The IAEA and UK social enterprise MedAccess have launched a new partnership under the Rays of Hope: Cancer Care for All initiative. This collaboration will focus on advancing innovative financing ...

Probabilistic safety assessments (PSAs) are recognized as an important tool for assessing the level of safety for nuclear power plants. In particular, the Level 2 probabilistic safety assessment for ...

IAEA Director General Rafael Mariano Grossi delivered a statement to the IAEA Board of Governors on the situation in the Islamic Republic of Iran on 16 June 2025.

Despite the current military actions and heightened tensions, it is clear that the only sustainable path forward—for Iran, ...

Madame Under Secretary General evoked that yesterday, the Board of Governors of the IAEA adopted an important resolution on Iran’s safeguards obligations. In addition to this, the Board resolution ...

The ZODIAC Respiratory Disease Phenotype Observatory is an IAEA-led cooperative study using AI to analyze chest X-rays and CT scans from COVID-19 and other respiratory diseases.

A paper on fusion neutron sources by a team from the United States of America’s Lawrence Livermore National Laboratory and the University of Rochester has won the IAEA’s annual Nuclear Fusion prize.

Nuclear safety remains precarious at Ukraine’s Zaporizhzhya Nuclear Power Plant (ZNPP) and its six reactors cannot be restarted as long as the military conflict continues to jeopardize the situation ...

In a critical step toward addressing food insecurity in West Africa, the International Atomic Energy Agency (IAEA) and the Food and Agriculture Organization (FAO) of the United Nations have launched ...

Plastic is a fact of modern life, but while plastic waste is causing huge damage to our environment, it can also be a valuable resource. Radiation technology is able to streamline plastic recycling.

Artificial intelligence (AI) tools such as deep learning-based algorithms can be valuable as previous studies have shown a reduction in contouring time and variation. Furthermore, explainable AI (XAI) ...