DISCO6G focuses on the design and implementation of an integrated sensing and communications system (ISAC) for B5G/6G networks. It seeks to use the network as a distributed sensor, taking advantage of the use of the new millimetre and submillimetre frequencies needed to obtain a higher bandwidth. Sensors integrated in the communication network are developed using machine learning techniques. Two use cases are proposed in the transport and biomedical sectors, which require robust and reliable systems with low latency. The inter-university consortium has been created taking into account physical layer, network architecture, and biomedical profiles.