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Obesity

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

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Artificial intelligence and machine learning approaches using gene expression and variant data for personalized medicine.

Precision medicine uses genetic, environmental and lifestyle factors to more accurately diagnose and...

Information sparseness in cortical microelectrode channels while decoding movement direction using an artificial neural network.

Implanted microelectrode arrays can directly pick up electrode signals from the primary motor cortex...

Characterization of Type 2 Diabetes Using Counterfactuals and Explainable AI.

Type 2 diabetes mellitus is a metabolic disorder of glucose management, whose prevalence is increasi...

[New definition of precision nutrition: concept and implementation].

The following 10 to 15 years will be a key strategic period for China to improve national nutrition ...

[Comparison of hip offset and rotation center reconstruction between robot-assisted and manual total hip arthroplasty].

To compare the differences of hip offset and rotation center reconstruction between robot-assisted ...

Robot-Assisted Total Laparoscopic Hysterectomy in Different Classes of Obesity: A Cohort Study.

BACKGROUND AND OBJECTIVES: Robot-assisted laparoscopic hysterectomy is a safe and feasible approach ...

Vitamin D and COVID-19 - Let's Explore the Relationship!

Vitamin D plays a protective role against COVID-19. Patients with deficiency of vitamin D are more p...

A Machine Learning Understanding of Sepsis.

Sepsis is a serious cause of morbidity and mortality and yet its pathophysiology remains elusive. Re...

Heart Failure diagnosis based on deep learning techniques.

The aim of the study is to address the heart failure (HF) diagnosis with the application of deep lea...

Obesity as a Risk Factor for Accelerated Brain Ageing in First-Episode Psychosis-A Longitudinal Study.

BACKGROUND: Obesity is highly prevalent in schizophrenia, with implications for psychiatric prognosi...

Can BMI be a predictor of perioperative complications in Head and Neck cancer surgery?

<b>Introduction:</b> The effect of BMI on development of perioperative complications in ...

Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression.

Glioblastoma (GBM) is a common malignant brain tumor which often presents as a comorbidity with cent...

Minimally Invasive Hernia Repair in Robot-assisted Radical Prostatectomy.

Inguinal hernia is a recognized complication of radical prostatectomy. Previous hernia repair, wound...

[Robot-assisted single-anastomosis duodeno-ileal bypass with sleeve gastrectomy].

Single-anastomosis duodeno-ileal bypass with sleeve gastrectomy (SADI-S) is simpler and has similar ...

Robotic Radical Cystectomy Outcomes after Intervention for Prostate Cancer.

We evaluated patients who underwent treatment for prostate cancer and then subsequent robot-assiste...

[Clinical outcomes for young patients with muscular invasive bladder cancer who received robot-assisted radical cystectomy].

To evaluate the clinical features, surgical effects and factors that may affect prognosis of muscul...

[Preliminary application and efficacy analysis of transumbilical single-incision plus one port robotic total mesorectal excision].

To investigate the feasibility of transumbilical single-incision plus one port (SIPOP) robotic tota...

[Postoperative Inguinal Hernia after Robot-Assisted Radical Prostatectomy with Prevention Technique Using Spermatic Cord Isolation].

We retrospectivelyevaluated postoperative inguinal hernias (PIHs) after robot-assisted radical prost...

A machine learning system with reinforcement capacity for predicting the fate of an ART embryo.

The aim of this work was o construct a score issued from a machine learning system with self-improve...

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