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NEPHROLOGY, TRANSPLANTATION AND RENAL REGENERATION RESEARCH UNIT - Home — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Biotech And Biomedical Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
bioencapsulation.eu ↗	67 match 1 shared topics	Home - Bioencapsulation Research Group	European Union en	biotech-and-biomedical-industry Contao	robotsllmsaihumans	emailphone	none
dhawanlab.org ↗	66 match 1 shared topics	DhawanLab \| Hepatocyte Biology and Transplantation Group at King's College London	en	biotech-and-biomedical-industry WordPress	robotsllmsaihumans	emailphone	none
vivaryum.com ↗	66 match 1 shared topics	Vivaryum — Research Animal Records	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
360regenerative.com ↗	65 match 1 shared topics	Home - 360 Regenerative	en	biotech-and-biomedical-industry WordPress	robotsllmsaihumans	emailphone	none
conexeu.com ↗	65 match 1 shared topics	Architecting Bioregeneration \| Conexeu	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
herbaltechlabs.com ↗	65 match 1 shared topics	Herbaltech Research & Innovation — Data-Driven Micropropagation	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
polodeals.com ↗	65 match 1 shared topics	VIP Compounds \| Premium Research Peptides	en	biotech-and-biomedical-industry	robotsllmsaihumans	email phone	partial · 6
vivaproducts.com ↗	65 match 1 shared topics	Vivaproducts - Protein Concentration and Separation Technologies	en	biotech-and-biomedical-industry Snipcart	robotsllmsaihumans	emailphone	none
vivascience-us.com ↗	65 match 1 shared topics	Vivaproducts - Protein Concentration and Separation Technologies	en	biotech-and-biomedical-industry Snipcart	robotsllmsaihumans	emailphone	none
vizzdat.com ↗	65 match 1 shared topics	VizzDAT - Connecting Health and Medical Research with Modern Data Technology	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
3bbiotech.com ↗	65 match 1 shared topics	3B Biotech \| Clinical Observational Research	en	biotech-and-biomedical-industry WordPress	robotsllmsaihumans	email phone	none
barc-lab.eu ↗	65 match 1 shared topics	Transforming Clinical Research \| Cerba Research	European Union en	biotech-and-biomedical-industry WordPress	robotsllmsaihumans	emailphone	none
bridge-medical.eu ↗	65 match 1 shared topics	Bridge Medical - Research and Distribution	European Union en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
1-uplabs.com ↗	65 match 1 shared topics	1UpLabs — Research Peptides	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
vitanx.com ↗	65 match 1 shared topics	Advanced Research Peptides for Scientific Innovation	United States~ en	biotech-and-biomedical-industry WordPress WooCommerce	robotsllmsaihumans	email phone	none
amractionfund.com ↗	65 match 1 shared topics	Antimicrobial Resistance Research & Development - AMR Action Fund	en	biotech-and-biomedical-industry HubSpot	robotsllmsaihumans	emailphone	none
ajecr.org ↗	65 match 1 shared topics	American Journal of Experimental and Clinical Research	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
kriscolab.com ↗	65 match 1 shared topics	Krisco	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.