RSS
Логотип
Баннер в шапке 1
Баннер в шапке 2
Project

As doctors in practice use AI tools of IBM for individual cancer therapy

Customers: University hospital of Geneva (HUG)

Pharmaceutics, medicine, health care

Contractors: IBM
Product: IBM Watson Health
На базе: IBM Watson

Project date: 2019/09

In the middle of September, 2019 the IBM company announced cooperation with university hospital in Geneva (Hôpitaux universitaires de Genève, HUG) for implementation and use of the software of IBM Watson Health on purpose to a genomics research. Thus HUG became the first hospital in Europe which began to use this tool.

The IBM Watson for Genomics tool allows the Geneva oncologists to set exact diagnoses quickly. This AI tool uses the information taken from the reviewed articles and checked by experts, generates on its basis the report for the attending physician and looks for the most suitable treatment on genetic changes in a tumor of the patient.

IBM announced cooperation with university hospital in Geneva for implementation and use of the software of IBM Watson Health

Medical knowledge grows in geometrical progression, and clinical physicians are simply not able to trace all current researches. However the AI tool of IBM allows doctors of HUG to interpret quickly huge arrays of genomic data on different types of cancer and to select the personalized treatment. It is supposed that originally HUG will use the tool only in the most complex cases, but after the year pilot research it is ready to expand a range of patients.

Because of demographic changes the number of malignant cases steadily grows, and cancer will remain to one of the most serious problems of health care which will demand the innovation methods of the solution. In the USA and Asia this AI tool is already used within several years. According to IBM, Watson for Genomics allowed to reveal 33% more mutations, than processing of samples by a manual method. The tool completes the analysis of a genome and results of RNA sequencing in 10 minutes whereas at manual processing it would take 160 hours. Faster purpose of treatment increases chances of patients of survival.[1]

Notes