Computational Medicine Society

Aims of the Computational Medicine Society:

  1. To foster a deeper understanding of computational techniques and their application to medicine, specifically through the lens of computational neuroscience.
  2. To empower medical students with essential skills in Python programming and data analysis, enabling them to integrate computational tools into clinical and research practice.
  3. To create a collaborative community that encourages knowledge sharing, skill development, and critical discussion on the intersection of technology, medicine, and neuroscience.

Objectives of the Computational Medicine Society:

  1. Educational Workshops: Host workshops that introduce members to computational methods, with an emphasis on their application in neuroscience and other medical domains. Topics will include biophysical modelling, signal analysis, and machine learning
  2. Offer hands-on sessions to teach Python programming, data visualisation, and statistical analysis techniques. These skills are aimed to enhance the capabilities of future doctors in handling medical data effectively.
  3. Collaboration Projects: Facilitate small-scale collaborative projects where members can apply computational techniques to solve simplified real-world problems related to neuroscience and medicine. These projects will also help members practice teamwork and gain practical experience.
  4. Skill Development for Clinical Relevance: Focus on bridging the gap between computational knowledge and practical application in medicine, thereby preparing members to integrate computational methods into clinical settings and research initiatives.