Knowledge Management in Precision Medicine (IAM-KMP)
The team "Knowledge Management in Precision Medicine" wants to provide software solutions to support the Precision Medicine process from analysis to personalized therapy recommendation.
Following conventional therapy standards, patients are treated with a disease-specific drug therapy after a diagnosis has been made. Since people can react to drugs differently, patients often exhibit severe side effects or show no response at all. Based on the "trial-and-error" principle, the drug dosage gets changed, or a different therapy is tried until a suitable therapy is identified. The ineffectiveness rate of current therapies is very high.
In contrast to the classical therapy approach, Precision Medicine uses a comprehensive molecular, cellular, and functional analysis to define the disease more precisely right from the start. In this way, individual predispositions can be included in the therapy, a better prediction of the efficacy and dose of a drug treatment can be made, as well as side effects minimized in advance.
Significant advances in recent decades in omics data generation technologies have made these comprehensive analyses, and thus Personalized Medicine, possible. The cost for sequencing of one genome has dropped from $2.7 trillion in 2003 to $1000 in 2012, and the $100 genome is within reach. While it took years to analyze a genome in 2003, today this can be done in a matter of hours. These developments have led to the generation of an unprecedented amount and variety of biomedical data, which is likely to further increase in the coming years.
The biomedical research data for the interpretation of novel findings is stored in various external sources - genetic databases, pathway databases or in the form of publications. To make this data usable, it must be structured and merged with internal patient data. Here, IT solutions are needed to support physicians from the evaluation of the analysis to the therapy decision and to automate this process as far as possible. Only with smart, digital knowledge management can individualized treatment be offered to as many patients as possible.