Zobrazeno 1 - 10
of 1 513
pro vyhledávání: '"Almeida, P. S."'
Autor:
Bhawsar, Praphulla MS, Ramin, Cody, Lenz, Petra, Duggan, Máire A, Harris, Alexandra R, Jenkins, Brittany, Cora, Renata, Abubakar, Mustapha, Gierach, Gretchen, Saltz, Joel, Almeida, Jonas S
Crown-like structures (CLS) in breast adipose tissue are formed as a result of macrophages clustering around necrotic adipocytes in specific patterns. As a histologic marker of local inflammation, CLS could have potential diagnostic utility as a biom
Externí odkaz:
http://arxiv.org/abs/2409.08275
Autor:
Ge, Aaron, Saha, Monjoy, Duggan, Maire A., Lenz, Petra, Abubakar, Mustapha, García-Closas, Montserrat, Balasubramanian, Jeya, Almeida, Jonas S., Bhawsar, Praphulla MS
Background: Tissue Microarrays (TMAs) significantly increase analytical efficiency in histopathology and large-scale epidemiologic studies by allowing multiple tissue cores to be scanned on a single slide. The individual cores can be digitally extrac
Externí odkaz:
http://arxiv.org/abs/2407.21233
Genotype imputation enhances genetic data by predicting missing SNPs using reference haplotype information. Traditional methods leverage linkage disequilibrium (LD) to infer untyped SNP genotypes, relying on the similarity of LD structures between ge
Externí odkaz:
http://arxiv.org/abs/2407.09355
ClusterRadar: an Interactive Web-Tool for the Multi-Method Exploration of Spatial Clusters Over Time
Spatial cluster analysis, the detection of localized patterns of similarity in geospatial data, has a wide-range of applications for scientific discovery and practical decision making. One way to detect spatial clusters is by using local indicators o
Externí odkaz:
http://arxiv.org/abs/2404.05897
Autor:
Afonso, Martim, Bhawsar, Praphulla M. S., Saha, Monjoy, Almeida, Jonas S., Oliveira, Arlindo L.
Whole Slide Images (WSI), obtained by high-resolution digital scanning of microscope slides at multiple scales, are the cornerstone of modern Digital Pathology. However, they represent a particular challenge to AI-based/AI-mediated analysis because p
Externí odkaz:
http://arxiv.org/abs/2404.01446
Publikováno v:
Physical Review B 108, 224433 (2023)
We use the density matrix renormalization group (DMRG) and a hard-core boson map to investigate the quantum phase transitions present in the phase diagram of the frustrated Heisenberg ladder in a magnetic field. The quantum bicritical point is observ
Externí odkaz:
http://arxiv.org/abs/2312.17399
Autor:
Balasubramanian, Jeya Balaji, Choudhury, Parichoy Pal, Mukhopadhyay, Srijon, Ahearn, Thomas, Chatterjee, Nilanjan, García-Closas, Montserrat, Almeida, Jonas S.
Objective: Absolute risk models estimate an individual's future disease risk over a specified time interval. Applications utilizing server-side risk tooling, such as the R-based iCARE (R-iCARE), to build, validate, and apply absolute risk models, fac
Externí odkaz:
http://arxiv.org/abs/2310.09252
Autor:
Almeida, Maurício S., Caldas, Francisco Rodrigo de L., de Almeida, Rodrigo Q., Eleutério, José A., da Silva, Letícia V.
The use of facial masks played a pivotal role in combating COVID-19 during the pandemic period, particularly in the absence of vaccines for the disease. This study elucidates how this type of equipment can effectively contain viruses and bacteria of
Externí odkaz:
http://arxiv.org/abs/2309.12346
Autor:
Arias, Julieta P. Sánchez, Németh, Péter, de Almeida, Elisson S. G., Diaz, Matias A. Ruiz, Kraus, Michaela, Haucke, Maximiliano
We aim to combine asteroseismology, spectroscopy, and evolutionary models to establish a comprehensive picture of the evolution of Galactic blue supergiant stars (BSG). To start such an investigation, we selected three BSG candidates for our analysis
Externí odkaz:
http://arxiv.org/abs/2308.12745
Autor:
Ge, Aaron, Martins, Yasmmin Côrtes, Zhang, Tongwu, Chen, Kailing, Landi, Maria Teresa, Park, Brian, Balasubramanian, Jeya, Almeida, Jonas S
In our previous work, we demonstrated that it is feasible to perform analysis on mutation signature data without the need for downloads or installations and analyze individual patient data at scale without compromising privacy. Building on this found
Externí odkaz:
http://arxiv.org/abs/2308.02995