Network Medicine Quotes
Quotes tagged as "network-medicine"
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“An important attribute of metabolites is their close relationship to both the biological states of interest (i.e. disease status) and relevant genomic, transcriptomic, and proteomic variants causally related to the disease state. As such, metabo-profiles can be viewed as an intermediate measure that links pre-disposing genes and environmental exposures to a resulting disease state. Causal metabolites also typically have a stronger relationship (i.e. larger effect size) to the underlying genetics and the disease phenotype. Thus, the integration of metabolomic data into systems biology approaches may provide a missing link between genes and disease states.”
― Network Medicine: Complex Systems in Human Disease and Therapeutics
― Network Medicine: Complex Systems in Human Disease and Therapeutics
“Since the 19th century, medicine has focused on specific disease states by linking collections of signs and symptoms to single organs.... Systems biology and its offspring, sometimes called Network Medicine, takes a more wholistic approach, looking at all the diverse genetic, metabolic, and environmental factors that contribute to clinical disease. Equally important, it looks at the preclinical manifestations of pathology.
The current focus of medicine is much like the focus that an auto mechanic takes to repair a car. The diagnostic process isolates a broken part and repairs or replaces it.... Although this strategy has saved countless lives and reduced pain and suffering, it nevertheless treats the disease and not the patient, with all their unique habits, lifestyle mistakes, environmental exposures, psychosocial interactions, and genetic predispositions.”
― Reinventing Clinical Decision Support: Data Analytics, Artificial Intelligence, and Diagnostic Reasoning
The current focus of medicine is much like the focus that an auto mechanic takes to repair a car. The diagnostic process isolates a broken part and repairs or replaces it.... Although this strategy has saved countless lives and reduced pain and suffering, it nevertheless treats the disease and not the patient, with all their unique habits, lifestyle mistakes, environmental exposures, psychosocial interactions, and genetic predispositions.”
― Reinventing Clinical Decision Support: Data Analytics, Artificial Intelligence, and Diagnostic Reasoning
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