Skip to main content

ResearchHubLoading navigation…

Loading ResearchHub…

Explore the network

Research, people, journals and institutions — all in one place.

Explore

01Research 02Smart search 03Researchers 04Journals 05Institutions 06RHR Rankings 07ResearchHub platform 08Events

Work together

Turn ideas into projects, questions and reusable datasets.

Connect

01Projects 02Questions 03Datasets

Stay informed

Follow trends, opportunities and your research library.

Insights

01Research trends 02Opportunities 03Library 04Research services 05ResearchHub Pro 06Pricing

ResearchHub

Explore ResearchHub.

Personal

01Recommended research 02Research intelligence

Home Search Network Library Log in

ResearchHub

Research, connected

Explore the graph

X

Download ResearchHub

GET IT ONGoogle PlayComing soonDownload on theApp StoreComing soonEXPLORE IT ONAppGalleryComing soon

Research

Research Researchers Journals Institutions RHR Rankings

Contribute

Projects Questions Datasets Opportunities

Platform

ResearchHub platform About Blog Community Help API Licensing

Shopping

Contact and support

Need help, have a question, or want to contact the ResearchHub team?

Contact and support support@aresearch.uk

© 2026 ResearchHub. Built for responsible scholarly connection.

Help Article feed Privacy Terms Cookies This work is licensed under Creative Commons Attribution 4.0 InternationalCC BY 4.0

Privacy-aware community infrastructure

Annals of Clinical Biochemistry: International Journal of Laboratory Medicine - ResearchHub

Journal

Annals of Clinical Biochemistry: International Journal of Laboratory Medicine

0004-5632 · SAGE Publications

3 verified public works

Browse all journals →

Accuracy of the novel automated VIDAS TBI (GFAP, UCH-L1) assay for ruling out acute intracranial traumatic lesions in patients under 65 years of age with mild traumatic brain injury in an Emergency Department: an exploratory study

2026 · 0 citations

Analytical performance of a single epitope meta-sandwich total 25-hydroxyvitamin D immunoassay and establishment of reference intervals in a Chinese population

2026 · 0 citations

Developing a new LDLc regressor machine learning model to predict LDLc levels and comparing with conventional LDLc formula: our experience from clinical laboratory dataset.

2026 · 0 citations

Page 1 of 1