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ENTITY polyethylene terephthalate

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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Total · 30d
13
13 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
10
10 over 90d
TIER MIX · 90D
TOPICS
TIMELINE
  1. 2026-06-19 regulatory An AI system used by PET was shut down due to security concerns and potential personal data exposure. source
SENTIMENT · 30D

3 day(s) with sentiment data

RECENT · PAGE 1/1 · 13 TOTAL
  1. RESEARCH · CL_133124 ·

    New AI framework improves whole-body MRI translation using PET guidance

    Researchers have developed a new framework called Heterogeneity-Adaptive Diffusion Schrodinger Bridge (HA-DSB) to improve whole-body MRI translation. This method addresses challenges in translating MRI scans across diff…

  2. TOOL · CL_100600 ·

    PET Industry Tackles PPWR, Digital Passports, and AI with New Data Resource

    A new industry resource page has been launched to address key challenges in the PET industry, including the EU's Packaging and Packaging Waste Regulation (PPWR), the concept of a digital product passport, and the integr…

  3. TOOL · CL_100511 ·

    Danish intelligence agency PET shuts down AI system over data leak risks

    An AI system used by Denmark's domestic intelligence agency, PET, has been shut down due to security concerns. The system, a language model, was capable of revealing personal data that could be accessed by employees of …

  4. TOOL · CL_93725 ·

    New method extracts electrostatics from AI potentials

    Researchers have developed a method called Latent Ewald Summation (LES) to extract electrostatic properties from foundation machine learning interatomic potentials (MLIPs). This technique allows for the creation of more…

  5. RESEARCH · CL_80218 ·

    New AI models tackle PET image denoising challenges

    Researchers have developed two novel deep learning approaches for improving Positron Emission Tomography (PET) image denoising. UniPET utilizes domain generalization and region-aware learning to create a universal model…

  6. TOOL · CL_53704 ·

    New Vision Transformer Model Aids Alzheimer's Detection via MRI

    Researchers have developed a novel Vision Transformer model, named CSV-ViT, designed to analyze brain MRI data for Alzheimer's disease pathology. This model utilizes a unique approach of variable-sized cortical superver…

  7. TOOL · CL_31195 ·

    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…

  8. TOOL · CL_30575 ·

    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…

  9. RESEARCH · CL_22520 ·

    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…

  10. RESEARCH · CL_15499 ·

    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…

  11. RESEARCH · CL_06518 ·

    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…

  12. RESEARCH · CL_06516 ·

    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 …

  13. RESEARCH · CL_05415 ·

    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…