This standards-focused paper evaluates ICNIRP and IEEE (C95.1-2019) exposure limits for brief, high-intensity pulsed RF-EMF between 6 and 300 GHz, particularly when exposures vary within the 6-minute averaging window. Using numerical and analytical modeling with a one-dimensional thermal tissue model, it reports differences in protection against transient skin heating, with IEEE described as more conservative than ICNIRP. The authors propose an adjustment to pulse fluence limits to improve consistency of protection and note that nonthermal and thermoacoustic effects were not analyzed.

This systematic review synthesizes animal studies on low frequency magnetic field exposure in relation to neurodegenerative diseases. It reports no support for a causal induction of Alzheimer’s-type neuropathology in naive animals, while noting that evidence is too limited to draw strong conclusions for motor neuron disease, multiple sclerosis, and Parkinson’s disease regarding induced neuropathology. In models with pre-existing neurodegenerative disease, the review describes possible therapeutic effects on behavioral and neuroanatomical outcomes for dementia-related conditions, and no apparent effect on motor neuron disease progression.

This paper presents an application and numerical process modelling of a 13.56 MHz RFID module, including how nearby tags/cards and their positioning affect antenna characteristics. It also considers RFID operation near human tissues and discusses potential health impacts from prolonged EMF exposure at 13.56 MHz. The authors emphasize the importance of evaluating long-term exposure risks and call for additional scientific attention.

This exposure assessment measured personal RF electric field strength in multiple indoor and outdoor micro-environments in Malaysia using an ExpoM-RF 4 meter and modeled exposure with machine learning (FCNN, XG Boost) and linear regression. Reported exposures were usually below the stated public limit (61.4 V/m), but maximum values in dense urban areas with many base stations were reported to approach 56.7365 V/m. The authors frame near-threshold maxima in high-density areas as a potential health risk and recommend caution and monitoring.

This study tested magnetic fields from tablets, laptops, smartphones, and household/leisure magnets against 13 cardiac implantable electronic device (CIED) models to assess magnet mode activation. It reports that these consumer devices can trigger magnet mode when in close proximity, with median activation distances of 5–6.5 mm for phones/tablets/laptops and mainly contact-level activation for household/leisure magnets. None of the tested devices activated magnet mode at distances of 20 mm or more, and the authors emphasize patient awareness of proximity-related risk.

This study reports on 26 adults self-diagnosed with electromagnetic hypersensitivity (EHS) who provided skin biopsies to generate primary fibroblast lines. The authors describe two EHS subsets based on questionnaire and DNA damage-related measures, and report delayed ATM nucleoshuttling after X-ray exposure in all samples, interpreted as impaired DNA repair signaling. They propose a molecular model linking EHS to ATM pathway dysfunction and suggest this could relate to increased cancer risk or accelerated aging.

This narrative review discusses how environmental factors may affect male reproductive health through epigenetic mechanisms, including DNA methylation, histone modifications, chromatin remodeling, and non-coding RNA regulation. It reports that electromagnetic radiation, particularly from mobile phones and wireless devices, is linked in the reviewed literature to reduced sperm count and motility, increased oxidative stress, and chromatin damage. The authors conclude there is a substantive connection between EMF exposure and adverse male reproductive outcomes and suggest practical risk-reduction guidance.

This biophysics paper presents a nonequilibrium (active matter) statistical mechanics model for electromechanical biological membranes. It argues that energy-driven activity in membranes could enable detection of electric fields far below equilibrium thermal-noise limits, and reports that the model can reproduce experimental observations by tuning activity. The abstract frames this as a potential mechanistic link between weak electromagnetic fields and biological responses, while also noting future modeling directions and possible implications for exposure safety discussions.

This occupational epidemiology study used machine learning to evaluate whether workplace exposures (including magnetic and electric fields, vibration, noise, and heat stress) predict male reproductive indicators in 80 workers. The models and explainable AI outputs highlighted magnetic and electric field exposures and age as key predictors linked to lower free testosterone. The authors also report a 10-year forecast identifying electric field exposure as the most important long-term risk factor.

This study reports that terahertz radiation decreased a neuronal membrane area ratio (cytosol relative to protruding membrane area) beginning on the first day of exposure and persisting during the exposure period. It further reports altered neuronal firing/discharge patterns and increased peak postsynaptic currents associated with the morphology change, supported by a kinetic model. The authors frame the findings as indicating significant effects of terahertz-frequency EMF on neural health and function and suggest potential neuromodulation applications.

This paper presents a mixed-method study protocol examining electromagnetic hypersensitivity (EHS) in relation to mobile phone radiofrequency radiation exposure among undergraduate students. The quantitative component aims to identify predictors of EHS using a biopsychosocial model, while the qualitative component explores individual experiences through in-depth interviews. The abstract provides study design details and sample size but does not report study results.

This animal study reports that dual-frequency RF EMR exposure (0.8/2.65 GHz, 4 W/kg) induced anxiety-like behavior in mice. It also reports reduced CB1R and endocannabinoid levels in the mPFC and altered endocannabinoid system markers in the BLA. CB1R overexpression or knockdown in the mPFC reportedly decreased or increased anxiety-like behavior, respectively, suggesting a mechanistic link in this model.

This in vitro study exposed glioblastoma (CT2A), neuroblastoma (N2A), and non-tumor astrocyte (C8D1A) cell models to a 100 μT magnetic field across 20–100 Hz for 24–72 hours. The abstract reports decreased viability and proliferation in the tumor cell models within a frequency window centered at 50 Hz, while astrocyte viability increased at 20 and 40 Hz. The authors conclude that frequency is a key determinant of cell-type-specific responses consistent with a “biological window” model.

This analytical study evaluated machine learning models (SVM and Random Forest) to predict health symptoms in adults living near mobile phone base stations. The SVM model reportedly achieved high predictive performance for headache, sleep disturbance, dizziness, vertigo, and fatigue, and outperformed Random Forest and prior models. The abstract concludes that proximity to base stations is connected with increased prevalence of several symptoms and emphasizes distance, age, and duration of residence as key predictors.

This exposure assessment measured 20 kHz magnetic field leakage from induction cooking heaters across four models and compared results with ICNIRP general public limits. The maximum reported magnetic flux density was 16 µT at a specified measurement point using two S-type pans. Field leakage depended on pan size and configuration, and finite element modeling was reported to align closely with measurements.