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Artificial intelligence (AI) has become an indispensable component in the analysis of microscopic data. However, while AI models are becoming better and more complex, the computing power and associated energy consumption are also increasing.

Researchers at the Leibniz-Institut für Analytische Wissenschaften (ISAS) and Peking University have therefore created a free compression software that allows scientists to run existing bioimaging AI models faster and with significantly lower .

The researchers have presented their user-friendly toolbox, called EfficientBioAI, in an article published in Nature Methods.

It’s all thanks to what is called the “solar maximum,” when the sun is reaching its peak of a roughly 11-year cycle, which NASA says began again in December 2019. The sun’s activity has been ramping up since then, with an expected peak in July 2025.

MORE: Pilot performs mid-flight maneuver to give passengers a rare view of the northern lights

The northern lights, also known as the aurora borealis, happen in regions around the earth’s magnetic pole. They appear when electrons from solar flares interact with atoms and molecules in the Earth’s atmosphere. That in turn creates lights and multiple colors in the sky.

I hope more research is fruitful because I got the doctor’s results from my recent colonoscopy. The polyps are benign but pre cancerous. I go back in 5 years and I’ll be eating healthier and exercising. I gotta admit I don’t feel great but it could be something I ate.


Scientists in China have demonstrated a new kind of antidepressant could also have the potential to restore the body’s ability to fight some types of cancer.

In strategic combination with anti-tumor drugs, the oral antidepressant ansofaxine hydrochloride appears to inhibit colon cancer cell growth in cell cultures and in mice, strengthening the immune system and inducing a form of programmed cell death.

Yet to be tested on humans, it’s unclear how the results will translate as an actual cancer treatment.

Researchers at City of Hope and Translational Genomics Research Institute (TGen) have developed and tested an innovative machine-learning approach that could one day enable the earlier detection of cancer in patients by using smaller blood draws. The study is published in the journal Science Translational Medicine.

“A huge body of evidence shows that caught at later stages kills people. This new technology gets us closer to a world where people will receive a annually to detect cancer earlier when it is more treatable and possibly curable,” said Cristian Tomasetti, Ph.D., corresponding author of the new study and director of City of Hope’s Center for Cancer Prevention and Early Detection.

Tomasetti explained that 99% of people diagnosed with Stage 1 will be alive five years later; however, if it is found at Stage 4, when disease has spread to other organs, the five-year survival drops to 31%.

Aging is a common phenomenon among organisms, however, lifespan tends to vary across different species to a significant extent among vertebrates themselves. Aging occurs due to the gradual increase in DNA damage, disruption of cellular organelles, deregulation of protein function, disrupted metabolism and oxidative stress [1].

Longevity. Technology: The differences in lifespan are driven by trade-offs and evolutionary trajectories in the genomes of organisms. Age-specific selection also impacts allele (variations of a gene) frequencies in a population. This in turn impacts environment-specific mortality risk and disease susceptibility. Moreover, mutational processes are influenced by life history and age in both somatic and germline cells.

Now, a new review published in Trends in Genetics discusses recent advances in the evolution of aging at population, organismal and cellular scales.