Together we work on research
for the medicine of the future

Data in Precision Medicine

New developments in medicine are coming thick and fast. Technological advances are increasingly making it possible to understand diseases and the processes taking place in the human body down to the level of individual genes and cells. This brings definite benefits for patients. The earlier an accurate diagnosis can be made and the more precisely a disease can be treated, the greater the prospects of a cure or an improvement in the patient’s quality of life. Nowadays, treatments can be tailored to individual patients more and more effectively. This is what is known as precision medicine and the pioneering field in this area is oncology. We now know that every tumor is unique. If we can analyze the genome of tumor cells, for example, we will have a better chance of making a targeted attack on their weak points.

Gene analyses of this kind and other modern diagnostic methods produce large volumes of data. Artificial intelligence makes it easier to evaluate these data and, for instance, to detect patterns that indicate why diseases occur. Therefore, the hope is that it will be possible in the future to prevent, diagnose and treat many diseases much more effectively than in the past.

The growing volume of data in the field of medicine must be used in order to achieve this. The central elements of this process are the interdisciplinary cooperation between researchers at the interfaces to medicine – for example from the fields of informatics, biomedicine and law – and the involvement of the patients, because we can only shape the medicine of the future by working together as a society. To gain a better understanding of the accompanying opportunities, we have shone a spotlight on different aspects of this subject. They range from a common platform for data sharing to groundbreaking new technologies and questions of ethics and data protection.

Projects Carousel

Two researchers take blood samples out of a freezer at a laboratory

The effect of pre-existing conditions on the progression of COVID-19

Institutions involved
2
Team size

>

20
External funding sources
3
External funding

in CHF millions

0.8
Project lead Cathérine Gebhard analyses patient data on the computer.

COVID-19: Different disease progression in women and men

Institutions involved
3
Team size

>

25
External Funding sources
1
External funding

in CHF millions

0.76

Robots with a deft touch

Institutions involved
2
Team size
40
External funding sources
1
External Funding

in EUR millions

3

Precision medicine to combat obesity

Institutions involved
3
Team size
25
External funding sources
1
External Funding

in CHF millions

5

Hard on the heels of tumors

Institutions involved
3
Team size
100

Research brings hope for children with aggressive brain tumors

Institutions involved
4
Team size
16
External funding sources
5
External Funding

in CHF millions

>5

Gut bacteria: the smart helper in the fight against cancer

Institutions involved
2
Team size
10
External funding sources
1
External funding

in CHF millions

1.65
Detailed recordings are being made of a study participant's movements in a laboratory.

Mobility for stroke and Parkinson’s patients

Institutions involved
4
Team size
15
External funding sources
1
External funding

in CHF millions

5

Bacteria-eaters combat bladder infections

Institutions involved
4
Team size

>

15
External funding sources
1
External funding

in CHF millions

1
In the operating theatre

Highly innovative technology revolutionizes spinal operations

Institutions involved
4
Team size

>

10
External funding sources
1
External funding

in CHF millions

1
Working with the support of a pipetting robot

Precision medicine for children and adults with blood cancer

Institutions involved
4
Team size

>

15
External funding sources
1
External funding

in CHF millions

5
Two researchers take blood samples out of a freezer at a laboratory

The effect of pre-existing conditions on the progression of COVID-19

Institutions involved
2
Team size

>

20
External funding sources
3
External funding

in CHF millions

0.8
Project lead Cathérine Gebhard analyses patient data on the computer.

COVID-19: Different disease progression in women and men

Institutions involved
3
Team size

>

25
External Funding sources
1
External funding

in CHF millions

0.76

Robots with a deft touch

Institutions involved
2
Team size
40
External funding sources
1
External Funding

in EUR millions

3

Precision medicine to combat obesity

Institutions involved
3
Team size
25
External funding sources
1
External Funding

in CHF millions

5

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