Publications by authors named "K Borner"
We present a novel approach to cell phenotyping for spatial proteomics that addresses the challenge of generalization across diverse datasets with varying marker panels. Our approach utilizes a transformer with channel-wise attention to create a language-informed vision model; this model's semantic understanding of the underlying marker panel enables it to learn from and adapt to heterogeneous datasets. Leveraging a curated, diverse dataset with cell type labels spanning the literature and the NIH Human BioMolecular Atlas Program (HuBMAP) consortium, our model demonstrates robust performance across various cell types, tissues, and imaging modalities.
View Article and Find Full Text PDFSupporting Children and Adolescents with Functional Neurological Disorder in the School Setting.
R I Med J (2013)
November 2024
Article Synopsis
- Functional Neurological Disorder (FND) can greatly affect children's ability to succeed in school, impacting their academics, social interactions, and attendance.
- The article emphasizes the importance of continued school participation despite FND symptoms and offers recommendations for collaboration between families and school staff.
- It discusses helpful accommodations within the school environment and reviews resources like IEPs and 504 Plans for additional support.
Iterative Bleaching Extends multipleXity (IBEX) is a versatile method for highly multiplexed imaging of diverse tissues. Based on open science principles, we created the IBEX Knowledge-Base, a resource for reagents, protocols and more, to empower innovation.
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- Wildlife tagging is important for understanding animal behavior and ecology, but the stress from this process can affect their movement and activity levels after being released.
- An analysis of 1585 individuals from 42 mammal species showed that over 70% exhibited significant behavioral changes post-tagging, with herbivores traveling farther while omnivores and carnivores were less active initially.
- Recovery from stress was generally quick, typically within 4-7 days, and animals in areas with a high human presence adapted faster, suggesting that tracking durations should be longer and consider species and location when designing studies.
Efficient algorithms are needed to segment vasculature in new three-dimensional (3D) medical imaging datasets at scale for a wide range of research and clinical applications. Manual segmentation of vessels in images is time-consuming and expensive. Computational approaches are more scalable but have limitations in accuracy.
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