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 ๐๐ถ๐ผ๐ฃ๐ฎ๐๐ต ๐ฝ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ, our healthcare ๐ฑ๐ฒ๐ฐ๐ถ๐๐ถ๐ผ๐ป ๐ถ๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ ๐น๐ฎ๐๐ฒ๐ฟ! 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: โช๏ธ 400M+ scientific documents โช๏ธ 17K biological targets โช๏ธ 2.9M compounds โช๏ธ 127M patents โช๏ธ 600K clinical trials โช๏ธ 8.5M genomic profiles โช๏ธ 1M+ curated news โช๏ธ 15+ years of claims data (US) โช๏ธ 20+ years of adverse events ย Covering more than ๐ฑ.๐ฌ๐ฌ๐ฌ clinical conditions and ๐ฏ๐ฌ.๐ฌ๐ฌ๐ฌ+ 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. Thatโs why we position BioPath as a decision intelligence layer. We have structured BioPath around five core high value services: 1๏ธโฃ ๐๐ถ๐๐ฒ๐ฎ๐๐ฒ ๐ ๐ฒ๐ฐ๐ต๐ฎ๐ป๐ถ๐๐บ ๐๐น๐๐ฐ๐ถ๐ฑ๐ฎ๐๐ถ๐ผ๐ป Understand biological mechanisms behind each of the 5.000 clinical conditions with fully traceable evidence using graph algorithms. 2๏ธโฃ ๐ ๐ผ๐น๐ฒ๐ฐ๐๐น๐ฎ๐ฟ ๐๐ฟ๐ถ๐๐ฒ๐ฟ ๐ฃ๐ฟ๐ถ๐ผ๐ฟ๐ถ๐๐ถ๐๐ฎ๐๐ถ๐ผ๐ป 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๏ธโฃ ๐ง๐ต๐ฒ๐ฟ๐ฎ๐ฝ๐ฒ๐๐๐ถ๐ฐ ๐ข๐ฝ๐ฝ๐ผ๐ฟ๐๐๐ป๐ถ๐๐ถ๐ฒ๐ ๐๐ ๐ฝ๐น๐ผ๐ฟ๐ฎ๐๐ถ๐ผ๐ป Analyze ongoing and completed trials, with unique enriched strategic information provided by our proprietary clinical trial probability-of-success algorithm. 4๏ธโฃ ๐๐ฟ๐๐ด ๐ฅ๐ฒ๐ฝ๐๐ฟ๐ฝ๐ผ๐๐ถ๐ป๐ด ๐ฆ๐๐ฟ๐ฎ๐๐ฒ๐ด๐ถ๐ฒ๐ Prioritize potential new indications for each of 2.000+ approved drugs based on biological and clinical signals integrated into our repurposing score. 5๏ธโฃ ๐๐ฑ๐๐ฒ๐ฟ๐๐ฒ ๐๐๐ฒ๐ป๐ ๐ ๐ฒ๐ฐ๐ต๐ฎ๐ป๐ถ๐๐บ๐ ๐๐ฑ๐ฒ๐ป๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป 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. Itโs the ability to structure all these dimensions into a coherent, transparent, and scientifically grounded decision framework. Visit our website ๐ 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 ๐ 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