This paper presents an overview of the significance of the use of molecular biomarkers as
diagnostic and prognostic tools for marine pollution monitoring. In order to assess the impact …

Cervical carcinoma is one of the most common and dreaded diseases of women, and in India,
it accounts for 16 per cent of total cervical cancer cases occurring globally. The situation is …

Several neurodegenerative disorders, such as Alzheimer's and Parkinson's disease, are
characterized by prominent loss of synapses and neurons associated with the presence of …

Extracellular α‐synuclein (α‐syn) assemblies can be up‐taken by neurons; however, their
interaction with the plasma membrane and proteins has not been studied specifically. Here we …

The field of object detection has made significant advances riding on the wave of region-based
ConvNets, but their training procedure still includes many heuristics and …

The success of deep learning in vision can be attributed to:(a) models with high capacity;(b)
increased computational power; and (c) availability of large-scale labeled data. Since 2012, …

The quality of an analytical method developed is always appraised in terms of suitability for
its intended purpose, recovery, requirement for standardization, sensitivity, analyte stability, …

With recent progress in graphics, it has become more tractable to train models on synthetic
images, potentially avoiding the need for expensive annotations. However, learning from …

Background Many studies on COVID-19 have reported diabetes to be associated with
severe disease and mortality, however, the data is conflicting. The objectives of this meta-analysis …

Multi-task learning in Convolutional Networks has displayed remarkable success in the field
of recognition. This success can be largely attributed to learning shared representations …