Democratizing precision oncology with SCORPIO

IF 58.7 1区医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY

Nature Medicine Pub Date : 2025-01-28 DOI:10.1038/s41591-025-03514-z

引用次数: 0

Abstract

SCORPIO is a machine learning system that predicts the efficacy of therapy with immune checkpoint inhibitors in patients with cancer, using only routine blood tests and basic clinical data. Predictions using SCORPIO were more accurate than those using FDA-approved biomarkers such as tumor mutational burden and PD-L1 expression, suggesting that SCORPIO offers a reliable, noninvasive and widely accessible tool to advance precision oncology for patients globally.

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来源期刊

Nature Medicine 医学-生化与分子生物学

CiteScore

100.90

自引率

0.70%

发文量

525

审稿时长

1 months

期刊介绍： Nature Medicine is a monthly journal publishing original peer-reviewed research in all areas of medicine. The publication focuses on originality, timeliness, interdisciplinary interest, and the impact on improving human health. In addition to research articles, Nature Medicine also publishes commissioned content such as News, Reviews, and Perspectives. This content aims to provide context for the latest advances in translational and clinical research, reaching a wide audience of M.D. and Ph.D. readers. All editorial decisions for the journal are made by a team of full-time professional editors. Nature Medicine consider all types of clinical research, including: -Case-reports and small case series -Clinical trials, whether phase 1, 2, 3 or 4 -Observational studies -Meta-analyses -Biomarker studies -Public and global health studies Nature Medicine is also committed to facilitating communication between translational and clinical researchers. As such, we consider “hybrid” studies with preclinical and translational findings reported alongside data from clinical studies.