AI is transforming colon cancer diagnosis, rendering it more accurate, new study finds
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Updates every hour. Last Updated: 8-May-2026 05:16 ET (8-May-2026 09:16 GMT/UTC)
A new study shows that AI is revolutionizing colon cancer diagnosis, making detection easier, faster, less invasive, and more accurate. The research, based on a meta-analysis of studies published between 2020 and 2024, highlights how AI has been applied to colon cancer screening and analysis. Findings reveal significant gains in diagnostic precision, particularly in polyp detection during colonoscopies and in histopathological assessments, where deep learning models frequently outperform traditional methods.
Brain development during the initial years is critical, shaped by both environment and caregiver behaviors. To clarify the causal relationship between maternal psychological distress and neuropsychiatric developmental delays, researchers in Japan analyzed data from over 82,000 mother–child pairs in a large-scale nationwide cohort. They found that distress within 1 year postpartum had stronger effects on the toddler’s neurodevelopment than prenatal distress, emphasizing the importance of continuous maternal mental health support before and after childbirth.
Secures core technology for high-resolution wearable devices through semiconductor transfer technology... Speeds up the commercialization of next-generation health monitoring devices. - Research results published in the prestigious international journal Materials Today.
Children who spend a significant amount of time on social media tend to experience a gradual decline in their ability to concentrate. This is according to a comprehensive study from Karolinska Institutet, published in Pediatrics Open Science, where researchers followed more than 8,000 children from around age 10 through age 14.
Scientists have developed a new computational tool that maps multi-gene pathways more comprehensively than ever before.
The study uncovered a previously unknown protein pathway that, when blocked, kills blood cancer cells.
The discovery could lead to new therapies for patients with drug-resistant blood cancers.In a special 11 December event for science journalists, the Science Press Package team will revisit the topic recognized as Science’s Breakthrough of the year in 2023: the development of GLP-1 receptor agonists to treat obesity and their efficacy in blunting obesity-associated health problems. The Mani L. Bhaumik Breakthrough of the Year Award that the American Association for the Advancement of Science, publisher of Science, gave to researchers whose work best underpinned the GLP-1 breakthrough was steered by a committee that included Dr. Katherine Saunders, obesity physician at Weill Cornell Medicine and co-founder of FlyteHealth. Dr. Saunders routinely works with media, responding to questions about how GLP-1s are prescribed as part of comprehensive cardiometabolic care. She recognizes opportunities for news stories on such topics to more accurately reflect the realities of the biology of obesity as a disease, and the science taken into account when treating patients with GLP-1s.
In this briefing, Dr. Saunders will take your questions on these topics. She will be joined by Dr. Robyn Pashby, a clinical health psychologist specializing in obesity-related behavioral science, and Dr. Tracy Zvenyach, a health policy researcher and Director of Policy Strategy at the Obesity Action Coalition. Dr. Pashby will discuss topics including the neurobehavioral links between mental health and obesity, and how GLP-1 medications influence motivation, reward processing, and treatment engagement. Dr. Tracy Zvenyach, who engages in policy advocacy and research to improve access to obesity treatments, will outline the coverage landscape, including how standard health insurance is working, and how it isn’t. She will also discuss policy implications of continued research into GLP-1s, which show a growing range of benefits.
The event was held on Thursday 11 December on Zoom. A recording of the briefing is available at https://aaas.zoom.us/rec/share/IclD5PYqvNWyBwWnFTDHU6MzwhOutQIGKcLvS39_wBlUmeJ2zddWPyRBqoUqEX-3.4Z_u1VPXnfBjp5Yp; the passcode is 3!feGKJZ