Results 231 to 240 of about 20,583 (298)

Identification of Key Microbial Signatures Associated With Breast Cancer: Machine Learning‐Based Approaches Using Gut Microbiome Data

open access: yesCancer Medicine, Volume 15, Issue 6, June 2026.
This study investigates the potential of the gut microbiome as a non‐invasive biomarker for breast cancer (BC) using a machine learning (ML) framework. Utilizing 16S rRNA gene sequencing data from the NCBI database for 962 individuals (520 BC patients and 442 healthy controls), we processed the sequences through a FastQC, QIIME2, and DADA2 pipeline ...
Md. Tanvir Ahmed   +4 more
wiley   +1 more source

Factors influencing the effectiveness of artificial intelligence-assisted decision-making in medicine: a scoping review. [PDF]

open access: yesJ Am Med Inform Assoc
Jackson NJ   +8 more
europepmc   +1 more source

Real‐time monitoring of tunnel structures using digital twin and artificial intelligence: A short overview

open access: yesDeep Underground Science and Engineering, Volume 5, Issue 2, Page 315-330, June 2026.
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi   +4 more
wiley   +1 more source

Spatiotemporal Dynamics and Evolution of Groundwater‐Dependent Ecosystems in the West Liao River Plain

open access: yesEcohydrology, Volume 19, Issue 4, June 2026.
ABSTRACT Groundwater‐dependent ecosystems (GDEs) are essential to ecological stability in semi‐arid regions, yet their identification and mechanistic interpretation remain constrained by limited long‐term observations and insufficient model interpretability.
Jueyan Jiang   +3 more
wiley   +1 more source

Artificial Intelligence in the Food Industry: Transforming Safety, Efficiency, and Sustainability From Farm to Fork

open access: yeseFood, Volume 7, Issue 3, June 2026.
This review synthesizes AI advancements in food systems, leveraging machine learning, computer vision, robotics, and IoT for 96%–100% accurate quality inspection, 30% reduced downtime, and enhanced traceability from farm to fork. It highlights transformative potential in sustainability and SDGs while addressing data, ethical, and scalability challenges
Muhammad Waqar   +9 more
wiley   +1 more source

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