Primary Care

Obesity

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

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Diagnostic performance of an artificial neural network to predict excess body fat in children.

BACKGROUND: Waist circumference (WC) and z scores of body mass index (BMI) are commonly used to pred...

Fish Oil Derived Omega 3 Fatty Acids Suppress Adipose NLRP3 Inflammasome Signaling in Human Obesity.

CONTEXT: The NRLP3 inflammasome is a multiprotein danger-sensing complex that serves as a critical l...

A neural network analysis of Lifeways cross-generation imputed data.

OBJECTIVES: Neural networks are a powerful statistical tool that use nonlinear regression type model...

Women in Translational Medicine: Tools to Break the Glass Ceiling.

Despite the recent movements for female equality and empowerment, few women occupy top positions in ...

Exploring the interactions between serum free fatty acids and fecal microbiota in obesity through a machine learning algorithm.

Serum free fatty acids (FFA) are generally elevated in obesity. The gut microbiota is involved in th...

Insulin resistance and adrenal incidentalomas: A bidirectional relationship.

An adrenal incidentaloma (AI) is an adrenal mass incidentally found via a radiological modality, ind...

Disease comorbidity-guided drug repositioning: a case study in schizophrenia.

UNLABELLED: The key to any computational drug repositioning is the availability of relevant data in ...

Scalable Electronic Phenotyping For Studying Patient Comorbidities.

Over 75 million Americans have multiple concurrent chronic conditions and medical decision making fo...

A reliable method for colorectal cancer prediction based on feature selection and support vector machine.

Colorectal cancer (CRC) is a common cancer responsible for approximately 600,000 deaths per year wor...

Machine learning based classification of cells into chronological stages using single-cell transcriptomics.

Age-associated deterioration of cellular physiology leads to pathological conditions. The ability to...

Multiple Human-Behaviour Indicators for Predicting Lung Cancer Mortality with Support Vector Machine.

Lung cancer is still one of the most common causes of death around the world, while there is overwhe...

Low vitamin D at ICU admission is associated with cancer, infections, acute respiratory insufficiency, and liver failure.

OBJECTIVES: Vitamin D deficiency may be associated with comorbidities and poor prognosis. However, t...

Adaptive Neural Control of a Kinematically Redundant Exoskeleton Robot Using Brain-Machine Interfaces.

In this paper, a closed-loop control has been developed for the exoskeleton robot system based on br...

Control of a Robot Arm Using Decoded Joint Angles from Electrocorticograms in Primate.

Electrocorticogram (ECoG) is a well-known recording method for the less invasive brain machine inter...

Minimally invasive, robot-assisted procedure for kidney transplantation among morbidly obese: Positive outcomes at 5 years post-transplant.

The pre-transplant weight loss required of end-stage renal disease patients is often unachievable. T...

Obesity and chronic kidney disease progression-the role of a new adipocytokine: C1q/tumour necrosis factor-related protein-1.

BACKGROUND: Obesity is a risk factor for incident chronic kidney disease (CKD) in the general popula...

Progress in the Development and Challenges for the Use of Artificial Kidneys and Wearable Dialysis Devices.

BACKGROUND: Renal transplantation is the treatment of choice for chronic kidney disease (CKD) patien...

An Increased Level of Aryl Hydrocarbon Receptor in Patients with Pancreatic Cancer.

BACKGROUND Aryl-carbon receptor (AhR), a ligand-activated transcription factor, is best known for it...

Therapeutic Enoxaparin in the Morbidly Obese Patient: A Case Report and Review of the Literature.

Enoxaparin is a low molecular weight heparin commonly used in the treatment of venous thromboembolis...

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