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Eanm launches alpha radioligand therapy award

Eanm has launched a new award to accelerate alpha radioligand therapy research in prostate cancer, with winners to be announced at the EANM’26 Congress.
Applications are now open for the 2026 EANM Young Scientist Network Award. The research award is supported by Advanced Accelerator Applications, a Novartis company, and focuses on advancing alpha radioligand therapy in prostate cancer.
Alpha radioligand therapy, also known as α-RLT, is a targeted treatment that delivers radiation directly to cancer cells using radioactive particles attached to specific molecules, limiting damage to surrounding tissue.
Winners will be recognised in three categories: Platinum (€40,000), Gold (€20,000) and Silver (€10,000).
Paola Anna Erba, EANM president, said: “Alpha radioligand therapy is rapidly emerging as a transformative frontier in precision oncology, and we strongly believe in the talent of researchers at the beginning of their careers in this field. This award was designed to nurture their growth by pairing research excellence with structured training, mentorship, and collaborative networking opportunities.”
Eanm invites applications from early career researchers including PhD candidates, postdoctoral fellows, junior faculty and clinicians in training who are within 10 years of their terminal degree and affiliated with an institution in an EANM member country.
Applicants must submit a project proposal aimed at delivering clinically meaningful advances in prostate cancer treatment using α-RLT. Priority areas include optimising clinical use, tailoring treatment to individual patients and identifying those most likely to benefit. The deadline for applications is 18 May 2026 at 23:59 CEST via ysn@eanm.org.
Winners will be announced at the EANM’26 Congress, held from 17 to 21 October at the Austria Center Vienna, Austria. Awardees will present their projects during a dedicated session and take part in an interactive workshop with the scientific review committee to further develop their proposals.
Full details on eligibility and how to apply are available from Eanm.
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AI can predict Alzheimer’s with almost 93% accuracy, researchers say

Alzheimer’s AI can predict the disease with nearly 93 per cent accuracy using more than 800 brain scans, researchers say.
The system identified anatomical changes in the brain linked to the onset of the most common form of dementia, a condition that gradually damages memory and thinking.
The findings build on years of research suggesting AI could help spot early Alzheimer’s risk, predict disease and identify patients whose condition has not yet been diagnosed.
Benjamin Nephew, an assistant research professor at the Worcester Polytechnic Institute in Massachusetts, said: “Early diagnosis of Alzheimer’s disease can be difficult because symptoms can be mistaken for normal ageing.
“We found that machine-learning technologies, however, can analyse large amounts of data from scans to identify subtle changes and accurately predict Alzheimer’s disease and related cognitive states.”
The study used MRI scans, a type of detailed brain imaging, from 344 people aged 69 to 84.
The dataset included 281 scans showing normal mental function, 332 with mild cognitive impairment, an early stage of memory and thinking decline, and 202 with Alzheimer’s.
The scans covered 95 of the brain’s nearly 200 distinct regions and used an AI algorithm to predict patients’ health.
Being able to use AI to help diagnose Alzheimer’s earlier could give patients and doctors crucial time to prepare and potentially slow the progression of the disease.
The analysis showed that one of the top predictive factors was brain volume loss, or shrinkage, in the hippocampus, which helps form memories, the amygdala, which processes fear, and the entorhinal cortex, which helps provide a sense of time.
This pattern held across age and sex, with both men and women aged 69 to 76 showing volume loss in the right part of the hippocampus, suggesting it may be an important area for early diagnosis, the researchers noted.
However, the research also found that the way brain regions shrink differs by sex.
In females, volume loss occurred in the brain’s left middle temporal cortex, which is involved in language and visual perception. In males, it was mainly seen in the right entorhinal cortex
The researchers believe this could be linked to changes in sex hormones, including the loss of oestrogen in women and testosterone in men.
These conclusions could help improve methods of diagnosis and treatment going forward, Nephew said.
More than 7.2m Americans are living with Alzheimer’s, according to the Alzheimer’s Association.
More research is being done to reveal other impacting factors.
Nephew said: “The critical challenge in this research is to build a generalisable machine-learning model that captures the difference between healthy brains and brains from people with mild cognitive impairment or Alzheimer’s disease.”
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