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.

Let me give you an example: 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.
The answer to this example can be: Development and evaluation of an efficient 3 -noncoding region-based SARS coronavirus (SARS-CoV) RT-PCR assay for detection of SARS-CoV
Here is why: 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.

OK. solve this:
ABSTRCT 29 Given the scale and rapid spread of severe acute respiratory syndrome coronavirus 2 30 (SARS-CoV-2, known as 2019-nCov) infection , the ongoing global 31 SARS-CoV-2 outbreak has become a huge public health issue. Rapid and precise 32 diagnostic methods are thus immediately needed for diagnosing COVID-19, 33 providing timely treatment and facilitating infection control. A one-step reverse 34 transcription loop-mediated isothermal amplification (RT-LAMP) coupled with 35 nanoparticles-based biosensor (NBS) assay (RT-LAMP-NBS) was successfully 36 established for rapidly and accurately diagnosing COVID-19. A simple equipment 37 (such as heating block) was required for maintaining a constant temperature (63C) 38 for only 40 min. Using two designed LAMP primer sets, F1ab (opening reading frame 39 1a/b) and np (nucleoprotein) genes of SARS-CoV-2 were simultaneously amplified 40 and detected in a 'one-step' and 'single-tube' reaction, and the detection results were 41 easily interpreted by NBS. The sensitivity of SARS-CoV-2 RT-LAMP-NBS was 12 42 copies (each of detection target) per reaction, and no cross-reactivity was generated 43 from non-SARS-CoV-2 templates. Among clinically diagnosed COVID-19 patients, 44 the analytical sensitivity of SARS-CoV-2 was 100% (33/33) in the oropharynx swab 45 samples, and the assay's specificity was also 100% (96/96) when analyzed the clinical 46 samples collected from non-COVID-19 patients. The total diagnosis test from sample 47 collection to result interpretation only takes approximately 1 h. In sum, the 48 RT-LAMP-NBS is a promising tool for diagnosing the current SARS-CoV-2 49 infection in first line field, public health and clinical laboratories, especially for 50 resource-challenged regions. 51
Answer:
Title Page: 1 Reverse transcription loop-mediated isothermal amplification combined with 2 nanoparticles-based biosensor for diagnosis of COVID-19 3 4 Laboratory of Pediatric Respiratory Infection Disease, National Clinical Research