Meta Platforms Inc. is building a new gigawatt-sized data center in Texas to advance its artificial intelligence efforts, the latest in a string of significant investments by the company as it looks to keep pace in the competitive AI industry.
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Longevity gene from supercentenarians offers hope for disease that causes rapid aging in children
A new breakthrough in a rare genetic disease which causes children to age rapidly has been discovered using ‘longevity genes’ found in people who live exceptionally long lives—over 100 years old. The research, by the University of Bristol and IRCCS MultiMedica, found these genes which help keep the heart and blood vessels healthy during aging could reverse the damage caused by this life-limiting disease.
This is the first study, published in Signal Transduction and Targeted Therapy, to show that a gene from long-lived people can slow down heart aging in a progeria model. Also known as Hutchinson-Gilford progeria syndrome (HGPS), progeria is a rare, fatal genetic condition of “rapid-aging” in children.
HGPS is caused by a mutation in the LMNA gene, which leads to the production of a toxic protein called progerin. Most affected individuals die in their teens due to heart problems, although a few, like Sammy Basso, the oldest known person with progeria, have lived longer. Sadly, late last year at the age of 28, Sammy passed away.
Bioelectronic-integrated artificial colon eliminates need for animal testing
Researchers at the University of California, Irvine have developed a 3D human colon model integrated with bioelectronics to aid in colorectal cancer research and drug discovery. The “3D in vivo mimicking human colon” enables precision, personalized medicine and offers a more ethical, accurate and cost-effective alternative to traditional animal testing.
In a paper published recently in the journal Advanced Science, researchers in UC Irvine’s Samueli School of Engineering outline their creation of an approximately 5-by-10-millimeter replica that incorporates essential structural features of a colon, including liminal curvature, multilayered cellular organization and the spontaneous formation of cryptlike indentations.
“The three-dimensional shapes, curves and crypts in our 3D-IVM-HC model are central to maintaining more realistic cell behavior even at a scaled-down size,” said senior author Rahim Esfandyar-pour, UC Irvine assistant professor of electrical engineering and computer science.
First major trial of AI in breast cancer screening launches in the USA
A study led by Sylvester Comprehensive Cancer Center, part of University of Miami Miller School of Medicine (FL, USA) seeks to understand how AI can improve breast cancer screening. The Pragmatic Randomized Trial of Artificial Intelligence for Screening Mammography (PRISM) trial will examine hundreds of thousands of mammograms to “assess AI’s true impact”
Despite huge investments in research, breast cancer remains a leading cause of mortality in US women. Routine mammography has increased the diagnosis of early-stage cancer, but the increased incidence of false positives can lead to unnecessary testing, anxiety and higher costs.
“As the first major randomized trial of AI in breast cancer screening in the US, this study represents a pivotal step,” commented Jose Net, University of Miami Miller School of Medicine and co-principal investigator of the study. “Our goal is to rigorously and objectively assess AI’s impact, identifying who benefits and who may not.”
Artificial Intelligence in Cancer Drug Discovery in 2025
Discover how Artificial Intelligence in Cancer Drug Discovery accelerates target identification, drug design, biomarkers, and clinical trials.
