Sentence examples for methods currently developed from inspiring English sources

Almost all the gene delivery methods currently developed have insufficient ability to specifically recognize and target diseased cells and to distinguish them from normal cells, especially in the same tissue or organ.

With the methods currently developed, we have greatly increased the capacity to detect corneas that are suspicious of keratoconus, although with it brings an increase in false positives in our clinical daily practice.

One of the practical consequences of this hypothesis is that the methods currently being developed developed to detect and resist the spread of the white spot syndrome in penaeid shrimp aquaculture [ 47– 50] would require adjustments to target multiple species from the same group.

A range of high-throughput methods are currently developed for model species such as humans, but their use in non-model species with large genome size, high level of ploidy or redundancy is often a challenge [22].

An optimization method is currently developed to determine automatically best parameters of the proposed method.

One such method being currently developed is the hybrid process combining additive, subtractive and inspection processes for the manufacture of complex part geometries from any given raw material in terms of shape and size.

The MP method is currently developed only for integer-valued responses or responses that can be cast in this form.

The automatic program verification methods that are currently developed (see e.g. 22 for a non-trivial practical application) will become available for scientific software.

One of the main pond methods currently being developed and which is rapidly increasing in volume is the use of covered oxygenated ponds, with water passing to and from the ponds via a reservoir/biofilter.

Generally, phase ambiguities rise frequently in conserved regions or sequences with a reduced incidence of widely spaced SNPs and cannot be excluded by the currently developed methods.

Although reverse engineering methods such as Boolean networks [ 1], Bayesian networks [ 2, 3], dynamic Bayesian networks [ 4, 5], multivariate regression methods [ 6- 8], linear programming [ 9], genetic algorithm [ 10] and information theoretic [ 11] approaches have been applied to deduce the circuitry of signaling and gene networks, all currently developed methods have significant limitations.