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19 papers read · 17 surfaced · 2 stood out
Today's lead · Diagnostics
Interpretable machine learning model using peripheral blood for…
A blood test using machine learning identifies aggressive myelofibrosis early, revealing inflammation as a driver that some existing drugs might help reverse.
Hao Z, Song M, Wang H et al. · British Journal of Haematology
8/10
Impact score
Time to impact (est.)
- Lab
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Novel or significantly improved treatment
HRDetect in Tubo-ovarian Carcinoma
Detailed genetic analysis refines ovarian cancer into more precise groups, helping doctors predict which patients benefit most from PARP inhibitor treatment.
Early cancer detection or preventionDetection of Ultralow-Frequency ctDNA Mutations Using a Dual…
A new genetic test detects cancer DNA in blood 250 times better than before, making early cancer detection possible with standard equipment.
Early cancer detection or preventionEmerging Biomarkers for the Early Detection of High-Grade Serous…
DNA-based liquid biopsies show promise for screening ovarian cancer widely, though better tests are still needed before they can prevent deaths.
Novel or significantly improved treatmentEffect of prior anti-EGFR therapy and baseline ctDNA profiling on the…
A blood test identifies patients likely to fail combination HER2 therapy in colorectal cancer, helping doctors avoid ineffective treatments.