Polyethylene Terephthalate
PulseAugur coverage of Polyethylene Terephthalate — every cluster mentioning Polyethylene Terephthalate across labs, papers, and developer communities, ranked by signal.
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Microplastics leach from packaging into food and drinks annually
A new analysis estimates that nearly 1,000 tonnes of microplastics transfer from packaging into food and drinks annually, with individuals ingesting approximately 130 milligrams each year. The study highlights that cert…
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BrainAnytime AI handles varied brain scan data for improved analysis
Researchers have developed BrainAnytime, a novel pretraining framework designed for brain image analysis that can handle incomplete or varied imaging data. This unified model accepts any available imaging sequences, fro…
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NeuroAgent uses LLM agents to automate neuroimaging analysis and research
Researchers have developed NeuroAgent, an LLM-driven framework designed to automate complex preprocessing and analysis for multimodal neuroimaging data. This system utilizes a hierarchical multi-agent architecture to ge…
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AI generates synthetic PET scans to improve lung cancer histology classification
Researchers have developed a novel framework using a 3D Pix2Pix Generative Adversarial Network (GAN) to create synthetic PET scans from CT data for non-small cell lung cancer (NSCLC) histology classification. This "virt…
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New CT-guided regularization improves whole-body PET registration accuracy
Researchers have developed a new method for aligning whole-body PET scans, crucial for tracking cancer progression. Their approach uses CT scans to guide the deformation process, applying stronger regularization to rigi…
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New AI model improves pediatric PET scans by removing CT radiation
Researchers have developed a novel dual-domain network called the Generalizable PET Correction Network (GPCN) to improve CT-free PET imaging for pediatric patients. This network aims to provide accurate attenuation and …
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New frameworks enhance text-guided 3D medical image segmentation accuracy
Researchers have developed new methods for text-guided 3D medical image segmentation, aiming to improve precision in analyzing scans like MRIs. One approach, "Align then Refine," uses a multi-encoder U-Net with alignmen…