This paper presents a methodological discussion about how to interpret exposure-response patterns and synthesize evidence in low-intensity RF-EMF research, focusing on animal cancer bioassays. It references an exchange around a systematic review on RF-EMF and cancer in experimental animals and critiques/considers approaches to statistical inference and evidence synthesis. The authors emphasize that methodological choices can materially influence carcinogenic hazard identification and argue for rigorous, evidence-based analysis in risk assessment.

This paper reports results from a large-scale, multi-phase measurement campaign in mainland France assessing changes in RF exposure associated with 5G deployment from 2020 to 2024. Using more than 24,000 on-ground measurements in direct view of 5G antennas, it finds small average increases in broadband exposure and increased contributions from 5G-related bands over time. The 3.5 GHz band contribution increased but remained a secondary contributor compared with legacy 800/900 MHz bands, and exposure during active downloading was higher than in idle mode.

This peer-reviewed article proposes a Planetary Health Impact Assessment (PHIA) framework to evaluate not only direct health effects of radiofrequency electromagnetic fields (RF-EMF) but also potential indirect impacts on human health mediated through ecosystem disruption. Using mobile telecommunication RF-EMF as a case study, the authors and 12 experts built a knowledge graph of hypothesized pathways and compared it with an AI/NLP tool that extracts literature into knowledge graphs. The paper reports that AI can process large volumes quickly but currently needs substantial expert validation due to limitations in precision and context sensitivity, and it highlights potential gaps in the literature on indirect/ecological pathways.

This exposure-assessment study proposes and validates a method to measure instantaneous RF exposure under typical base station load by generating defined data rates (low/medium/high) using iPerf and measuring channel power across services. Validation at four base stations suggests the approach is reliable across different times of day and loads, with reproducible results when averaging over 30 sweeps. Comparisons indicate iPerf-provoked constant data rates generally match exposure during real application usage, with few deviations beyond stated uncertainty.

This conference paper proposes a method to assess combined EMF exposure from multiple simultaneous high-frequency sources using a normalized exposure ratio based on ICNIRP 2020 guidelines. It emphasizes a current gap in standardized absorbed power density (Sab) measurement above 10 GHz and proposes incident power density (Sinc) as a temporary surrogate. The work is framed as supporting compliance verification and safety measure design, with a stated need for future experimental validation and standardization.

This exposure/compliance assessment study collected 5- and 30-minute transmitted power data over one month from more than 400 5G FR2 beamforming base stations in urban Japan to evaluate the IEC 62232:2025 “actual maximum approach.” All measured transmitted powers were below configured maxima, with 30-minute averaged normalized maxima reported as < -8 dB, while 5-minute averaged maxima reached about -3 dB under low UE counts. The authors report that the actual maximum approach can avoid overestimation for longer averaging times, but may underestimate exposure for stations with three or fewer UEs if power is not monitored and controlled.

This review examines how variability in computational dosimetry models affects assessment of human RF exposure from MHz to terahertz frequencies, focusing on SAR, absorbed power density, and temperature rise. It reports that anatomical scaling and model choices can drive meaningful differences in predicted SAR (including higher values in children/smaller models), while temperature-rise predictions are especially sensitive to thermophysiological parameters and vascular modeling. The authors indicate that computed variability remains within ICNIRP/IEEE safety margins but argue that uncertainties warrant ongoing research and refinement as new technologies (e.g., 6G) emerge.

This exposure assessment used personal exposimeters to measure RF-EMF levels in the 2.4 GHz and 5.85 GHz Wi-Fi bands in airport terminals and during four international flights, including flights with and without onboard Wi-Fi service. Reported mean exposures varied by route but were described as substantially below an international reference level (10 W/m²). The authors conclude exposure is low while also recommending ongoing monitoring and precaution due to potential health concerns mentioned as emerging evidence.

This exposure assessment study compared RF-EMF measurements averaged over 1, 6, and 30 minutes using contiguous 1-minute data collected over 30 minutes at four indoor/outdoor sites across 15 frequency bands. Relative deviations between shorter averaging times and 30-minute averages were largely within ±3 dB. However, statistical comparisons of overall exposure variability between 1- or 6-minute and 30-minute averaging produced inconsistent results, with broadcast and most mobile services <2 GHz appearing broadly similar between 1- and 6-minute averaging.

This exposure-assessment study proposes a Voronoi-diagram approach to visualize RF-EMF exposure across a city using personal exposimeter measurements of RMS electric field at seed points. Most mapped areas corresponded to about 1.9 V/m, with a maximum reported value of 11.4 V/m, all below the cited ICNIRP guideline level. The authors conclude the method is useful for communicating spatial variability, while also noting broader literature discussing potential health risks from EMF exposure.

This engineering/monitoring paper describes enhancements to the Serbian EMF RATEL system, which has continuously monitored RF-EMF since 2017, by adding drive test functionality to improve spatial coverage. The authors report preliminary quantitative drive test measurements and validation of the upgraded approach. The work emphasizes that characterizing spatial and temporal RF-EMF patterns can support exposure assessment relevant to public health risk evaluation.

This exposure assessment study analyzed smartphone-logged 4G LTE RSSI and GPS data from adults in France to identify determinants of downlink signal strength. RSSI varied with geospatial factors (distance to antennas, antenna density, urbanicity) and time of day, and was also influenced by technical smartphone parameters. The study reports an estimated electric field strength derived from RSSI, but notes high uncertainty in this conversion.

This editorial introduces a special issue supporting the WHO assessment of health effects from RF-EMF exposure, based on nine protocols and twelve systematic reviews developed over four years by more than 80 experts. It summarizes that human evidence for major cancers was moderate-certainty for no or only small effects, with lower certainty for some cancer sites, while animal evidence reported higher-certainty effects for several cancer types and adverse effects on male fertility. For cognition, symptoms, and oxidative stress, certainty was generally lower and findings more variable, and the editors note ongoing methodological challenges and the possibility of unidentified mechanisms.

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.