWed,
LINC00892 inhibits hepatocellular carcinoma progression through SBDS/EIF6‐mediated ribosomal stress and interacting with the immune microenvironmentWed,
Equilibrium strategies for constrained time-inconsistent control problemsWed,
Improving tumor marker comparability: A case series on harmonizing carbohydrate antigen 19‐9 and carbohydrate antigen 15‐3 measurements across diverse measurement systemsTue,
Integrative proteomic profiling of extracellular vesicle‐enriched preparations with machine learning identifies disease activity‐associated signatures linked to adverse pregnancy outcomes in systemic lupus erythematosusFri,