A possible new “jellyfish” galaxy discovered by the James Webb Space Telescope could deepen our understanding of galaxy evolution and star formation.
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A couple tried for 18 years to get pregnant. AI made it happen
After trying to conceive for 18 years, one couple is now pregnant with their first child thanks to the power of artificial intelligence.
The couple had undergone several rounds of in vitro fertilization, or IVF, visiting fertility centers around the world in the hopes of having a baby.
The IVF process involves removing a woman’s egg and combining it with sperm in a laboratory to create an embryo, which is then implanted in the womb.
Scientists discover microplastics in SEMEN and female follicular fluid
From the depths of The Mariana Trench to the summit of Everest, microplastics can now be found almost everywhere on Earth.
Now, it turns out even our most intimate moments can’t escape their blight.
Scientists have discovered microplastics are ‘common’ in both male and female reproductive fluids.
Longevity Summit Dublin 2025 Speakers
Meet the keynote speakers at Longevity Summit Dublin 2025. Explore leaders in aging research, biotech, and longevity science.
Researchers find immune pathway in joint tissue involved in early rheumatoid arthritis
A new study by scientists at the University of Colorado Anschutz Medical Campus reveals that joint tissue from patients with early-stage rheumatoid arthritis often have high levels of a protein called granzyme used by the immune system to attack pathogens.
The study also detected remnants of a bacteria that causes gum disease —gingivitis—in the tissue samples. While a connection between gingivitis and rheumatoid arthritis has long been suspected, this is the first time physical evidence of the bacteria in the joint tissue has been detected.
Researchers said the findings strongly support the hypothesis that these bacteria, initially colonizing gum tissue, somehow drive the development of rheumatoid arthritis, at least in some patients. How the bacteria get into the joints remains unknown. These findings, they said, could lead to earlier diagnosis and treatment of this chronic disease.
AI predicts patients likely to die of sudden cardiac arrest
A new AI model is much better than doctors at identifying patients likely to experience cardiac arrest. The linchpin is the system’s ability to analyze long-underused heart imaging, alongside a full spectrum of medical records, to reveal previously hidden information about a patient’s heart health.
The work, led by Johns Hopkins University researchers, could save many lives and also spare many people unnecessary medical interventions, including the implantation of unneeded defibrillators.
“Currently, we have patients dying in the prime of their lives because they aren’t protected and others who are putting up with defibrillators for the rest of their lives with no benefit,” said senior author Natalia Trayanova, a researcher focused on using artificial intelligence in cardiology. “We have the ability to predict with very high accuracy whether a patient is at very high risk for sudden cardiac death or not.”