Pediatrics

Parenting

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

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Optimising an FFQ Using a Machine Learning Pipeline to teach an Efficient Nutrient Intake Predictive Model.

Food frequency questionnaires (FFQs) are the most commonly selected tools in nutrition monitoring, a...

Implementation of anisotropic soft pads in a surgical gripper for secure and gentle grip on vulnerable tissues.

Current surgical grippers rely on friction grip, where normal loads (i.e. pinch forces) are translat...

Machine learning for metabolic engineering: A review.

Machine learning provides researchers a unique opportunity to make metabolic engineering more predic...

Replicating dynamic humerus motion using an industrial robot.

Transhumeral percutaneous osseointegrated prostheses provide upper-extremity amputees with increased...

Metamorphosis in Insect Muscle: Insights for Engineering Muscle-Based Actuators.

One of the major limitations to advancing the development of soft robots is the absence of lightweig...

A Method for Identifying Vesicle Transport Proteins Based on LibSVM and MRMD.

With the development of computer technology, many machine learning algorithms have been applied to t...

Statistical and Machine-Learning Analyses in Nutritional Genomics Studies.

Nutritional compounds may have an influence on different OMICs levels, including genomics, epigenomi...

The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems.

Modern agriculture and food production systems are facing increasing pressures from climate change, ...

Traceability in food processing: problems, methods, and performance evaluations-a review.

Processed food has become an indispensable part of the human food chain. It provides rich nutrition ...

A Recurrent Neural Network model to predict blood-brain barrier permeability.

The rapid development of computational methods and the increasing volume of chemical and biological ...

Using Deep Convolutional Neural Networks for Image-Based Diagnosis of Nutrient Deficiencies in Rice.

Symptoms of nutrient deficiencies in rice plants often appear on the leaves. The leaf color and shap...

Deep computational pathology in breast cancer.

Deep Learning (DL) algorithms are a set of techniques that exploit large and/or complex real-world d...

Deep learning method for localization and segmentation of abdominal CT.

Computed Tomography (CT) imaging is widely used for studying body composition, i.e., the proportion ...

A machine learning-based approach for estimating and testing associations with multivariate outcomes.

We propose a method for summarizing the strength of association between a set of variables and a mul...

Agent-oriented Decision Support System for Business Processes Management with Genetic Algorithm Optimization: an Application in Healthcare.

Agent-based approaches have been known to be appropriate as systems and methods in medical administr...

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies.

Given the powerful implications of relationship quality for health and well-being, a central mission...

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