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The phrase "are valuable for predicting" is correct and usable in written English.
It can be used when discussing the usefulness or significance of certain factors or data in making predictions about future events or outcomes.
Example: "The historical data and trends are valuable for predicting future market behavior."
Alternatives: "are useful for forecasting" or "are significant for anticipating".
Exact(3)
Obtained results are valuable for predicting fracture behavior of the cracked steering wheel and can be taken as a reference for design and exploitation process of such component.
These results suggest that combined use of low PG I level and PG I/II ratio are valuable for predicting gastric tumors.
Despite the potential for imperfect linkage disequilibrium between SNP markers and resistance alleles, the significant positive correlation between marker and phenotype indicates that these SNPs are valuable for predicting resistance risk.
Similar(57)
Such determinations will ultimately be valuable for predicting ductility of cast Al, since a primary source of damage is cracking of eutectic Si particles.
Simulations obtained with the developed model can be valuable for predicting accurate drying times and consequently to design, control and optimise the production of dried foods.
In addition, analysis of stent graft movement in individual patients in vivo can be valuable for predicting stent graft failure in these patients.
It is observed that the 2D CPFD model is valuable for predicting particle flows in the feeding near region keeping it unaffected by fast fluidized bed upsets such as suspension chocking.
Having highly efficient detection and noninvasive isolation capabilities, we have demonstrated that our RAN-based Raman imaging method will be valuable for predicting cancer metastasis and relapse via CCSC detection.
This is valuable for predicting the potential impact of environmental change on species of interest.
Adrenomedullin is valuable for predicting development of severe sepsis and septic shock in ED.
Tumor enhancement with non-enhanced areas was valuable for predicting poorly differentiated HCC.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com