AIMC Topic: Exercise

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Machine Learning-Driven Phenogrouping and Cardiorespiratory Fitness Response in Metastatic Breast Cancer.

JCO clinical cancer informatics
PURPOSE: The magnitude of cardiorespiratory fitness (CRF) impairment during anticancer treatment and CRF response to aerobic exercise training (AT) are highly variable. The aim of this ancillary analysis was to leverage machine learning approaches to...

Comparing Cadence vs. Machine Learning Based Physical Activity Intensity Classifications: Variations in the Associations of Physical Activity With Mortality.

Scandinavian journal of medicine & science in sports
Step cadence-based and machine-learning (ML) methods have been used to classify physical activity (PA) intensity in health-related research. This study examined the association of intensity-specific PA duration with all-cause (ACM) and CVD mortality ...

Machine Learning-Based Prediction of Hospitalization During Chemoradiotherapy With Daily Step Counts.

JAMA oncology
IMPORTANCE: Toxic effects of concurrent chemoradiotherapy (CRT) can cause treatment interruptions and hospitalizations, reducing treatment efficacy and increasing health care costs. Physical activity monitoring may enable early identification of pati...

Promoting Physical Activity Among Workers for Better Mental Health: An mHealth Intervention With Deep Learning.

Journal of UOEH
There is clear scientific evidence that physical activity helps to prevent depression and anxiety. Utilizing mobile health (mHealth) technologies to enable physical activity is promising, but the evidence of the effectiveness of mHealth interventions...

[Establishment of comprehensive evaluation models of physical fitness of the elderly based on machine learning].

Sheng li xue bao : [Acta physiologica Sinica]
The present study aims to establish comprehensive evaluation models of physical fitness of the elderly based on machine learning, and provide an important basis to monitor the elderly's physique. Through stratified sampling, the elderly aged 60 years...

ChatGPT: Transcending Language Limitations in Scientific Research Using Artificial Intelligence.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
Health and scientific researchers in non-English speaking countries such as Pakistan, are not proficient in English, which limits their ability to communicate their ideas and findings to the international scientific community. ChatGPT is a large lang...

Generative models for protein sequence modeling: recent advances and future directions.

Briefings in bioinformatics
The widespread adoption of high-throughput omics technologies has exponentially increased the amount of protein sequence data involved in many salient disease pathways and their respective therapeutics and diagnostics. Despite the availability of lar...

Total Force Fitness Standardization: Leveraging Policy and Metrics to Inform and Accelerate Implementation.

Military medicine
Total Force Fitness (TFF) metrics inform leaders at every level as they develop and evaluate policies, practices, and programs that enable soldiers, airmen, sailors, marines, guardians, and operators to achieve human performance optimization in all e...

Automated Patient-Robot Task Assignment in a Simulated Stochastic Rehabilitation Gym.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Rehabilitation after neurological injury can be provided by robots that help patients perform different exercises. Multiple such robots can be combined in a rehabilitation robot gym to allow multiple patients to perform a diverse range of exercises s...