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A new review by researchers from Oxford Population Health and the University of Iceland, published in Nature Aging, reveals how your DNA shapes reproductive health, fertility, and even life expectancy.

Led by researchers from the University of Oxford’s Leverhulme Centre for Demographic Science and the University of Iceland, the review explores how genetic variations can explain differences in reproductive health and longevity.

The study provides the most comprehensive review of male and female genetic discoveries of reproductive traits to date, and provides new insights into how our DNA affects when we have children, the timing of menopause, and even how that is connected to how long we live.

Scientists used AI to estimate the brain age of 739 healthy seniors and found that lifestyle and health conditions impact brain aging.

Researchers at Karolinska Institutet have used an AI tool to estimate the biological age of brains from MRI scans of 70-year-olds. Their analysis revealed that factors harmful to vascular health, such as inflammation and high blood sugar levels, are linked to older-looking brains, while a healthy lifestyle was associated with younger-looking brains. These findings were published today (December 20) in Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association.

Leveraging AI to determine brain age.

Dr Torbjörn Ogéus is a pain specialist with clinical experience in regenerative medicine. He has been treating tendons and osteoarthritis (OA) with growth factors for 15 years. 6 years ago, Ogéus did his first stem cell treatment for OA and recently published one of the first clinical studies in the world on exosomes and OA.

Certain cells in the brain create a nurturing environment, enhancing the health and resilience of their neighbors, while others promote stress and damage. Using spatial transcriptomics and AI, researchers at Stanford’s Knight Initiative for Brain Resilience discovered these interactions playing out across the lifespan—suggesting local cellular interactions may significantly influence brain aging and resilience.

A new study was published in Nature in an article titled, “Spatial transcriptomic clocks reveal cell proximity effects in brain aging.”

“What was exciting to us was finding that some cells have a pro-aging effect on neighboring cells while others appear to have a rejuvenating effect on their neighbors,” said Anne Brunet, the Michele and Timothy Barakett Endowed Professor in Stanford’s department of genetics and co-senior investigator of the new study.

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Researchers at University of North Carolina at Chapel Hill and University of Maryland recently developed MyTimeMachine (MyTM), a new AI-powered method for personalized age transformation that can make human faces in images or videos appear younger or older, accounting for subjective factors influencing aging.

This algorithm, introduced in a paper posted to the arXiv preprint server, could be used to broaden or enhance the features of consumer-facing picture-editing platforms, but could also be a valuable tool for the film, TV and entertainment industries.

“Virtual aging techniques are widely used in (VFX) in movies, but they require good prosthetics and makeup, often tiresome and inconvenient for actors to wear regularly during shooting,” Roni Sengupta, the researcher who supervised the study, told Tech Xplore.

A spatially resolved single-cell transcriptomics map of the mouse brain at different ages reveals signatures of ageing, rejuvenation and disease, including ageing effects associated with T cells and rejuvenation associated with neural stem cells.