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Development of a mathematical model for thrombosis risk prediction using serum biomarkers
Dan Croitoru1, Iurie Trohin1, Ecaterina Pavlovschi2, Oleg Arnaut3, Eugen Cerevan4
https://doi.org/10.52645/MJHS.2025.2.03
Thrombosis is a frequently underdiagnosed condition associated with high mortality in neglected cases. Many factors, including geoheliophysical and biochemical ones, are responsible for thrombosis modulation. Routine investigations may sometimes be inconsistent and, thus, unreliable in a clinical setting.