Jay Patel
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View article: Performance Investigation of Savonius Hydrokinetic Rotor with Novel Blades Featuring Surface Square Collars and Rectangular Edge Waves
Performance Investigation of Savonius Hydrokinetic Rotor with Novel Blades Featuring Surface Square Collars and Rectangular Edge Waves Open
The current work's objective is to investigate how the Savonius rotor performs in relation to the surface square collars and rectangular waves. The experimental study was carried out for three different blade profiles: conventional semicir…
View article: Ultra-High Resolution 9.4T Brain MRI Segmentation via a Newly Engineered Multi-Scale Residual Nested U-Net with Gated Attention
Ultra-High Resolution 9.4T Brain MRI Segmentation via a Newly Engineered Multi-Scale Residual Nested U-Net with Gated Attention Open
A 9.4T brain MRI is the highest resolution MRI scanner in the public market. It offers submillimeter brain imaging with exceptional anatomical detail, making it one of the most powerful tools for detecting subtle structural changes associa…
View article: Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging
Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging Open
As early detection of breast cancer strongly favors successful therapeutic outcomes, there is major commercial interest in optimizing breast cancer screening. However, current risk prediction models achieve modest performance and do not in…
View article: Explaining Surface Layer Theory Departures in Marine Flux Profiles with Data-Driven Discovery
Explaining Surface Layer Theory Departures in Marine Flux Profiles with Data-Driven Discovery Open
Monin--Obukhov Similarity Theory (MOST), which underpins nearly all bulk estimates of surface fluxes in the atmospheric surface layer, assumes monotonic wind profiles and vertically uniform momentum and heat fluxes. Here, we show that cond…
View article: Benchmarking the Discovery Engine
Benchmarking the Discovery Engine Open
The Discovery Engine is a general purpose automated system for scientific discovery, which combines machine learning with state-of-the-art ML interpretability to enable rapid and robust scientific insight across diverse datasets. In this p…
View article: Dynamic Reprogramming of Stromal Pdgfra-expressing cells during WNT-Mediated Transformation of the Intestinal Epithelium
Dynamic Reprogramming of Stromal Pdgfra-expressing cells during WNT-Mediated Transformation of the Intestinal Epithelium Open
Stromal fibroblasts regulate critical signaling gradients along the intestinal crypt-villus axis 1 and provide a niche that supports adjacent epithelial stem cells. Here we report that Pdgfra -expressing fibroblasts secrete ligands that pr…
View article: Beta-blockers or Placebo for Primary Prophylaxis (BOPPP) of oesophageal varices: study protocol for a randomised controlled trial
Beta-blockers or Placebo for Primary Prophylaxis (BOPPP) of oesophageal varices: study protocol for a randomised controlled trial Open
Background Liver disease is within the top five causes of premature death in adults. Deaths caused by complications of cirrhosis continue to rise, whilst deaths related to other non-liver disease areas are declining. Portal hypertension is…
View article: Supplementary Figure S1 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma
Supplementary Figure S1 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma Open
Supplemental Figure 1. Overall survival for patients with GBM stratified by seizure at presentation (A), lymphopenia prior to chemoradiation (B), venous thromboembolism (C), pseudoprogression (D) and early progression (E). Adverse events a…
View article: Supplementary Table S3 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma
Supplementary Table S3 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma Open
Supplemental Table 3A: Univariate analysis of molecular alterations associated with seizure at diagnosis showing significant genes at a nominal p<0.05. Genes associated with seizures at a false discovery rate (FDR) <0.2 were tested in mult…
View article: Supplementary Table S5 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma
Supplementary Table S5 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma Open
Supplemental Table 5: Association between genetic alterations and age at diagnosis showing significant genes at a false discovery rate (FDR)<0.2.
View article: Data from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma
Data from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma Open
Purpose:Adverse clinical events cause significant morbidity in patients with GBM (GBM). We examined whether genomic alterations were associated with AE (AE) in patients with GBM.Experimental Design:We identified adults with histologically …
View article: Supplementary Table S2 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma
Supplementary Table S2 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma Open
Supplemental Table 2: Multivariable analyses of clinical factors associated with adverse events* showing significant associations at p<0.05.
View article: Supplementary Table S4 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma
Supplementary Table S4 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma Open
Supplemental Table 4: Multivariable analysis of molecular alterations associated with seizure at presentation showing significant genes at a false discovery rate (FDR) <0.2. Multivariable models included preoperative tumor volume, tumor lo…
View article: Supplementary Table S4 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma
Supplementary Table S4 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma Open
Supplemental Table 4: Multivariable analysis of molecular alterations associated with seizure at presentation showing significant genes at a false discovery rate (FDR) <0.2. Multivariable models included preoperative tumor volume, tumor lo…
View article: Supplementary Table S1 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma
Supplementary Table S1 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma Open
Supplemental Table 1: Overall survival associated with adverse events.
View article: Supplementary Figure S1 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma
Supplementary Figure S1 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma Open
Supplemental Figure 1. Overall survival for patients with GBM stratified by seizure at presentation (A), lymphopenia prior to chemoradiation (B), venous thromboembolism (C), pseudoprogression (D) and early progression (E). Adverse events a…
View article: Supplementary Table S1 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma
Supplementary Table S1 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma Open
Supplemental Table 1: Overall survival associated with adverse events.
View article: Supplementary Table S5 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma
Supplementary Table S5 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma Open
Supplemental Table 5: Association between genetic alterations and age at diagnosis showing significant genes at a false discovery rate (FDR)<0.2.
View article: Supplementary Table S3 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma
Supplementary Table S3 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma Open
Supplemental Table 3A: Univariate analysis of molecular alterations associated with seizure at diagnosis showing significant genes at a nominal p<0.05. Genes associated with seizures at a false discovery rate (FDR) <0.2 were tested in mult…
View article: Data from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma
Data from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma Open
Purpose:Adverse clinical events cause significant morbidity in patients with GBM (GBM). We examined whether genomic alterations were associated with AE (AE) in patients with GBM.Experimental Design:We identified adults with histologically …
View article: Supplementary Table S2 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma
Supplementary Table S2 from Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma Open
Supplemental Table 2: Multivariable analyses of clinical factors associated with adverse events* showing significant associations at p<0.05.
View article: Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation
Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation Open
Purpose To present results from a literature survey on practices in deep learning segmentation algorithm evaluation and perform a study on expert quality perception of brain tumor segmentation. Materials and Methods A total of 180 articles…
View article: Prevalence and Impact of Malnutrition in Hospitalizations Among Celiac Diseases: A Nationwide Analysis
Prevalence and Impact of Malnutrition in Hospitalizations Among Celiac Diseases: A Nationwide Analysis Open
Patients with CD and malnutrition are at high risk of worse outcomes. Early identification of malnutrition in CD can help prevent morbidity and mortality. Even strict adherence to a gluten-free diet has been associated with malnutrition. F…
View article: Multivariate Index Relationship Exploration Using Advanced Machine Learning Techniques
Multivariate Index Relationship Exploration Using Advanced Machine Learning Techniques Open
Stock market forecasts have always attracted the attention of many analysts and researchers. Popular theory suggests that stock markets are inherently straightforward, and trying to predict them is a trivial matter. It is a difficult probl…
View article: Supplementary Tables 1-3 from Genetic Analysis of Transforming Events That Convert Chronic Myeloproliferative Neoplasms to Leukemias
Supplementary Tables 1-3 from Genetic Analysis of Transforming Events That Convert Chronic Myeloproliferative Neoplasms to Leukemias Open
Supplementary Tables 1-3 from Genetic Analysis of Transforming Events That Convert Chronic Myeloproliferative Neoplasms to Leukemias