When it comes to DNA analysis, large-scale pattern matching algorithms are constantly being refined to add a performance and efficiency boost to speed the time to result and accordingly, the practical ...

We introduce a pattern-matching technique for efficient identification of fluorophore ratios in complex multidimensional fluorescence signals using reference fluorescence decay and spectral signature ...

Pattern matching (PM) was first introduced as the semiconductor industry began to shift from simple one-dimensional rule checks to the two-dimensional checks required by sub-resolution lithography.

Among the most elementary examples of machine learning is the one Google provides on identifying iris flowers via its Tensorflow machine learning framework. Artificial intelligence (AI) practitioners ...

The coming requirements of greater accuracy and reliability in a range of challenging environments for a multitude of mission-critical applications require a multisensor approach and an over-arching ...

The premise of precision medicine is rooted in the hypothesis that diseases are heterogeneous and that each person’s disease is unique; therefore, that person needs to be treated as an individual. 1 ...

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