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Machine learning in cancer-associated thrombosis: hype or hope in untangling the clot

Rushad Patell, Jeffrey I. Zwicker, Rohan Singh, Simon Mantha

16-05-2024

https://doi.org/10.4081/btvb.2024.123

1564

PDF: 464
Artificial intelligence and machine learning in hemostasis and thrombosis

Paolo Gresele

30-12-2023

https://doi.org/10.4081/btvb.2023.105

2641

PDF: 559
The evolution of hemostasis genetics: from monogenic disorders to complex traits. A historical perspective

Augusto Di Castelnuovo

01-07-2025

https://doi.org/10.4081/btvb.2025.184

847

PDF: 147

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