Results 191 to 200 of about 180,841 (299)

Spaceflight and sport science: Physiological monitoring and countermeasures for the astronaut–athlete on Mars exploration missions

open access: yesExperimental Physiology, EarlyView.
Abstract Long‐duration spaceflight impacts essentially every system in the human body, resulting in multisystem deconditioning that might impair the health and performance of crewmembers, particularly on long‐duration exploration missions to Mars. In this review, we apply the sport science model of athlete monitoring, testing and training to astronauts;
Luke DeVirgiliis   +8 more
wiley   +1 more source

The effectiveness of aerobic exercise on pain and disability in individuals with neck pain: A systematic review and meta‐analysis

open access: yesExperimental Physiology, EarlyView.
Abstract The present review aimed to investigate the effectiveness of aerobic exercise (AE) compared to other interventions in decreasing pain intensity and reducing disability in individuals with neck pain. A systematic review (SR) of randomized controlled trials was conducted. This SR was registered in PROSPERO (CRD42021231231).
Ana lzabela Sobral de Oliveira‐Souza   +9 more
wiley   +1 more source

LoRA-based methods on Unet for transfer learning in aneurysmal subarachnoid hematoma segmentation. [PDF]

open access: yesBMC Med Imaging
Minoccheri C   +6 more
europepmc   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang   +12 more
wiley   +1 more source

Stacked Ensemble Model With Explainable AI for Early Detection of Heart Disease

open access: yesAnalytical Science Advances, Volume 7, Issue 1, June 2026.
ABSTRACT Heart disease (HD) is still one of the most common causes of death around the world. Early detection is very important, but it is often hard to do because the symptoms are not specific and the models are not very clear. We propose a two‐layer stacked ensemble that combines four base learners—Support Vector Machine, K‐Nearest Neighbors, Naïve ...
Nazmun Nahar   +8 more
wiley   +1 more source

Applications of large‐scale artificial intelligence models in bioinformatics

open access: yesQuantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Large‐scale artificial intelligence (AI) models can mine potential patterns from massive amounts of data and provide more accurate analyses. This capability has enabled its gradual application in various areas of bioinformatics. However, few reviews have comprehensively summarized the applications of different types of large‐scale AI models in
Mingjing Li   +5 more
wiley   +1 more source

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