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Bioimage informatics is a subfield of bioinformatics and computational biology. [1] It focuses on the use of computational techniques to analyze bioimages, especially cellular and molecular images, at large scale and high throughput.
37.5 million image-text examples with 11.5 million unique images across 108 Wikipedia languages. 11,500,000 image, caption Pretraining, image captioning 2021 [7] Srinivasan e al, Google Research Visual Genome Images and their description 108,000 images, text Image captioning 2016 [8] R. Krishna et al. Berkeley 3-D Object Dataset
Deep learning applications have been used for regulatory genomics and cellular imaging. [33] Other applications include medical image classification, genomic sequence analysis, as well as protein structure classification and prediction. [34] Deep learning has been applied to regulatory genomics, variant calling and pathogenicity scores. [35]
Biological computers use biologically derived molecules — such as DNA and/or proteins — to perform digital or real computations. The development of biocomputers has been made possible by the expanding new science of nanobiotechnology.
Deeper level processing requires more attention being given to the stimulus and engages more cognitive systems to encode the information. An exception to deep processing is if the individual has been exposed to the stimulus frequently and it has become common in the individual’s life, such as the person’s name. [28]
From molecular and cellular information processing networks to ecologies, economies and brains, life computes. Despite ubiquitous agreement on this fact going back as far as von Neumann automata and McCulloch–Pitts neural nets , we so far lack principles to understand rigorously how computation is done in living, or active, matter".
Natural computing, [1] [2] also called natural computation, is a terminology introduced to encompass three classes of methods: 1) those that take inspiration from nature for the development of novel problem-solving techniques; 2) those that are based on the use of computers to synthesize natural phenomena; and 3) those that employ natural materials (e.g., molecules) to compute.
A ribosome is a biological machine that utilizes protein dynamics. At the first C.E.C. Workshop, in Brussels in November 1991, bioelectronics was defined as 'the use of biological materials and biological architectures for information processing systems and new devices'.