KI - Künstliche Intelligenz - CfP Special Issue: AI for Precision Medicine

Personalized Precision Medicine takes into account individual differences in genetics, physiology, environment and lifestyle of patients with the aim of finding the most targeted strategy to treat or prevent a disease while minimizing unwanted side effects. Personalized Precision Medicine is based on Artificial Intelligence methods that distill such therapy recommendations from a patient's molecular characteristics and explain them to the treating physician and also to the patient (XAI). In this way, we are building a bridge from computer science, data science and HPC to medicine, preclinical medicine and biochemistry.

This special issue aims at providing an overview of work in Personalized Precision Medicine and the public sector regarding, but not limited to, the following topics:

- Data analysis techniques for naturalistic data sets

- Applications of Machine Learning for Precision Medicine

- Tools and methods for data acquisition and preprocessing

- Free Access to data sets and unified terminologies for meta data

- Human-in-the-Loop approaches for data analysis, teaching of junior experts, and communication with patients

The special issue welcomes technical contributions (of up to 20 pages), abstracts (4 pages), e.g., on doctoral theses or habilitations, system descriptions (usually 4 pages), project reports (usually 4 pages), or discussion articles (4-16 pages).

All submissions will be peer-reviewed.

Submission is closed.

Contact:

Rainer Spang (University of Regensburg, Germany), rainer.spang@klinik.uni-regensburg.de (this opens in a new tab)

Bernd Ludwig (University of Regensburg, Germany), bernd.ludwig@ur.de (this opens in a new tab)