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DnD | Data Science for Clinical Discovery — 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
datascienceforbio.com ↗	75 match 1 shared topics	Data Science For Bio	en	biotech-and-biomedical-industry WordPress	robotsllmsaihumans	emailphone	partial · 8
staburo.com ↗	73 match 1 shared topics	Data Science and Biostatistics for Clinical Research \| Staburo	en	biotech-and-biomedical-industry WordPress	robotsllmsaihumans	email phone	none
biopta.co.uk ↗	71 match 1 shared topics	Preclinical and Drug Discovery CRO: Clinical & Translational Science Lab	United Kingdom en	biotech-and-biomedical-industry HubSpot	robotsllmsaihumans	emailphone	none
annexclinical.com ↗	71 match 1 shared topics	Clinical Data Insights	en	biotech-and-biomedical-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
replior.com ↗	70 match 1 shared topics	Replior: Data Collection Solutions for Clinical Trials	en	biotech-and-biomedical-industry WordPress	robotsllmsaihumans	emailphone	none
clinicalpick.co.uk ↗	70 match 1 shared topics	Clinical Pick Ltd	United Kingdom en	biotech-and-biomedical-industry Squarespace	robotsllmsaihumans	emailphone	none
medarcresearch.com ↗	70 match 1 shared topics	MedArc Clinical Research	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
data4science.com ↗	70 match 1 shared topics	Home \| Data4Science	en	biotech-and-biomedical-industry Wix	robotsllmsaihumans	emailphone	none
databean.com ↗	70 match 1 shared topics	Databean \| Clinical Research Innovation	en	biotech-and-biomedical-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
bsi-lifesciences.com ↗	70 match 1 shared topics	BSI CTMS & eTMF software for clinical trials - BSI Life Sciences	United States~ en	biotech-and-biomedical-industry TYPO3	robotsllmsaihumans	email phone	none
datamed.org ↗	70 match 1 shared topics	DataMed Data Discovery Index	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
resonantclinical.com ↗	69 match 1 shared topics	Resonant Clinical \| Solutions for Life Science Challenges	en	biotech-and-biomedical-industry WordPress	robotsllmsaihumans	emailphone	none
datatrak.com ↗	69 match 1 shared topics	Clinical Trial Data Management & EDC System \| Datatrak	en	biotech-and-biomedical-industry	robots llmsaihumans	emailphone	none
3dxcell.com ↗	69 match 1 shared topics	3DxCell \| Organoid-Based Preclinical Solutions \| Drug Discovery	Sweden~ en	biotech-and-biomedical-industry	robots llmsaihumans	email phone	partial · 6
bayesianscience.org ↗	69 match 1 shared topics	BayesianScience — What Clinical Trial Should Be Funded Next?	en	biotech-and-biomedical-industry	robotsllmsaihumans	emailphone	none
datatend.io ↗	68 match 1 shared topics	DataTend - Clinical Trial Data Management Solutions	en	biotech-and-biomedical-industry Spree Commerce	robotsllmsaihumans	emailphone	none
visionwareclinical.com ↗	68 match 1 shared topics	Medical Devices CRO – Visionware clinical	en	biotech-and-biomedical-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
datadrill.io ↗	68 match 1 shared topics	Software & Data Engineering for Life Sciences \| DataDrill	Serbia~ 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.