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Agetech World innovation & investment round-up

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Regenerative innovator’s cash boost, are biological clocks out of time?, Y chromosome concerns, £60bn of graft by UK pensioners

Indian regenerative medicine company Pandorum Technologies, has raised US$18m in a Series B funding round to support its clinical developments and global expansion.

The company, which operates the United States as well as its domestic market, was founded by Tuhin Bhowmick and Arun Chandru and focuses on corneal dystrophies, lung-related disorders, and liver diseases.

Bhowmick, Co-founder and Chief Executive Officer of Pandorum, said: “Just like the Ship of Theseus, the human body is constantly being rebuilt. Pandorum focuses on restoring biological memory, redefining regenerative medicine at its core.

“Our approach treats tissue health, disease, and degeneration as a navigational challenge within an information-constrained biological landscape,” he added.

“This funding would enable us to translate breakthrough science into programmable, disease-modifying therapies, beginning with single-tissue applications and scaling to multi-tissue repair, aligned with Pandorum’s vision – to heal fast and age slow.”

The funding round was led by Protons Corporate, with participation from Galentic Pharma, investor Ashish Kacholia, Noblevast Advisory and Avinya Fund, the Burman Family, and others.

Immortal Dragons, a Singapore-based longevity fund launched late last year, has mapped-out its plans to help tackle age-related organ failure.

Company founder Boyang Wang says it is focused on 3D biofabrication; a technology which utilizes ‘bio-inks’ – living cells integrated with biocompatible materials – to create functional tissue.

Immortal Dragons’ launched its US$40m longevity fund last Autumn and it currently supports over 15 portfolio companies.

Y worry

Whilst the loss of the Y chromosome in men had been thought to have no lasting impact, recent research is painting a different picture.

The Y chromosome bears few genes, other than for male determination, and consequently it was reasoned that its loss would not affect health.

However, new evidence contends that when people with Y chromosomes lose it (mLOY), it can lead to serious diseases – including cardiovascular,  neurodegenerative and cancer – contributing to a shorter lifespan.

New techniques to detect Y chromosomes show frequent loss of it in tissues of older men; with 40% of 60-year-old men showing mLOY, and 57% of 90-year-olds.

New research, entitled the ‘Mosaic loss of the Y chromosome and men’s health’ concludes that ‘mLOY leads to short life expectancy, cancers, and several other disorders in elderly men, infertility in reproductive-aged men, and developmental defects in children’.

This reflects evidence from previous studies, including a large-scale German one, which found men over 60 with high frequencies of mLOY had an increased risk of heart attacks.

Clocking-off

A commentary in the Lancet has questioned the over-reliance on the use of biological clocks, as determinants of longevity.

Whilst acknowledging the progress that has been made with epigenetic testing, in particular, it cautions that ‘key mechanistic and methodological gaps must be addressed to ensure these biomarkers mature into clinically meaningful instruments’.

Released earlier this month the paper entitledEpigenetic clocks: advancing biological age measures towards meaningful clinical use’ reports on their increasing prevalence.

The paper highlights a recent npj Aging commentary, entitled “Do We Actually Need Aging Clocks?”, which argued that the defining principles of biological age remain conceptually unresolved.

It said: “Current clocks capture broad trends but often diverge in their estimates, reflecting differences in population demographics, environmental exposures, lifestyles, disease stages, and tissue-specific methylation patterns.

“Sex is another important source of biological variation, with several studies showing that male and female individuals exhibit distinct epigenetic ageing trajectories, yet these differences are not consistently reported or modelled.”

The Lancet concluded: “ Several ongoing clinical trials…have already begun incorporating ageing clocks as primary or secondary endpoints, reflecting their rapid uptake even without clear evidence that they can reliably track intervention driven biological change.

“Key mechanistic and methodological gaps must be addressed to ensure these biomarkers mature into clinically meaningful instruments.”

Europe ages by 2.1 years

Pension-aged workers in the UK contribute more than £60bn to the UK economy each year, new analysis from the Centre for Ageing Better reveals.

The findings reflect the growing number of people in the 65-plus age group working past state pension age.  The employment rate for this group has more than doubled since 2000 and currently sits at 13.2% – a record 1.7m people.

The median age of the EU’s population reached 44.9 years at the start of 2025 -an increase of 2.1 years in the last decade.

All EU countries recorded increases over the decade except Germany and Malta, where the median age fell by 0.4 years in each case.

Slovakia and Cyprus saw the largest rise, with median age up by 4.0 years since 2015.

Italy followed with an increase of 3.9 years, while Greece and Poland each rose by 3.8 years and Portugal by 3.7 years.

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AI can predict Alzheimer’s with almost 93% accuracy, researchers say

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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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Vision implant firm raises US$230m

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A vision implant firm has raised US$230m as it seeks approval in Europe and the US for a device that restored sight in a small clinical trial.

The Alameda, California-based startup said the funding would support commercialisation of its Prima device.

It said an upcoming launch is planned in Europe and that it would become the first brain computer interface company to have a vision restoration device on the market.

A clinical trial in Europe found the small implant could work as artificial photoreceptors in the retina to restore functional central vision.

The implant is placed under the retina to replace the function of light-sensitive cells lost to disease. A special pair of glasses with an embedded camera and infrared projector sends light signals to the implant.

The study assessed the system in people with advanced dry age-related macular degeneration.

Of the 38 patients who received an implant, 32 were assessed at 12 months. Results showed the device led to a clinically meaningful improvement in visual acuity in 26 people.

The patients were able to read letters, numbers and words, according to the company.

Science Corporation said it has submitted a CE mark application to the European Union and applied to the US Food and Drug Administration for regulatory approval.

Darius Shahida, chief strategy officer, said: “Our imperative is to become the first BCI company to scale and achieve profitability.”

Founded in 2021, the company has now raised about US$490m in total. It said it is expanding its clinical trial programme to include other retinal diseases, such as Stargardt disease and retinitis pigmentosa.

The Series C round included existing investors Khosla Ventures, Lightspeed Venture Partners, Y Combinator, IQT and Quiet Capital.

Science Corporation said demand for the round exceeded its capital needs, with funds also earmarked for expanding research, manufacturing infrastructure and operations.

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Radiology AI may improve workflows

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Radiology AI may improve workflows and patient care, but the technology also brings challenges for radiology departments, research suggests.

A focus issue from the Journal of the American College of Radiology brings together invited research and reviews exploring how AI is being used across different practice types.

Barriers include insufficient infrastructure, strict institutional regulations and a lack of insurance reimbursement, all of which can hamper the integration of AI into routine clinical workflows.

Radiology, the branch of medicine that uses imaging such as X-rays and scans to diagnose and treat disease, is widely seen as one of the fields most likely to be reshaped by AI.

The research includes contributions arguing that workflow improvement is not simply a secondary benefit of AI, but a main determinant of whether a tool succeeds.

Gelareh Sadigh, associate editor for health services research at the Journal of the American College of Radiology, said: “When thoughtfully implemented, AI can complement human expertise and improve efficiency and patient care.

“Successful workflow optimisation requires the integration of AI technology into routine workflows.

“This can be hampered by insufficient infrastructure, strict institutional regulations, and lack of insurance reimbursement.

“Poor integration of AI may degrade workflows, satisfaction, and safety and perpetuate bias in healthcare.”

According to Dr Sadigh, the articles in the focus issue reflect a broader shift in radiology: workflow is not a secondary benefit of AI, but a key factor in whether a tool is successful.

If AI is going to meaningfully help radiology, it must make care delivery better and not more complicated.

Ruth C. Carlos, editor-in-chief of the Journal of the American College of Radiology, said: “This focus issue provides meaningful signposts for AI effectiveness as we navigate a rapidly shifting landscape.”

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