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Optimizing artificial intelligence in sepsis management: Opportunities in the present and looking closely to the future.

Sepsis remains a major challenge internationally for healthcare systems. Its incidence is rising due...

Combining Feature Selection Techniques and Neurofuzzy Systems for the Prediction of Total Viable Counts in Beef Fillets Using Multispectral Imaging.

In the food industry, quality and safety issues are associated with consumers' health condition. The...

Drug review process advancement and required manufacturer and contract research oraganization responses.

The United States Senate passed the "FDA Modernization Act 2.0." on September 29, 2022. Although the...

A novel efficient drug repurposing framework through drug-disease association data integration using convolutional neural networks.

Drug repurposing is an exciting field of research toward recognizing a new FDA-approved drug target ...

DNABERT-based explainable lncRNA identification in plant genome assemblies.

Long non-coding ribonucleic acids (lncRNAs) have been shown to play an important role in plant gene ...

Anti-inflammatory and antioxidative actions of tacrolimus (FK506) on human microglial HMC3 cell line.

Microglial cells are indispensable for the normal development and functioning of neurons in the cent...

Considerations on the regulation of AI systems in the financial sector by the AI Act.

The proposal for the Artificial Intelligence regulation in the EU (AI Act) is a horizontal legal ins...

Structural insights into gating mechanism and allosteric regulation of NMDA receptors.

N-methyl-d-aspartate receptors (NMDARs) belong to the ionotropic glutamate receptors (iGluRs) superf...

Artificial intelligence-based language learning: illuminating the impact on speaking skills and self-regulation in Chinese EFL context.

INTRODUCTION: This study investigated the effectiveness of artificial intelligence-based instruction...

Integrated Molecular Modeling and Machine Learning for Drug Design.

Modern therapeutic development often involves several stages that are interconnected, and multiple i...

Sliding Window-Based Machine Learning for Environmental Inspection Resource Allocation.

Environmental regulation is pivotal in mitigating environmental risks and promoting sustainable deve...

Projected Growth in FDA-Approved Artificial Intelligence Products Given Venture Capital Funding.

PURPOSE: Medical imaging accounts for 85% of digital health's venture capital funding. As funding gr...

Aggregate Formation and Antibody Stability in Infusion Bags: The Impact of Manual and Robotic Compounding of Monoclonal Antibodies.

Monoclonal antibodies (mAbs) can be damaged during the aseptic compounding process, with aggregation...

Polygenic modelling and machine learning approaches in pharmacogenomics: Importance in downstream analysis of genome-wide association study data.

Genome-wide association studies (GWAS) have identified genetic variations associated with adverse dr...

HeapMS: An Automatic Peak-Picking Pipeline for Targeted Proteomic Data Powered by 2D Heatmap Transformation and Convolutional Neural Networks.

The process of peak picking and quality assessment for multiple reaction monitoring (MRM) data deman...

Elaborating the potential of Artificial Intelligence in automated CAR-T cell manufacturing.

This paper discusses the challenges of producing CAR-T cells for cancer treatment and the potential ...

Advocating for neurodata privacy and neurotechnology regulation.

The ability to record and alter brain activity by using implantable and nonimplantable neural device...

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