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#1141Environmental ScienceFront Page14 November 2025

Marine Microplastics Host Unique and Potentially Risky Microbial 'Cities'

Researchers in Taiwan have discovered that floating microplastics harbour significantly more diverse microbial communities than surrounding seawater or natural wood debris. These unique ecosystems, known as the 'plastisphere', may play complex roles in nutrient cycling but also pose risks by transporting potential pathogens.

By Muthu, Bairoliya, Girija, Tseng, Cao, Hwang, Ho

#1142NeuroscienceFront Page17 December 2025

Of Mice and Memory: Unravelling Kaempferol Neuroprotective Effects via the Gut

A preclinical study demonstrates that the flavonoid kaempferol can reverse signs of brain ageing in mice. By repairing the intestinal barrier and encouraging beneficial bacteria, the compound appears to halt neuroinflammation and restore spatial memory.

By Wang, Zhang, Wang, Zhao, Wang, Wang, Sun, Ren, Li

#1143Medicine & HealthFront Page13 November 2025

Pinpoint Brain Therapy Achieved Without Surgery

Scientists are developing a pioneering technique called Temporal Interference (TI) stimulation to precisely target deep brain regions without surgery. By crossing two harmless, high-frequency electric fields, they create a focused, low-frequency effect deep inside the brain, overcoming the limitations of older, less precise methods.

By Xu, Cui, Xiao, Manshaii, Hong, Chen

#1144NeuroscienceFront Page13 November 2025

New AI Tool Teaches Digital Neurons to Behave Like Real Ones

Neuroscientists have a powerful new tool called JAXLEY for creating highly detailed models of brain cells. By harnessing modern AI techniques and GPU acceleration, this framework can efficiently teach digital neurons to mimic real biological behaviour or even perform complex computational tasks.

By Deistler, Kadhim, Pals, Beck, Huang, Gloeckler, Lappalainen, Schröder, Berens, Gonçalves, Macke

#1145Computer Science & AIFront Page21 November 2025

AI Models Mine Medical Records for Cancer Prognosis

Researchers have tested whether large language models can accurately extract clinical data from unstructured patient records to predict bladder cancer survival. While GPT-4 demonstrated superior accuracy, specific offline models also showed significant promise for automating this complex medical task.

By Sun, Hadjiiski, Bruno, Gormley, Chan, Caoili, Cohan, Alva, Mihalcea, Zhou, Gulani

#1146Chemistry & Material ScienceFront Page1 December 2025

AI Accelerates Discovery of Reactive Molecules for Smart Materials

Researchers have developed a deep-learning model to rapidly predict the global electrophilicity index, a key measure of chemical reactivity. This approach matches the accuracy of complex quantum calculations at a fraction of the cost, identifying novel compounds for self-healing polymers.

By Jacobs, Vermeersch, De Vleeschouwer

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