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.

Example Input: Background/Aims: Interferon and ribavirin combination therapy for chronic hepatitis C induces a low response rate in human immunodeficiency virus (HIV) infected patients. To assess the impact of intensification of interferon administration and of the addition of amantadine on the efficacy and safety of standard anti-hepatitis C virus (HCV) treatment in HIV-infected patients. Methods: Multicentre, prospective, open-label, randomized, phase III clinical trial. Eighty co-infected patients were randomized to receive ribavirin 800 -1000 mg/day in combination with, group A: interferon alpha2a 3 MIU thrice weekly; group B: IFNa2a 3 MIU daily, plus amantadine 200 mg/day; treatment duration was 24 -48 weeks according to HCV genotype. Results: Forty-one patients were randomized in group A and 39 in group B. Intention-to-treat analysis showed a sustained virological response, defined as HCV-RNA negativization, 6 months after stopping treatment in 22% of patients from group A and 13% from group B (P > 0.05). The lack of a 2-log drop in HCV-RNA levels after 12 weeks of treatment showed a 100% predictive value of lack of sustained response. Conclusions: Amantadine addition and interferon intensification do not improve the low efficacy of combination of interferon alfa plus ribavirin in HIV/HCV co-infected patients. Patients with no early virologic response did not have any probability of sustained response. q
Example Output: A randomized, controlled trial of triple antiviral therapy as initial treatment of chronic hepatitis C in HIV-infected patients q

Example Input: Over the past several decades, significant advances have been made in identifying factors that contribute to the pathogenesis of multiple sclerosis (MS) and have culminated in the approval of some effective therapeutic strategies for disease intervention. However, the mechanisms by which environmental factors, such as infection, contribute to the pathogenesis and/or symptom exacerbation remain to be fully elucidated. Relapse frequency in MS patients contributes to neurological impairment and, in the initial phases of disease, serves as a predictor of poor disease prognosis. The purpose of this review is to examine the evidence that supports a role for peripheral infection in modulating the natural history of this disease. Evidence supporting a role for infection in promoting exacerbation in animal models of MS is also reviewed. Finally, a few mechanisms by which infection may exacerbate symptoms of MS and other neurological diseases are discussed. Those who comprise the majority of MS patients acquire approximately two upper-respiratory infections per year; furthermore, this type of infection doubles the risk for MS relapse, underscoring the contribution of this relationship as being potentially important and particularly detrimental.
Example Output: infection as an environmental trigger of multiple sclerosis disease exacerbation

Example Input: Identifying recombinant sequences in an era of large genomic databases is challenging as it requires an efficient algorithm to identify candidate recombinants and parents, as well as appropriate statistical methods to correct for the large number of comparisons performed. In 2007, a computation was introduced for an exact nonparametric mosaicism statistic that gave high-precision P values for putative recombinants. This exact computation meant that multiplecomparisons corrected P values also had high precision, which is crucial when performing millions or billions of tests in large databases. Here, we introduce an improvement to the algorithmic complexity of this computation from O(mn 3 ) to O(mn 2 ), where m and n are the numbers of recombination-informative sites in the candidate recombinant. This new computation allows for recombination analysis to be performed in alignments with thousands of polymorphic sites. Benchmark runs are presented on viral genome sequence alignments, new features are introduced, and applications outside recombination analysis are discussed.
Example Output:
Improved Algorithmic Complexity for the 3SEQ Recombination Detection Algorithm