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Prescriptions

Latest AI and machine learning research in prescriptions for healthcare professionals.

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Showing 148-168 of 6,756 articles
The Role of Precision Nutrition in Kidney Disease.

Precision nutrition utilizes an individualized approach in which dietary interventions are tailored ...

[From global strategy to local consultation: A future vision of physical activity in primary care].

This article reflects on the key role that primary care must play in promoting physical activity as ...

Reinforcement Learning With LLMs Interaction For Distributed Diffusion Model Services.

Distributed Artificial Intelligence-Generated Content (AIGC) has attracted significant attention, bu...

Enhanced E-commerce decision-making through sentiment analysis using machine learning-based approaches and IoT.

E-commerce is a vital component of the world economy, providing people with a simple and convenient ...

TGEL-transformer: Fusing educational theories with deep learning for interpretable student performance prediction.

With the integration of educational technology and artificial intelligence, personalized learning ha...

Should We Use Behavioural Predictions in Organ Allocation?

Medical predictions, for example, concerning a patient's likelihood of survival, can be used to effi...

Real-time human-robot interaction and service provision using hybrid intelligent computing framework.

Human-robot interaction has gained significant attention in various domains, including healthcare, c...

Multimodal cross-system virtual reality (VR) ball throwing dataset for VR biometrics.

In this paper we present a multimodal cross-system dataset for virtual reality (VR) biometrics. The ...

In silico & in vitro approaches suggest osteoclastogenesis induction underlying fractures in Entrectinib-treated children.

Entrectinib, a potent, CNS-active, TRK and ROS1 inhibitor is associated with occurrence of bone frac...

Intra-tumor microbiome-based tumor survival indices predict immune interaction and drug sensitivity on pan-cancer scale.

UNLABELLED: Growing research evidence indicates a substantial influence of the intra-tumor microbiom...

Towards a dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention.

While static risk models may identify key driving risk factors, the dynamic nature of risk requires ...

Neural network prediction model based on Levy flight and natural biomimetic technology for its application in cancer prediction.

Precise forecasting of cancer outcomes is essential for medical professionals to assess the well-bei...

RNA-ligand interaction scoring via data perturbation and augmentation modeling.

Despite recent advances in RNA-targeting drug discovery, the development of data-driven deep learnin...

A Comprehensive Framework for the Prediction of Intra-Operative Hypotension.

In this paper, the problem of triggering early warning for intra-operative hypotension (IOH) is addr...

Personalizing Responsive Neurostimulation for Epilepsy.

Over the past 20 years, responsive neurostimulation (RNS), a closed-loop device for treating certain...

Development of the treatment prediction model in the artificial intelligence in depression - medication enhancement study.

We introduce an artificial intelligence model to personalize treatment in major depression, which wa...

Biomimetic Neural Intelligent E-Skin System for Tactile Perception and Robotic Decision-Making.

The widespread application of electronic skin (e-skin) in human-machine interaction necessitates int...

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