Pediatrics

Parenting

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Artificial intelligence in cosmetic dermatology: An update on current trends.

The use of artificial intelligence (AI) will soon be commonplace within the field of cosmetic dermat...

Symptomatic hypercalcemia in an infant secondary to excessive consumption of almond milk as a formula alternative.

A 4-month-old previously healthy female presented with persistent nonbloody, nonbilious emesis, decr...

BDHusk: A comprehensive dataset of different husk species images as a component of cattle feed from different regions of Bangladesh.

This study presents a recently compiled dataset called "BDHusk," which encompasses a wide range of h...

Darwinian evolution has become dogma; AI can rescue what is salvageable.

Artificial Intelligence (AI), as an academic discipline, is traceable to the mid-1950s but it is cur...

Soluble natural sweetener from date palm () extract using colloidal gas aphrons generated with a food-grade non-ionic surfactant.

UNLABELLED: Date palm () is the most commonly cultivated fruit tree in the Middle East and North Afr...

Integrative deep learning framework predicts lipidomics-based investigation of preservatives on meat nutritional biomarkers and metabolic pathways.

Preservatives are added as antimicrobial agents to extend the shelf life of meat. Adding preservativ...

When Yield Prediction Does Not Yield Prediction: An Overview of the Current Challenges.

Machine Learning (ML) techniques face significant challenges when predicting advanced chemical prope...

Mn-Triggered Swing-Arm Robot Strategy Using Anemone-Like Thi@AuPd@Cu-MOFs as Signaling Probes for the Detection of T-2 Toxin.

Herein, we synthesized anemone-like copper-based metal-organic frameworks (MOFs) loaded with gold-pa...

Considerations and targeted approaches to identifying bad actors in exposure mixtures.

Variable importance is a key statistical issue in exposure mixtures, as it allows a ranking of expos...

A Vision for the Future of Astrochemistry in the Interstellar Medium by 2050.

By 2050, many, but not nearly all, unattributed astronomical spectral features will be conclusively ...

AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review.

OBJECTIVE: Human error estimating food intake is a major source of bias in nutrition research. Artif...

Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment.

Photo-based dietary assessment is becoming more feasible as artificial intelligence methods improve....

Machine Learning Approach to Comparing Fatty Acid Profiles of Common Food Products Sold on Romanian Market.

Food composition issues represent an increasing concern nowadays, in the context of diverse food com...

Serum myokines as potential biomarkers of myostatin inhibition in sport doping: a preliminary study on their baseline levels in elite athletes.

We considered in this study the possibility of developing an indirect procedure for detecting myosta...

Artificial intelligence-based analysis of time-lapse images of sphere formation and process of plate adhesion and spread of pancreatic cancer cells.

Most pancreatic cancers are pancreatic ductal adenocarcinomas (PDAC). Spherical morphology formed i...

Advancing sustainability in the food and nutrition system: a review of artificial intelligence applications.

Promoting sustainability in food and nutrition systems is essential to address the various challenge...

Education by a social robot on nutrition and catheter care in pediatric oncology patients.

PURPOSE: To improve knowledge on nutrition and catheter care in children with cancer by an education...

DBPNDNet: dual-branch networks using 3DCNN toward pulmonary nodule detection.

With the advancement of artificial intelligence, CNNs have been successfully introduced into the dis...

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