Comput Intell Neurosci
September 2022
One of the most prevalent diseases that can be initially identified by visual inspection and further identified with the use of dermoscopic examination and other testing is skin cancer. Since eye observation provides the earliest opportunity for artificial intelligence to intercept various skin images, some skin lesion classification algorithms based on deep learning and annotated skin photos display improved outcomes. The researcher used a variety of strategies and methods to identify and stop diseases earlier.
View Article and Find Full Text PDFTwenty-three CSFV isolates recovered from field outbreaks in various parts of India during 2006-2009 were used for genetic analysis in the NS5B region (409 nts). Seventeen of these were studied earlier [16] in the 5'UTR region. Phylogenetic analysis indicated the continued dominance of subgroup 1.
View Article and Find Full Text PDFBackground: Two epidemics of chikungunya fever were reported from Kerala in 2006 and 2007. We aimed to investigate the environmental factors of households affected by chikungunya fever and to estimate the proportion of population that suffered from the disease during the epidemic in 2007.
Methods: A cross-sectional survey was conducted in the 5 heavily affected districts of Kerala during October-November 2007.
Seventeen classical swine fever virus (CSFV) isolates recovered during the period of 3 years (2006-2008) from India were subjected to nucleotide sequencing in the 5' untranslated region (UTR). For genetic typing, 150 nucleotides within this region were used. For better epizootiological understanding, 39 nucleotide sequences of the above region, including 13 Indian CSFV sequences, available either in the Genbank or published literature were also included in the study.
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