AIMC Topic: Translational Research, Biomedical

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Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
With the maturation of metabolomics science and proliferation of biobanks, clinical metabolic profiling is an increasingly opportunistic frontier for advancing translational clinical research. Automated Machine Learning (AutoML) approaches provide ex...

Ontological Realism for the Research Domain Criteria for Mental Disorders.

Studies in health technology and informatics
At the heart of the Research Domain Criteria for Mental Disorders is a matrix in which functional aspects of behavior are related to genotypic and (endo-)phenotypic research findings, and the various techniques through which they can been observed. T...

Natural Language Processing in Oncology: A Review.

JAMA oncology
IMPORTANCE: Natural language processing (NLP) has the potential to accelerate translation of cancer treatments from the laboratory to the clinic and will be a powerful tool in the era of personalized medicine. This technology can harvest important cl...

Practice innovation: the need for nimble data platforms to implement precision oncology care.

Discovery medicine
Given the drive toward personalized, value-based, and coordinated cancer care delivery, modern knowledge-based practice is being shaped within the context of an increasingly technology-driven healthcare landscape. The ultimate promise of 'precision m...