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:
A total of 1002 patients were recruited and 892 were enrolled (110 were excluded based on pre-determined exclusion criteria). Based on the reference standard process described in the 'Methods' section, patients were assigned to four different diagnosis groups: (i) bacterial; (ii) viral; (iii) no apparent infectious disease or healthy (controls); and (iv) indeterminate. Patients diagnosed by the panel as having mixed infections (bacteria plus virus) were labeled as bacterial because they are managed similarly (e.g. treated with antibiotics) (see 'Methods', Fig. 1A ). In total, 89% of all enrolled patients were assigned a diagnosis, a rate which approaches the literature-documented limit [1-3]. The following sections provide a detailed description of patient characteristics, which includes all the patients with a final diagnosis (n=794): 765 patients included in the study cohort and 29 patients for which the serum samples were depleted during the screening phase (Fig. 1). Patients of all ages were recruited to the study. The patients with agreed diagnosis (diagnosed patients; n=794) included more pediatric (18 years) than adult (>18 years) patients (445 patients [56%] vs 349 [44%]). The age distribution was relatively uniform for patients aged 20-80 years and peaked at <4 years of age for pediatric patients (Fig. S2) . The observed age distribution for pediatric patients is consistent with that expected and represents the background distribution in the inpatient setting [4] (e.g., the emergency department [ED], pediatrics departments, and internal departments). Patients of both genders were recruited to the study. The patient population was balanced in respect to gender distribution (47% females, 53% males).
Answer:
3. Supporting Information S3 -Cohort characteristics 3.1. Summary of the patient cohorts used in this study