Results 171 to 180 of about 3,153,117 (306)

Human Engineered Heart Tissues Reproduce Trigger‐ and Substrate‐Driven Mechanisms of Ventricular Tachycardia

open access: yesAdvanced Science, EarlyView.
Engineered heart tissues (EHTs) derived from human iPSCs replicate mechanisms of ventricular tachycardia at the tissue level. Acquired Long‐QT conditions cause early afterdepolarizations, wavebreak, and transient rotors; in contrast, focal cryoinjury forms a stable substrate that supports ongoing reentry.
Matthew Fiedler   +4 more
wiley   +1 more source

SMAD3 Gene Polymorphisms and Protein Expression as Potential Biomarkers of Susceptibility to Knee Osteoarthritis. [PDF]

open access: yesCureus
Sharma AC   +7 more
europepmc   +1 more source

XChrom: A Cross‐Cell Chromatin Accessibility Prediction Model Integrating Genomic Sequence and Cellular Context

open access: yesAdvanced Science, EarlyView.
XChrom is a deep learning framework that integrates genomic sequence and single‐cell context to predict chromatin accessibility. It generalizes to unseen cells and genomic regions, enabling cross‐sample and cross‐species analysis. Applied to COVID‐19 patient data, XChrom reveals key transcriptional regulatory mechanisms and disease‐associated ...
Yuanyuan Miao   +5 more
wiley   +1 more source

An Integrated Framework Coupling Hierarchical Hyperspectral i‐trait Screening, Gene Identification, and Functional Validation for Genetic Dissection of Salt Tolerance in Cotton

open access: yesAdvanced Science, EarlyView.
An integrated phenomics–genomics framework captures dynamic salt‐stress responses in laboratory‐grown cotton seedlings through time‐series hyperspectral imaging and non‐destructive i‐trait extraction. Hierarchical screening identifies biologically relevant, heritable, and non‐redundant traits for high‐resolution GWAS, identifying GhST7.
Bowei Xu   +11 more
wiley   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

open access: yesAdvanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali   +3 more
wiley   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

open access: yesAdvanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi   +2 more
wiley   +1 more source

Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei   +9 more
wiley   +1 more source

Investigation of PDCD1 Gene Polymorphisms and Haplotypes in COVID-19 Severity and Outcome in a Brazilian Population. [PDF]

open access: yesJ Med Virol
Moretto SL   +6 more
europepmc   +1 more source

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