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Re:Cognition and Cera expand Alzheimer’s clinical trials access

Re:Cognition Health and Cera have partnered to expand access to Alzheimer’s clinical trials across the UK.
The collaboration links Re:Cognition Health’s specialist brain health clinics and trial expertise with Cera’s 2.5 million monthly home care visits, creating new pathways to identify and support people earlier in their health journey.
By connecting home care with specialist research centres, the partners aim to offer more people the chance to join studies, giving access to advanced assessment and emerging treatments while contributing to future therapies.
Dr Ben Maruthappu MBE, chief executive and founder of Cera, said: “Many older adults are currently ‘invisible’ to the clinical trials research system because they cannot access traditional clinic-centric recruitment.
“By enabling responsible, consented identification and screening within the home, we can bridge the gap between the community and the clinic.
“We are offering the older generation a seat at the table of global drug discovery, ensuring that the path to a cure starts where they are most comfortable—in their own daily lives.”
Re:Cognition Health has contributed to the development of lecanemab (Leqembi) and donanemab (Kisunla) through international trials, introducing disease-modifying approaches that are reshaping early intervention in Alzheimer’s care.
Older adults remain under-represented in research. NIHR data indicate only about 15 per cent of trial participants are 75 or older, despite high multimorbidity in this group. Dementia trial recruitment in the UK also lags other disease areas.
Through this collaboration, individuals who have not yet accessed specialist memory services can be referred earlier for assessment and potential study participation, with access to new-generation therapies where appropriate.
Cera’s technology-enabled home healthcare model, with daily patient contact and consented data capture, allows timely referral of potential participants from familiar settings to Re:Cognition Health clinics.
Together, the organisations will support earlier and more equitable participation by leveraging Cera’s scale and real-time insights. Carers and nurses deliver visits roughly every second on average, enabling early identification of those who may benefit from memory assessment.
Dr Emer MacSweeney, chief executive and founder of Re:Cognition Health, said: “With one in three people expected to develop dementia in their lifetime, it is essential that we create more inclusive and accessible routes into research.
“This collaboration enables us to extend our reach beyond traditional clinic settings and ensure that people who may benefit from early assessment and research participation are supported to do so.
“Clinical trials offer individuals access to the most advanced diagnostics and emerging treatments, alongside expert medical oversight.
“By identifying people earlier and guiding them through every stage of their journey, we can help improve participants’ experience and potential outcomes, while accelerating the development of the next generation of Alzheimer’s therapies.”
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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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