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Innovative Approaches in Regulatory Affairs: Leveraging Artificial Intelligence and Machine Learning for Efficient Compliance and Decision-Making.

Artificial Intelligence (AI) and AI-driven technologies are transforming industries across the board...

Hierarchical Graph Transformer With Contrastive Learning for Gene Regulatory Network Inference.

Gene regulatory networks (GRNs) are crucial for understanding gene regulation and cellular processes...

Adaptive Gait Feature Learning Using Mixed Gait Sequence.

Gait recognition has become a mainstream technology for identification, as it can recognize the iden...

Impact of glioma metabolism-related gene ALPK1 on tumor immune heterogeneity and the regulation of the TGF-β pathway.

BACKGROUND: Recent years have seen persistently poor prognoses for glioma patients. Therefore, explo...

Countering AI-powered disinformation through national regulation: learning from the case of Ukraine.

Advances in the use of AI have led to the emergence of a greater variety of forms disinformation can...

Plant and marine-derived natural products: sustainable pathways for future drug discovery and therapeutic development.

Plant- and marine-derived natural products are rich sources of bioactive compounds essential for dru...

A deep learning approach to perform defect classification of freeze-dried product.

Cosmetic inspection of freeze-dried products is an important part of the post-manufacturing quality ...

A deep multiple instance learning framework improves microsatellite instability detection from tumor next generation sequencing.

Microsatellite instability (MSI) is a critical phenotype of cancer genomes and an FDA-recognized bio...

The Utilization of Natural Language Processing for Analyzing Social Media Data in Nursing Research: A Scoping Review.

This scoping review aimed to identify and synthesize the evidence in existing nursing studies that ...

Explainable AI improves task performance in human-AI collaboration.

Artificial intelligence (AI) provides considerable opportunities to assist human work. However, one ...

Methodology for Safe and Secure AI in Diabetes Management.

The use of artificial intelligence (AI) in diabetes management is emerging as a promising solution t...

Progress, Pitfalls, and Impact of AI-Driven Clinical Trials.

Since the deep learning revolution of the early 2010s, significant efforts and billions of dollars h...

FDA-reviewed artificial intelligence-enabled products applicable to emergency medicine.

OBJECTIVE: To identify and assess artificial intelligence (AI)-enabled products reviewed by the U.S....

Machine Vision with a CMOS-Based Hyperspectral Imaging Sensor Enables Sensing Meat Freshness.

Imaging spectral information of materials and analysis of its properties have become an intriguing t...

Automated treatment planning with deep reinforcement learning for head-and-neck (HN) cancer intensity modulated radiation therapy (IMRT).

To develop a deep reinforcement learning (DRL) agent to self-interact with the treatment planning sy...

Single-Cell Sequencing and Machine Learning Integration to Identify Candidate Biomarkers in Psoriasis: .

BACKGROUND: Psoriasis represents a persistent, immune-driven inflammatory condition affecting the sk...

Advancing Regulatory Genomics With Machine Learning.

In recent years, several machine learning (ML) approaches have been proposed to predict gene express...

Mapping two decades of research in rheumatology-specific journals: a topic modeling analysis with BERTopic.

BACKGROUND: Rheumatology has experienced notable changes in the last decades. New drugs, including b...

Detection and location of EEG events using deep learning visual inspection.

The electroencephalogram (EEG) is a major diagnostic tool that provides detailed insight into the el...

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