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Text mining for biological and health effects of electromagnetic fields

          

Meta-analysis of published literature found unexpected beneficial and adverse health effects of electromagnetic fields. The text and data mining aspects of this work may be of interest to researchers in text mining and bioinformatics.

From:
A recent publication summarizes the broad scope of combined health/biological effects of electromagnetic fields and other agents in the published literature [1]. The information technology component of the study may be of interest to researchers in text mining and bioinformatics, and the health/biological impacts component may be of interest to researchers and clinicians concerned about both the beneficial and adverse effects of electromagnetic fields in concert with other agents on biological systems.

The findings in the article [1] include:

Potential beneficial effects

  • improved treatment of chronic diseases like cancer by enhancing ionizing radiation or chemotherapy, especially enhancing drug delivery through electroporation/electrochemotherapy
  • accelerated healing of wounds and injuries in concert with other agents.

Potential Adverse effects

  • enhanced carcinogenesis
  • enhanced cellular or genetic mutations
  • enhanced teratogenicity.

In real life, biological systems are exposed to multiple therapeutic and environmental agents simultaneously, e.g., a variety of EMF, drugs, pesticides, food additives, and air pollution. The number of potential therapeutic and environmental agent combinations is large, and each combination could potentially have beneficial or adverse effects; much work remains to be done before definitive statements about EMF safety can be made.

Here is a pre-print full text version.

Dr. Ronald N. Kostoff

References

[1]. Kostoff RN, Lau CGY. Combined biological and health effects of electromagnetic fields and other agents in the published literature. Technological Forecasting & Social Change (2013).
doi: 10.1016/j.techfore.2012.12.006.


KDnuggets Home » News :: 2013 :: Jan :: Publications :: Text mining for biological and health effects of electromagnetic fields ( 13:n02 )