Health

Biodiversity in lakes: multimodal AI crunches eADN data to monitor pollution

• Pollution and land-use change pose a major threat to biodiversity in lakes and other natural ecosystems.
• A team of scientists from the University of Birmingham is pioneering an innovative approach involving explainable machine learning to study these complex dynamics.
• Their research, which highlights hitherto unforeseen environmental impacts, will pave the way for better management of complex ecosystems.
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Young woman wearing gloves conducts environmental research by a lake. She uses equipment including a laptop and test kits. Trees and water in the background.
A gloved hand uses a pipette to add red liquid into culture plates in a laboratory setting.

Pioneering pharmaceutical and food industry innovation with organs-on-chips

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“I lost track of time”: how we get caught up in digital applications?

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An individual in a lab coat and protective glasses holds a microprocessor in their gloved hand. The setting is bright and modern, suggesting a research or technology development laboratory.

Algorithmic biases: neural networks are also influenced by hardware

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Two individuals sitting on a couch, playing video games. One is holding a game controller, focused on the screen, while the other appears to be giving advice or sharing strategies. The setting is modern and bright, with a kitchen visible in the background.

Video games : a study documents beneficial effects on mental health

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person wearing bioelectronic fibre arrays for dual-ECG signal acquisition / credit: Wenyu Wang and Yuan Shui

Bioelectronics: disease monitoring sensors that can be printed directly onto human skin

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Digital therapeutics (DTx)

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