8 papers · ranked by Valyu relevance
Huihai Wu, Ashleigh Lister, Iain Macaulay, Katie Long + 10 more
Single-cell and spatial transcriptomics are transforming our understanding of cellular heterogeneity and tissue organization, yet their analytical complexity remains a major bottleneck. Here, we present EISCA and EISTA, two standardized, end-to-end pipelines for single-cell RNA- seq and imaging-based spatial…
Peng Wang, Zixiong Fan, Haoyu Wu, Kaijiao Wang + 4 more
Accurate preoperative segmentation of colorectal cancer lymph node metastasis holds significant clinical value for formulating individualized surgical strategies. However, accurate segmentation remains a formidable challenge due to the complex backgrounds, small sizes, irregular shapes, and indistinct boundaries…
Emma C. Murray, Namya Manoj, Lynn Ziegler, Gillian M. Hodge + 9 more
Genetic variations in the MYO9B gene have been associated with Crohn’s disease, celiac disease, and ulcerative colitis. These diseases have been characterized as primarily immune disorders. However, the overall molecular basis for the influence of Myo9b in these diseases remains poorly understood. Using in vivo small…
Braden Charles DeMattei, Stephanie E. Hampton
Understanding species interactions is integral to understanding ecosystem function and predicting how disturbances may affect the services provided to society. Analysis of trophic interactions, however, requires a significant investment of time and resources. Using a simple predator-prey pairing of a semi-sessile…
Cheryl Kim, Denise Hinz, Aaron Middlebrook, Aaron J Tyznik + 4 more
Circulating cell-cell complexes (doublets) provide critical insights into in vivo immune interactions. Here, we leverage high-dimensional imaging spectral cytometry to systematically map the landscape of immune doublets in human peripheral blood. By integrating morphometric imaging features with a 22-color spectral…
Matteo Farina, Pietro Zamberlan, Arno Onken, Ulisse Ferrari
For datasets with thousands of neurons and images, vision transformers have proven successful at predicting neural responses to stimuli. However, they are expected to underperform in low-data regimes, where CNNs and Gaussian processes are considered more effective. We ask whether transformers can be made competitive…
William Pham, Mohamed S Khlif, Zhibin Chen, Alexander Jarema + 3 more
The Cognition and Neocortical Volume After Stroke (CANVAS) study is a prospective observational cohort study comprising individuals with ischaemic stroke in any site or territory (n = 124) and age- and sex-matched controls without a history of stroke (n = 39).21 The sample sizes for the control and stroke cohorts were…
Mirna El Ghosh, Varvara Kalokyri, Maciej Bobowicz, Melanie Sambres + 11 more
Background Semantic interoperability in health care, essential for seamless integration of information systems, is partially achieved through the use of terminologies and common data standards that define the semantic structure of data. Various complexities arise when using real-world health care data, including…