Carl Blackman discusses ELF and RF health effects

2016 · Unclear · Insufficient evidence

← Research stream

UnclearInsufficient evidencePaper 1448

Carl Blackman discusses ELF and RF health effects Carl F. Blackman.Comment on "Milham & Stetzer (2016) Tumor-specific frequencies and ocular melanoma." Electromag Biol Med http://dx.doi.org/10.1080/15368378.2016.1234390 http://www.tandfonline.com/doi/full/10.…

Study snapshot

Publicationmanual · 2016

Study typeother

Reported directionUnclear

Evidence ratingInsufficient

Abstract

Carl Blackman discusses ELF and RF health effects Carl F. Blackman.Comment on "Milham & Stetzer (2016) Tumor-specific frequencies and ocular melanoma." Electromag Biol Med dx.doi.org tandfonline.com Bio Dr. Blackman is a biophysicist who worked as a research scientist in the US Environmental Protection Agency (EPA) from 1970 until his recent retirement. He researched electric and magnetic field interactions with biological systems until the U.S. Congress cut off EPA funding for EMF research in the 1990's. His work resulted in several discoveries including multiple effect "windows" of intensity and frequency, and the demonstration that the earth's magnetic field was involved in biological responses to EMF. He collaborated on the development of math models used to predict EMF conditions that cause biological responses. He and his colleagues discovered that melatonin can modulate gap junction intercellular communication and partially oppose the action of tumor-promoting agents to close this communication. They also demonstrated that the biological action of melatonin can be altered by magnetic field exposure. He is one of six founders of the Bioelectromagnetics Society (BEMS) in 1978, served as president in 1990-1991, and as a member of the editorial board of the Society's journal for 14 years. He served on the WHO committee to evaluate the health implications of radiofrequency radiation exposure (Environmental Health Criteria #137, 1993), and on an IARC committee that evaluated the carcinogenic potential of low frequency electric and magnetic fields in 2001 (Volume 80, 2002). In 2014 he received the BEMS d'Arsonval Award to recognize extraordinary accomplishment in bioelectromagnetics.

Machine Enhanced Logic

AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typeother

Effect directionunclear

PopulationNot supplied

Sample sizeNot supplied

ExposureELF and RF

Evidence strengthInsufficientConfidence: 66% · Peer reviewed: unknown

Main findings

Outcomes measured

health effects

Limitations

Appears to be a comment/biographical note rather than an original empirical study; no specific methods, exposure metrics, or results are provided in the abstract.

View raw extracted JSON

{
  "study_type": "other",
  "exposure": {
    "band": "ELF and RF",
    "source": null,
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "health effects"
  ],
  "main_findings": null,
  "effect_direction": "unclear",
  "limitations": [
    "Appears to be a comment/biographical note rather than an original empirical study; no specific methods, exposure metrics, or results are provided in the abstract."
  ],
  "evidence_strength": "insufficient",
  "confidence": 0.66,
  "peer_reviewed_likely": "unknown",
  "keywords": [
    "ELF",
    "RF",
    "health effects",
    "commentary",
    "EPA",
    "Bioelectromagnetics Society",
    "WHO",
    "IARC",
    "melatonin",
    "gap junction intercellular communication",
    "magnetic field exposure"
  ],
  "suggested_hubs": [
    {
      "slug": "who-icnirp",
      "weight": 0.55,
      "reason": "Abstract notes service on a WHO committee evaluating radiofrequency radiation exposure and an IARC committee evaluating carcinogenic potential of low-frequency fields."
    }
  ]
}

AI can be wrong. Always verify against the paper.

AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.1080/15368378.2016.1234390
PubMed: Not supplied

Read the original paper →

Related papers

← Back to the Research Library