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54match
diagnomedics.com
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0 co-citations8 shared tech1 shared categorybiotech-and-biomedical-industry
46match
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44match
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0 co-citations3 shared tech1 shared categorybiotech-and-biomedical-industry
42match
advitamlab.com
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0 co-citations3 shared tech1 shared categorybiotech-and-biomedical-industry
42match
baltruslab.com
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0 co-citations3 shared tech1 shared categorybiotech-and-biomedical-industry
41match
majnusz.com
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0 co-citations2 shared tech1 shared categorybiotech-and-biomedical-industry
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genespector.com
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0 co-citations2 shared tech1 shared categorybiotech-and-biomedical-industry
41match
genoprice.com
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0 co-citations2 shared tech1 shared categorybiotech-and-biomedical-industry
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genomic-pharma.com
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0 co-citations2 shared tech1 shared categorybiotech-and-biomedical-industry
41match
geoinpro.com
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0 co-citations2 shared tech1 shared categorybiotech-and-biomedical-industry
40match
greenlab.com
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cellula-biopharma.com
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cornellsci.com
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40match
embryyo.com
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heterogeneity-llc.com
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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:

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.