Publications by authors named "P S Mallick"

Purpose: To report visual and refractive outcomes and intraoperative and postoperative complications after pars plana vitrectomy (PPV) with retropupillary implantation of an iris clip intraocular lens (IOL).

Methods: This is a retrospective case series of patients who underwent secondary retropupillary intraocular lens insertion combined with pars plana vitrectomy to treat aphakia secondary to a dislocated nucleus lens (group A); or IOL dislocation (group B). Patient demographics, preoperative visual and refractive outcomes, intraoperative factors, postoperative visual and refractive outcomes, and complications within the follow-up period ranging from 6 months up to 3 years postoperative, were recorded.

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This research presents an integrated framework designed to automate the classification of pulmonary chest x-ray images. Leveraging convolutional neural networks (CNNs) with a focus on transformer architectures, the aim is to improve both the accuracy and efficiency of pulmonary chest x-ray image analysis. A central aspect of this approach involves utilizing pre-trained networks such as VGG16, ResNet50, and MobileNetV2 to create a feature ensemble.

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An array of microhaplotypes - small segments of ≤200 nucleotides with heterozygous multiple-SNP exhibiting multiple allelic combinations - were identified in the Plasmodium vivax genome by Siegel et al. Interestingly, the microhaplotype has significant potential to distinguish relapse/reinfection and identify genetic relatedness across vivax-endemic areas. It is essential to validate the universal applicability of microhaplotypes.

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Background: Nasopharyngeal carcinoma (NPC) is a distinct cancer of the head and neck that is highly prevalent in Southeast Asia and North Africa. Though an extensive analysis of environmental and genetic contributors has been performed, very little is known about the proteome of this disease. A proteomic analysis of formalin-fixed paraffin-embedded (FFPE) tissues can provide valuable information on protein expression and molecular patterns for both increasing our understanding of the disease and for biomarker discovery.

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