Post by Evotec

We are pleased to share a new review published in 𝗙𝗿𝗼𝗻𝘁𝗶𝗲𝗿𝘀 𝗶𝗻 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗕𝗶𝗼𝗹𝗼𝗴𝘆, with contributions from Evotec colleagues together with collaborators from Inserm, CNRS and Université de Toulouse. The review explores how multilayer networks can serve as a foundation for 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝘄𝗶𝗻𝘀 in cancer research, providing a framework to integrate diverse biological data types while preserving the complex interactions that drive disease. Key highlights: 🔹Overview of current multi-omics integration strategies and their limitations 🔹Multilayer network approaches for connecting genomic, transcriptomic, proteomic, and other molecular data 🔹Opportunities to build interpretable, patient-specific Digital Twins for precision oncology 🔹Discussion of future challenges, including longitudinal data integration, mechanistic modeling, and clinical implementation At Evotec, systems biology, network medicine, and AI-driven approaches are key components of our In Silico R&D capabilities. This work highlights how the integration of heterogeneous biological data into mechanistic models could support the next generation of predictive and personalized healthcare solutions. 🔗 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗿𝗲𝘃𝗶𝗲𝘄 𝗵𝗲𝗿𝗲: https://okt.to/JdhY9x Hugo Chenel #TimJames Andrei Zinovyev #VeraPancaldi Malvina Marku