Detailed Instructions: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
See one example below:
Problem: The severe acute respiratory syndrome (SARS) epidemic originating from China in 2002 was caused by a previously uncharacterized coronavirus that could be identified by specific RT-PCR amplification. Efforts to control future SARS outbreaks depend on the accurate and early identification of SARS-CoV infected patients. A real-time fluorogenic RT-PCR assay based on the 3 -noncoding region (3 -NCR) of SARS-CoV genome was developed as a quantitative SARS diagnostic tool. The ideal amplification efficiency of a sensitive SARS-CoV RT-PCR assay should yield an E value (PCR product concentration increase per amplification cycle) equal to 2.0. It was demonstrated that the 3 -NCR SARS-CoV based RT-PCR reactions could be formulated to reach excellent E values of 1.81, or 91% amplification efficacy. The SARS-CoV cDNA preparations derived from viral RNA extract and the cloned recombinant plasmid both exhibit the identical amplification characteristics, i.e. amplification efficacy using the same PCR formulation developed in this study. The viral genomic copy (or genomic equivalences, GE) per infectious unit (GE/pfu) of SARS-CoV used in this study was also established to be approximate 1200-1600:1. The assay's detection sensitivity could reach 0.005 pfu or 6-8 GE per assay. It was preliminarily demonstrated that the assay could efficiently detect SARS-CoV from clinical specimens of SARS probable and suspected patients identified in Taiwan. The 3 -NCR based SARS-CoV assay demonstrated 100% diagnostic specificity testing samples of patients with acute respiratory disease from a non-SARS epidemic region.
Solution: Development and evaluation of an efficient 3 -noncoding region-based SARS coronavirus (SARS-CoV) RT-PCR assay for detection of SARS-CoV
Explanation: It's a correct title because the paragraph described the development of 3 -noncoding region of SARS-CoV genome and assay efficiently detecting SARS-CoV from clinical specimens.

Problem: Introduction Streptococcus pyogenes (group A Streptococcus, GAS) is responsible for a variety of highly communicable infections, accounting for 5-15 and 20-30% of sore throat hospital visits in adults and children, respectively. Prompt diagnosis of GAS can improve the quality of patient care and minimize the unnecessary use of antibiotics. Objective Our objective was to develop an alternative nucleic acid amplification method for the diagnosis of GAS. Method We developed and evaluated a strand invasion based amplification (SIBA) assay to rapidly and specifically detect GAS. The performance of the developed GAS SIBA assay was compared with an established GAS polymerase chain reaction (PCR) assay. Results The GAS SIBA assay detected small amounts (ten copies) of S. pyogenes DNA within 13 min. The rapid detection time was achieved in part by optimization of magnesium concentration and reaction temperature. The sensitivity and specificity of the GAS SIBA assay for detection of S. pyogenes from clinical specimens were both 100%, and clinical specimens were detected within ~ 8 min of starting the reaction. Conclusion Because the GAS SIBA assay is performed at low and constant temperature, it can be used both in centralized laboratories and for point-of-care testing. Furthermore, given its short detection time and strong analytical performance, the GAS SIBA assay could help to improve patient care and minimize unnecessary prescription of antibiotics. A novel isothermal nucleic acid amplification method, strand invasion based amplification (SIBA), was developed for the rapid and specific detection of Streptococcus pyogenes. The method specifically detected S. pyogenes within 8 min from clinical specimens and can be potentially use within a point-of-care setting.
Solution:
Molecular Detection of Streptococcus pyogenes by Strand Invasion Based Amplification Assay