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Ma’ayan Lab – Computational Systems Biology — 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
computimm.com ↗	69 match 2 shared topics	ComputImm Lab	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	partial · 8
shuwang-group.com ↗	67 match 2 shared topics	Wang Group – Multi-scale systems biology using mechanistic mathematical models, statistical machine learning, and high-dimensional high-throughput biological data	en	biotech-and-biomedical-industry WordPress	robotsllmsaihumans	emailphone	none
medicalcuriositytoknow.com ↗	66 match 2 shared topics	Your biology on medical advancements – Biology and medicine	en	biotech-and-biomedical-industry WordPress	robotsllmsaihumans	emailphone	none
bionomous.ch ↗	65 match 2 shared topics	BIONOMOUS - Automating tomorrow's biology	Switzerland en	biotech-and-biomedical-industry WordPress	robotsllmsaihumans	emailphone	none
heweibioinfor.com ↗	65 match 2 shared topics	Wei He's personal site	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
hexagene.ai ↗	64 match 2 shared topics	HexaGene · The Longevity Operating System	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
mbpinc.net ↗	64 match 2 shared topics	Molecular Biology Products - Laboratory Products Supplier	en	biotech-and-biomedical-industry	robotsllmsaihumans	email phone	none
koziarskilab.com ↗	64 match 2 shared topics	Koziarski Lab \| We are an interdisciplinary group based in Toronto, focused on research at the intersection of machine learning, chemistry, and biology, with applications aimed at extending human lifespan.	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
digitaltwininnovationhub.org ↗	64 match 2 shared topics	Digital Twin Innovation Hub	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
vitromicsbiolab.com ↗	64 match 2 shared topics	Vitromics Biolab \| Bioinformatics & In-Silico Research Services \| Vitromics Biolab	en	biotech-and-biomedical-industry	robotsllmsaihumans	email phone	none
vitalysbio.com ↗	64 match 2 shared topics	VitalysBio \| Bioinformatics & Biological Data Analysis	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
devenportlab.org ↗	64 match 2 shared topics	DEVENPORT LAB - Home	en	biotech-and-biomedical-industry Weebly	robotsllmsaihumans	emailphone	none
vivariumlab.com ↗	64 match 2 shared topics	Vivarium Lab – building integrative models of whole cells and their environments	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
shrimpimprovement.com ↗	64 match 2 shared topics	Shrimp Improvement Systems	en	biotech-and-biomedical-industry WordPress	robotsllmsaihumans	emailphone	none
mechanome.org ↗	64 match 2 shared topics	GORDON LAB	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
concepcionlab.com ↗	64 match 2 shared topics	Concepcion Lab	en	biotech-and-biomedical-industry WordPress	robotsllmsaihumans	emailphone	none
biotestlab.eu ↗	64 match 2 shared topics	BTL Bio-Test Labor GmbH Sagerheide \| Kompetenz in Dienstleistung und Forschung seit 1993	European Union en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
cambia.org ↗	63 match 2 shared topics	Cambia – Enabling Innovation	en	biotech-and-biomedical-industry WordPress WooCommerce	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.