Tag #Leukemia

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Improved Childhood Cancer Survival in the Netherlands

New data from the Dutch Cancer Registry shows that the five-year survival rate for children with cancer has risen from 74 percent (1990-1999) to 84 percent (2010-2018), thanks to improved diagnoses and targeted treatments; however, significant disparities remain across cancer types, with high-grade ...

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nos.nl
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Record Stem Cell Donations in Netherlands, but Future Growth Uncertain

A record 285 Dutch citizens donated stem cells in 2023, aiding patients with leukemia; including German donations, the total reached 323, yet the annual donor increase lags behind the desired rate, raising concerns for the future.

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36% Bias Score

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nos.nl
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Record Stem Cell Donations in Netherlands: Successes and Future Challenges

A record 285 Dutch citizens donated stem cells in 2023, aided by a decade-long increase in registered donors, to treat 9000 annual leukemia diagnoses; however, slower growth and an aging donor pool pose future challenges.

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32% Bias Score

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nos.nl
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Childhood Cancer Survival Rates in the Netherlands Significantly Increase

New data from the Netherlands Cancer Registry shows that the five-year survival rate for children diagnosed with cancer between 2010 and 2018 was 84 percent, compared to 74 percent for those diagnosed between 1990 and 1999; improvements in diagnosis and targeted treatments are responsible for this i...

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32% Bias Score

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nos.nl
🌐 65% Global Worthiness
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Record Stem Cell Donations in Netherlands, but Future Growth Uncertain

In 2023, 285 Dutch citizens (323 including Germany) donated stem cells, a record high, to treat leukemia patients; this follows a decade-long increase in registrations but growth is slower than desired due to the 55-year age limit.

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32% Bias Score

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parma.repubblica.it
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€400,000 Grant Funds Multi-Omic Leukemia Therapy Research at University of Parma

The University of Parma's Translational Hematology and Chemogenomics group received a €400,000 grant to develop personalized therapies for high-risk acute leukemias using a multi-omic model integrating genomic, proteomic, and metabolic data, led by Giovanni Roti in collaboration with Alessio Lodola.

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