Costerwell Khyriem

Citywide implementation of a rapid whole-genome sequencing program for critically ill pediatric patients

Fatma Rabea, Ibtesam AlJasmi, Ruchi Jain, Sathishkumar Ramaswamy et autres

Rapid whole-genome sequencing (rWGS) enables timely diagnosis and management of critically ill patients, particularly in consanguineous populations with a high burden of recessive diseases. Here we report Little Falcon, a citywide rWGS program implemented within centralized neonatal and pediatric intensive care units …

ae (code pays fourni par la source)

The interpretability paradox in cancer imaging and risk prediction: a critical narrative review of explainable AI, failure modes, and design alternatives

Omer S. Alkhnbashi, Rasheed Mohammad, Costerwell Khyriem, Sven Hauns et autres

Deep learning has advanced cancer imaging and cancer-related risk prediction, but many high-performing models remain difficult to interrogate in clinically meaningful terms. This creates an interpretability paradox: gains in predictive performance often coincide with reduced transparency, while widely used post-hoc explanations can …

ae, gb, de, au, ye, ca (code pays fourni par la source)

In Vitro Single-Cell Transcriptomic Profiling of Cultured Stem Cells From Apical Papilla and Dental Pulp Stem Cells: Unveiling Cellular Heterogeneity

Maanas S. Shah, Mohamed Al Sayegh, Mennatullah M. Khalil, Mano Sundarabupathi et autres

Introduction Dental-derived mesenchymal stem cells show considerable variability in their differentiation potential due to the use of nonspecific surface markers and technical limitations in isolation protocols. This study aimed to employ single-cell RNA sequencing to compare the cellular composition of cultured stem …

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LITTLE FALCON: A rapid whole genome sequencing program for critically ill patients in a Middle Eastern healthcare system

Ahmad Abou Tayoun, Fatma Rabea, Ibtesam AlJasmi, Ruchi Jain et autres

us, ae, Tunisie (code pays fourni par la source)

Autoencoder/RandomForest–TabPFN for cross-cancer metabolomics: prostate and breast cancer diagnosis using paper spray and ion mobility-mass spectrometry techniques

Sven Hauns, Frederico Garcia Pinto, Costerwell Khyriem, Ankita Singh et autres

Accurate and rapid disease diagnosis, particularly in prostate cancer (PC) and breast cancer (BC), is critical for early intervention and improved patient outcomes. Metabolomic signatures represent a robust molecular framework for elucidating cancer-associated biochemical reprogramming. The use of artificial intelligence (AI) in …

de, br, ae, ye, gb, us, ca, pt (code pays fourni par la source)

DeepEGFR a graph neural network for bioactivity classification of EGFR inhibitors

Aijaz Ahmad Malik, Costerwell Khyriem, Sven Hauns, Imran Khan et autres

Epidermal Growth Factor Receptor (EGFR) plays a critical role in the development of several cancers. Thus, modulation/inhibition of EGFR activity is an appealing target of developing novel cancer therapeutics. With the advent of modern machine learning technologies, it is now possible to …

ae, de, au, br, ye, gb, sa (code pays fourni par la source)

Appraisal of Clinical Explanatory Variables in Subtyping of Type 2 Diabetes Using Machine Learning Models

Amar Hassan Khamis, Fatima Abdul, Stafny Dsouza, Fatima Sulaiman et autres

Background: Clustering type 2 diabetes (T2D) remains a challenge due to its clinical heterogeneity and multifactorial nature. We aimed to evaluate the validity and robustness of the clinical variables in defining T2D subtypes using a discovery-to-prediction design. Methods: Five explanatory clinical aetiology …

ae, Soudan (code pays fourni par la source)

AVDB: The Arab Variation and Disease Burden Database

Omer S. Alkhnbashi, Ruchi P Jain, Sathishkumar Ramaswamy, Costerwell Khyriem et autres

Abstract Motivation Public genomic databases are crucial to precision medicine but often lack representation from Arab populations, which have distinct genetic structures due to high consanguinity rates. Results We present the Arab Variation and Disease Burden Database (AVDB), derived from 1,194 exomes …

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Characterizing Circulating microRNA Signatures of Type 2 Diabetes Subtypes

Fatima Sulaiman, Costerwell Khyriem, Stafny Dsouza, Fatima Rammadan Abdul et autres

Type 2 diabetes (T2D) is a heterogeneous disease influenced by both genetic and environmental factors. Recent studies suggest that T2D subtypes may exhibit distinct gene expression profiles. In this study, we aimed to identify T2D cluster-specific miRNA expression signatures for the previously …

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Taurine deficiency as a driver of aging

Pradeep Kumar Singh, Kishore Gollapalli, Stefano Mangiola, Daniela Schranner et autres

In Brief: The authors describe a wide range of studies. Firstly, observational studies showed that circulating taurine concentrations decline with age in mice, monkeys, and humans – and in the latter, low taurine was associated with metabolic disease (abdominal fat, blood pressure, …

Taurine deficiency as a driver of aging

Parminder Pal Singh, Kishore Gollapalli, Stefano Mangiola, Daniela Schranner et autres

Aging is associated with changes in circulating levels of various molecules, some of which remain undefined. We find that concentrations of circulating taurine decline with aging in mice, monkeys, and humans. A reversal of this decline through taurine supplementation increased the health …

in, us, au, de, fr, gb, it, tr, fi, sg (code pays fourni par la source)

STOmics-GenX: CRISPR based approach to improve cell identity specific gene detection from spatially resolved transcriptomics

Jennifer Currenti, Liang Qiao, Rhea Pai, Saurabh Gupta et autres

ABSTRACT The spatial organisation of cells defines the biological functions of tissue ecosystems from development to disease. Recently, an array of technologies have been developed to query gene expression in a spatial context. These include techniques such as employing barcoded oligonucleotides, single-molecule …

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