Innovative Cancer Treatment Tailored to Each Patient: Will It Reach Israel?

Personalized medicine is considered one of the most promising fields in oncology, and one of the largest projects in the field is now underway. Researchers, supported by the U.S. National Institutes of Health (NIH), have announced the creation of a comprehensive repository of human cancer tumor models, collected from thousands of patients and representing 25 different types of cancer. The project aims to accelerate drug development and tailor treatments more precisely to each patient.

Now14Author: Yael Anker
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Innovative Cancer Treatment Tailored to Each Patient: Will It Reach Israel?
Photo: Now14 / אילוסטרציה | צילום: קנבה

Personalized medicine is considered one of the most promising fields in oncology, and one of the largest projects in the field is now underway. Researchers, supported by the U.S. National Institutes of Health (NIH), have announced the creation of a comprehensive repository of human cancer tumor models, collected from thousands of patients and representing 25 different types of cancer. The project aims to accelerate drug development and tailor treatments more precisely to each patient.

A Repository That Could Change Cancer Research

According to the NIH announcement, the new repository includes models built from real patient tumor tissues, allowing researchers to examine how different tumors respond to treatments even before clinical trials in humans. This means that researchers will be able to test new drugs on models that are more similar to actual tumors, identify which treatments are expected to be effective for different groups of patients, and develop more precise treatment strategies. The researchers expect the repository to be available to the international research community, accelerating collaborations between medical centers and scientists around the world.

Hope for Personalized Medicine

Although this is currently a research stage rather than a new treatment available to patients, experts estimate that this is an important infrastructure that may significantly shorten the drug development process in the future. The researchers emphasize that the closer the models are to the patients' actual tumors, the more precise treatments can be developed, reducing trial and error and improving the success rates of new drugs.

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