Translation in Pharma Language Translation by Mark Wade

Machine Learning for Differential Diagnosis

The driving force behind ML enabling the processing of structured and unstructured data is deep neural learning, an algorithm with neuron nodes connected together like a web mirroring the human brain. Deep learning systems help to inform differential diagnosis. By using content-based image retrieval visible symptoms can be compared to a large set of data and increase diagnostic accuracy. It also addresses the capacity issues of a qualified workforce.

Machine Learning for Linguistic Relationships

ML can process structured and unstructured big data sets and extrapolate a predictable outcome. ML can process medical dictionaries (MedDRA, etc.) to augment its understanding of the relationship between the terms regardless of whether they are different contextually, semantically, or linguistically.

AI for Disease Response

AI can be applied in situations with a direct impact on the public health. AI technology will enable us to make predictions and anticipate the spread of contagious diseases, allowing for faster reactions and mobilization of the necessary support.

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