Avatar Medicine (2)

Avatar medicine uses medical research and development, clinical consultation, detection and diagnosis, and treatment assistance based on individualized samples or data. By using physical or virtual avatars instead of the human body, Avatar medicine is able to decrease the risks, as well as time and distance constraints, that can come with using patients’ actual bodies for tests.

Traditional medicine mainly uses patients’ own symptom descriptions and routine examinations to diagnose diseases through clinical data and physician experience. When a disease is diagnosed, the same treatment plans or medication options are often recommended for similar diseases. However, in reality, these treatment effects vary widely based on the patients, even if they have the same disease. In order to break the myth of a “one-size-fits-all medicine”, a new generation of personalized precision medicine has been launched, which focuses more on the biomolecules of the disease (DNA, protein, metabolism). After comparing and analyzing the patient's disease development with the database, it can help doctors more accurately predict and narrow the treatment plan, increasing the medicine’s efficiency compared to traditional medicine.

Although genetic testing can use the different genomic information of individuals to provide similar tests, many medical industries are focusing on improving the shortcomings of these surrogate medicine. Currently, the main problem with genetic testing lies in the fact that it tends to ignore disease heterogeneity, and it cannot reflect the dynamic interactions between biomolecules in the human body, such as gene-protein, protein-protein, and protein-metabolite interactions. There has been a long history of using surrogate medicine to help diseases such as diabetes, Parkinson's disease, and cancer. In modern times, it is now important to open the door to precision medicine to allow for a future of smarter cancer medicine. This medical revolution will help achieve the goal of helping patients maximize treatment while minimizing side effects.

References

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