MACHINE LEARNING-BASED MATHEMATICAL EQUATIONS FOR DENGUE POSITIVITY DETECTION USING ELEMENTARY LABORATORY PARAMETERS

Machine learning-based mathematical equations for dengue positivity detection using elementary laboratory parameters

Objectives: Dengue is a common and important arboviral infection transmitted by the domestic Aedes aegypti mosquito.Dengue has managed to create a huge burden on public health globally.Severe dengue may prove to be fatal.Hence, early recognition of severe cases is essential for proper management.However, the traditional methods of dengue diagnosis

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Proteome profiling of neuroblastoma-derived exosomes reveal the expression of proteins potentially involved in tumor progression.

Neuroblastoma (NB) is the most common extracranial solid tumor in childhood, with grim prognosis in a half of patients.Exosomes are nanometer-sized membrane vesicles derived from the multivesicular bodies (MVBs) of the endocytic pathway and released by normal and neoplastic cells.Tumor-derived exosomes have been shown in different model systems to

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Integration of sensory quanta in cuneate nucleus neurons in vivo.

Discriminative touch relies on afferent information carried to the central nervous system by action potentials (spikes) in ensembles of primary afferents bundled in peripheral nerves.These sensory quanta are first processed by the cuneate nucleus before the afferent information CINNAMON is transmitted to brain networks serving specific perceptual a

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Genome-wide Association Study for Yield and Yield-Related Traits in Diverse Blackgram Panel (Vigna mungo L. Hepper) Reveals Novel Putative Alleles for Future Breeding Programs

Blackgram (Vigna mungo L.Hepper) is an important tropical and sub-tropical short-duration legume that is rich in dietary protein and micronutrients.Producing high-yielding blackgram varieties is hampered by insufficient genetic variability, absence of suitable ideotypes, low harvest index and susceptibility to biotic-abiotic stresses.Seed yield, a

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