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Dr. Mariateresa Mancuso is participating in the Radiation Research Society (RRS)2025, 71th annual meeting in Porto Rico. ![]()
During the meeting she presented the work of ENEA - Agenzia nazionale group on 5G exposure in FR2 band for carcinogenesis on different mice models for Basal Cell Carcinoma and Squamous Cell Carcinoma. ![]()
This work is part of the research outputs for SEAWave WP6: "Health Risk Studies: Animal Study on Skin Carcinogenicity and Other Endpoints of FR2 Exposure".
Check out a new publication from SeaWave Project partner, IT'IS Foundation, on a very hot and demanding topic!![]()
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“Traceable Assessment of the Absorbed Power Density of Body Mounted Devices at Frequencies above 10 GHz” in the Special Issue of Bioelectromagnetics on Assessment of Exposure of Humans to 5G and 6G Technologies.![]()
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To meet the growing demand to demonstrate compliance with the absorbed power density (#APD) limits at frequencies above 10 GHz, a comprehensive measurement methodology was developed, based on a specialized dosimetric probe and a composite phantom, along with a calibration method and methodology-agnostic validation process. The system has a wide dynamic range and sufficient spatial resolution with a low measurement uncertainty of 1.6 dB for peak APD and <1.5 dB for peak spatially averaged APD, allowing its use for type approval of mobile devices. Read more here: lnkd.in/eKv4Mj83![]()
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#bioelectromagnetics #dosimetry #ExposureAssessment #AbsorbedPowerDensity #5GNRFR2 #DosimetricProbe #phantom #FieldReconstruction #MillimeterWave #mmWave
seawave-project.eu
On 24th July 2025, Greek Atomic Energy Commission (EEAE) in cooperation with IU Internationale Hochschule organized an online workshop in the framework of the Work Package 10 “Risk communication” ...
A new publication comes from the team of the Fakultet tehničkih nauka - Novi Sad! ![]()
The SeaWave Project partners utilise advanced data analysis techniques, underpinned by machine learning algorithms, to decompose the daily variations in EMF exposure into distinct patterns. This approach provides a more nuanced understanding of exposure fluctuations over time.![]()
The study focuses on characterising fluctuations in field strength during workdays and holidays, thereby contributing to a deeper understanding of time-distributed exposure. The continuous monitoring data, collected via the Serbian EMF RATEL network's sensors installed in Novi Sad, were processed and analysed using the Log-Normal Mixture Model (LNMM), a model-based clustering algorithm that relies on mixture distributions.![]()
The analyses demonstrate the capacity of the LNMM to differentiate between night and day exposure values, thereby identifying periods during which values persist for a greater duration throughout the day. This finding indicates that model-based clustering may offer a valuable approach for elucidating the temporal patterns of local EMF exposure.![]()
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"Cluster Analysis of RF-EMF Exposure to Detect Time Patterns in Urban Environment: A Model-Based Approach"![]()
N. Pasquino, N. Solmonte, N. Djuric, D. Kljajic and S. Djuric, IEEE Access, vol. 13, pp. 118724-118732, 2025, doi: 10.1109/ACCESS.2025![]()
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ieeexplore.ieee.org
The increase in human exposure to electromagnetic fields (EMFs), driven by advancements in telecommunication systems like the 5G mobile system, highlights the n