This numerical dosimetry study modeled localized RF exposure (3–30 GHz) in multi-layer human skin constructs including skin, fat, and muscle, with an added synthetic blood vessel model. Vascular modeling had negligible impact on peak spatial-averaged absorbed power density and a modest impact on peak temperature rise (about 8% at 3 GHz, <3% above 6 GHz). The authors conclude that including vasculature can refine predictions of localized thermal distributions for dosimetry accuracy.

This paper presents a traceable experimental dosimetry method to measure absorbed power density (APD) from body-mounted wireless devices at frequencies above 10 GHz. It combines a miniaturized broadband probe, a composite skin-equivalent phantom, and reconstruction/calibration procedures, with validation using reference antennas. The approach is reported as validated for 24–30 GHz and extendable to 10–45 GHz, supporting regulatory-type testing aligned with international safety standards.

This paper presents a quantitative framework for selecting extremely low-frequency electromagnetic field (ELF-EMF) measurement instruments. It uses a weighted scoring matrix across six criteria and a logic-based flowchart to guide instrument choice based on operational needs. The framework is demonstrated in an occupational case study and is positioned as supporting transparent, adaptable device selection for occupational safety and public health.

This in vitro study exposed human umbilical cord blood lymphocytes to a sinusoidal sweeping-frequency ELF magnetic field (3–26 Hz) for 48 hours at amplitudes from 6 to 24 μT. It reports no statistically significant effects on DNA damage/repair foci or apoptosis measures overall. A non-significant trend at 8 μT showed lower γH2AX foci (p = .064) and data suggesting fewer viable cells at the same intensity, which the authors discuss as potentially protective against DNA double-strand breaks.

This viewpoint reports results from a pilot questionnaire survey of 142 self-declared EHS/IEI-EMF individuals and argues that current evidence and tools do not allow a definitive medical diagnosis of sensitivity to low-level wireless radiation. It notes that many reported diagnoses appear anecdotal and that tests used lack scientific proof for detecting such sensitivity. The article also considers individual sensitivity plausible and calls for controlled provocation and biochemical studies to develop diagnostic biomarkers.

This exposure-assessment study compares RF-EMF exposure maps produced using a broadband meter versus a personal exposimeter and aims to correct personal exposimeter readings to match broadband-based maps. The authors report that LOS/NLOS-specific correction factors reduce discrepancies, particularly improving LOS measurements affected by body shielding. A genetic algorithm is used to optimize correction factors and support scalable urban exposure mapping, with the authors noting that additional validation in other environments is needed.

This paper presents a machine-learning method to estimate ground-level electromagnetic radiation (electric field strength) in the near field of 5G base stations, using multiple technical and environmental input parameters. The authors report experimental performance with a mean absolute percentage error of about 5.89% and suggest the approach can reduce costs compared with on-site measurements. The work is positioned as supporting exposure management and base-station placement, while noting the need for careful EMF management due to potential health-risk links.

This paper applies a model-based clustering approach (Log-Normal Mixture Model) to continuous RF-EMF monitoring data from the Serbian EMF RATEL network in Novi Sad to characterize temporal exposure patterns. The analysis reports separation of night versus day exposure values and identification of daytime periods where exposure persists longer. The work is positioned as supporting improved understanding of when and where elevated exposures occur in urban environments.

This 2025 review examines claims of biological effects from weak, nonthermal RF magnetic fields and evaluates whether such effects could be mediated by the radical pair mechanism (RPM). It reports that aligning RPM theory with low-level experimental observations remains difficult and that many experimental findings are limited by reproducibility, statistical robustness, and dosimetry issues. The authors conclude a tangible but incompletely understood link may exist and emphasize the need for more rigorous, standardized, interdisciplinary work.

This paper describes measurements and simulations to support terahertz (THz) sensing of European honey bees for environmental monitoring. It reports dielectric characterization of bee body parts across 1–500 GHz, scattering-based validation of 3D-printed bee mockups, and THz imaging demonstrating detailed anatomical visualization. The work includes dosimetric simulations at 300 GHz to evaluate feasibility of non-invasive, continuous monitoring and notes potential relevance to assessing high-frequency EMF impacts on insect health and habitat safety.

This review examined experimental literature on whether RF-EMF exposures within ICNIRP (2020) limits affect IARC key characteristics of human carcinogens. It identified 159 articles and found that 38% of in vitro/in vivo measurements reported statistically significant effects, but higher study quality was associated with fewer reported effects and there was no consistent exposure-response pattern. The authors state that study diversity and generally poor quality prevent high-confidence conclusions for most key characteristics, while recommending replication of the few higher-quality positive findings under stringent standards.