A community focusing on teaching & learning and creativity that gathers frontline teachers and students on science along with developers on open source. With offline learning of technicals, sharing of experiences and instructing of practice, regularly and periodically, it will promote the innovation of researches on data science and its applied translation for clinical diagnosis and treatment.
In particular, the open-source of software for basic management of information (Drupal, Django, Docker, etc), data science (R, Python) and artificial intelligence (Neo4j, TensorFlow, OpenCV, etc.), as well as of hardware for smart devices (OpenWRT, Home-Assitant, Arduino, Raspberry Pi, etc.) are boosted to teach, learn and communicate, which may push forward to the exploration of major scientific and clinical applications including biological big data mining, basic biological rules, clinical diagnosis and treatment of tumors, development of therapeutic drugs, and medical health management.
