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Michael Levin is a biologist at Tufts University working on novel ways to understand and control complex pattern formation in biological systems. Please support this podcast by checking out our sponsors:
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EPISODE LINKS:
Michael’s Twitter: https://twitter.com/drmichaellevin.
Michael’s Website: https://drmichaellevin.org.
Michael’s Papers:
Biological Robots: https://arxiv.org/abs/2207.00880
Synthetic Organisms: https://tandfonline.com/doi/full/10.1080/19420889.2021.2005863
Limb Regeneration: https://science.org/doi/10.1126/sciadv.abj2164
Excerpt from an episode of Longevity by Design, hosted by Dr. Gil Blander and Ashley Reaver, MS, RD, CSSD, who were joined by Dr. George Church, Professor of Genetics at Harvard Medical School.
To watch the entire conversation clic here: https://youtu.be/6XnXeVS1m2U
Foresight Biotech & Health Extension Meeting sponsored by 100 Plus Capital.
Program & apply to join: https://foresight.org/biotech-health-extension-program/
Jennifer Garrison, Buck Institute.
Reframing Health and Aging through the Lens of Reproduct.
Brain-age (BA) estimates based on deep learning are increasingly used as neuroimaging biomarker for brain health; however, the underlying neural features have remained unclear. We combined ensembles of convolutional neural networks with Layer-wise Relevance Propagation (LRP) to detect which brain features contribute to BA. Trained on magnetic resonance imaging (MRI) data of a population-based study (n = 2,637, 18–82 years), our models estimated age accurately based on single and multiple modalities, regionally restricted and whole-brain images (mean absolute errors 3.37–3.86 years). We find that BA estimates capture ageing at both small and large-scale changes, revealing gross enlargements of ventricles and subarachnoid spaces, as well as white matter lesions, and atrophies that appear throughout the brain. Divergence from expected ageing reflected cardiovascular risk factors and accelerated ageing was more pronounced in the frontal lobe. Applying LRP, our study demonstrates how superior deep learning models detect brain-ageing in healthy and at-risk individuals throughout adulthood.
I just uploaded in my YouTube channel my latest videoclip.
It’s an excerpt of an interview made few days ago by Phil Newman, Editor-in-Chief of Longevity. Technology to Aubrey de Grey.
A team of researchers affiliated with several institutions in Switzerland and the U.S. reports evidence that the genetics of longevity are influenced by both gender and age. In their paper published in the journal Science, the group describes their study of aging in mice and humans. João Pedro de Magalhães, with the University of Birmingham, has published a Perspective piece in the same journal issue outlining the technical challenges to understanding how aging works and the work done by the team on this new effort.
Scientists have been studying the aging process for many years but still do not have a good explanation for why organisms age and why some live longer than others. In this new effort, the researchers wondered if something in the genome plays a role in how long a species lives on average.
Noting that another team had created a very large dataset of information regarding aging in nearly 3,000 mice, the researchers found that it also contained genetic information. After obtaining access to the database, they analyzed that genetic information—more specifically, they conducted quantitative trait locus mapping. They found multiple loci that they could associate with longevity, some that were specific to one or the other gender. They also found that mice who weighed more during their early years or who had small litter sizes tended to die younger. They suggest the same genes that were associated with aging may have also played a role in the other two traits. The researchers also found that the aging-related genes they isolated appeared to remain dormant until the latter stages of a given individual’s life.
With more of us living into old age than at any other time, dementia is increasing steadily worldwide, with major individual, family, societal and economic consequences.
Treatment remains largely ineffective and aspects of the underlying pathophysiology are still unclear. But there is good evidence that neurodegenerative diseases —and their manifestation as dementia—are not an inevitable consequence of aging.
Many causes of dementia, including viral infections, are preventable.
Including decaffeinated and instant ones.
A new study conducted by Australian scientists suggests that consuming two to three cups of decaffeinated, ground, and instant coffee can lower the risk of developing cardiovascular disease and dying early.
“In this large, observational study, ground, instant, and decaffeinated coffee were associated with equivalent reductions in the incidence of cardiovascular disease and death from cardiovascular disease or any cause,” says study author Professor Peter Kistler of the Baker Heart and Diabetes Research Institute in a media release.
Personalized Bio-Engineered Human Hearts For All — Dr. Doris A. Taylor, Ph.D., CEO, Organamet Bio Inc.
Dr. Doris A. Taylor, Ph.D. is Chief Executive Officer of Organamet Bio Inc. (https://organametbio.com/) an early phase start-up committed to saving lives and reducing the cost of healthcare for those with heart disease. Organamet has a goal is to make personalized bio-engineered human hearts, available to all who need them, within 5 years, increasing availability and access to hearts, decreasing or eliminating need for immunosuppression, reducing total lifetime transplant costs, and improving quality of life.
