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Alopecia areata (AA) is a common autoimmune disease and it is challenging to predict which patients will have severe disease.
The clinical presentation of CH in glioma patients mimics idiopathic normal pressure hydrocephalus (NPH), and it is similarly challenging to predict which patients will benefit from VPS. High-volume CSF drainage did not predict outcome after VPS in this study.
But with a few exceptions it remains challenging to predict which particular companies, strategies and technologies will set the future agenda.
Hemodialysis patients carry a high burden of infectious disease, a high mortality with serious infections, and it remains challenging to predict which patients presenting to the ED with fever are bacteremic.
From these studies, it appears that the intrinsic core hierarchy of retinal cell determination is overlaid with a complex weave of transcriptional circuitry that makes it challenging to predict which cell types will arise from particular progenitors.
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Clinicians are challenged to predict which hormonal therapy is the optimal adjuvant treatment for an individual patient.
However, unlike the changes made to the amino acid encoding parts of genes, it is currently a challenge to predict which changes in the rest of the genome will affect gene expression.
Nonetheless it remains a challenge to predict which patients are at greatest risk of relapse and thus may benefit most from adjuvant therapy (McGuire and Clark, 1992; Mansour et al, 1994).
However, the mechanical behaviour of hybrid composites often shows hybrid effects which cannot be modelled by the rule-of-mixtures and are therefore challenging to predict and explain.
It is challenging to predict the positions of side chains without its bound protein.
Consequently, the total effects of the bypasses are challenging to predict.
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