Post by Malick PAYE

Unlocking biological complexity through AI-powered knowledge graphs

I am extremely proud to announce that D&A MedLabs is now entering the commercialization phase, with our services available through ๐—•๐—ถ๐—ผ๐—ฃ๐—ฎ๐˜๐—ต ๐—ฝ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ, our healthcare ๐—ฑ๐—ฒ๐—ฐ๐—ถ๐˜€๐—ถ๐—ผ๐—ป ๐—ถ๐—ป๐˜๐—ฒ๐—น๐—น๐—ถ๐—ด๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—น๐—ฎ๐˜†๐—ฒ๐—ฟ! Built on one of the most comprehensive biomedical knowledge graphs available in the market with more than 100+ entities and 1.000+ relation types, BioPath integrates: โ–ช๏ธ 400M+ scientific documents โ–ช๏ธ 17K biological targets โ–ช๏ธ 2.9M compounds โ–ช๏ธ 127M patents โ–ช๏ธ 600K clinical trials โ–ช๏ธ 8.5M genomic profiles โ–ช๏ธ 1M+ curated news โ–ช๏ธ 15+ years of claims data (US) โ–ช๏ธ 20+ years of adverse events ย  Covering more than ๐Ÿฑ.๐Ÿฌ๐Ÿฌ๐Ÿฌ clinical conditions and ๐Ÿฏ๐Ÿฌ.๐Ÿฌ๐Ÿฌ๐Ÿฌ+ molecular biomarkers. BioPath is not another drug discovery AI platform. Most AI platforms generate insights, but the real challenge today is turning complex, fragmented evidence into clear and reliable decisions. Thatโ€™s why we position BioPath as a decision intelligence layer. We have structured BioPath around five core high value services: 1๏ธโƒฃ ๐——๐—ถ๐˜€๐—ฒ๐—ฎ๐˜€๐—ฒ ๐— ๐—ฒ๐—ฐ๐—ต๐—ฎ๐—ป๐—ถ๐˜€๐—บ ๐—˜๐—น๐˜‚๐—ฐ๐—ถ๐—ฑ๐—ฎ๐˜๐—ถ๐—ผ๐—ป Understand biological mechanisms behind each of the 5.000 clinical conditions with fully traceable evidence using graph algorithms. 2๏ธโƒฃ ๐— ๐—ผ๐—น๐—ฒ๐—ฐ๐˜‚๐—น๐—ฎ๐—ฟ ๐——๐—ฟ๐—ถ๐˜ƒ๐—ฒ๐—ฟ ๐—ฃ๐—ฟ๐—ถ๐—ผ๐—ฟ๐—ถ๐˜๐—ถ๐˜‡๐—ฎ๐˜๐—ถ๐—ผ๐—ป Leverage a decision framework to identify and prioritize the most impactful biomarkers across 5.000+ clinical conditions and a pool of 30.000+ candidate biomarkers. 3๏ธโƒฃ ๐—ง๐—ต๐—ฒ๐—ฟ๐—ฎ๐—ฝ๐—ฒ๐˜‚๐˜๐—ถ๐—ฐ ๐—ข๐—ฝ๐—ฝ๐—ผ๐—ฟ๐˜๐˜‚๐—ป๐—ถ๐˜๐—ถ๐—ฒ๐˜€ ๐—˜๐˜…๐—ฝ๐—น๐—ผ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป Analyze ongoing and completed trials, with unique enriched strategic information provided by our proprietary clinical trial probability-of-success algorithm. 4๏ธโƒฃ ๐——๐—ฟ๐˜‚๐—ด ๐—ฅ๐—ฒ๐—ฝ๐˜‚๐—ฟ๐—ฝ๐—ผ๐˜€๐—ถ๐—ป๐—ด ๐—ฆ๐˜๐—ฟ๐—ฎ๐˜๐—ฒ๐—ด๐—ถ๐—ฒ๐˜€ Prioritize potential new indications for each of 2.000+ approved drugs based on biological and clinical signals integrated into our repurposing score. 5๏ธโƒฃ ๐—”๐—ฑ๐˜ƒ๐—ฒ๐—ฟ๐˜€๐—ฒ ๐—˜๐˜ƒ๐—ฒ๐—ป๐˜ ๐— ๐—ฒ๐—ฐ๐—ต๐—ฎ๐—ป๐—ถ๐˜€๐—บ๐˜€ ๐—œ๐—ฑ๐—ฒ๐—ป๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป Infer underlying biological mechanisms behind side effects observed in real-world data to uncover novel insights and better understand treatment responses using our hypothesis generation algorithm. What makes BioPath unique is not only the amount of integrated data. Itโ€™s the ability to structure all these dimensions into a coherent, transparent, and scientifically grounded decision framework. Visit our website ๐Ÿ‘‰ https://lnkd.in/e7fFc7GN, book a demo, or even better, join our ongoing pilot! Lyonbiopรดle Auvergne-Rhรดne-Alpes Mze Ali Housni Emmanuel DEJEAN Bruno VIRIEUX Simon Baconnier Fabrice Romano ๐Ÿš€ Bruno Privat Eric Cheminot BIO M. TOKO WOROU (Ph. D) Frederic REYNIER Marie-Angรฉlique Cazalis Julien Marchand Alex Nkengne, PhD Ibrahima PAYE Messalia Beghri Dr. Ibrahima Socรฉ Fall Dominique MARC Pierre Mahรฉ Belen Moscoso del Prado, Lopez-Doriga Eloy Sasot Youssef B. Idelcaid Samir Salah Dr Delphine Kerob Wilfried YENOUSSI Alexandre Merieux Gรฉraud van Gaver Bruno Lacroix

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