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Stem Cell Research

Latest AI and machine learning research in stem cell research for healthcare professionals.

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Showing 1849-1869 of 5,037 articles
Tacrolimus Suppositories in Therapy-Resistant Ulcerative Proctitis.

BACKGROUND: Ulcerative proctitis may often be managed with topical salicylates or steroids alone, bu...

Combined Low Dose Rate Brachytherapy and External Beam Radiation Therapy for Intermediate-Risk Prostate Cancer.

INTRODUCTION: This is a retrospective study conducted to report the tumor control and late toxicity ...

Fully tuned RBF neural network controller for ultrasound hyperthermia cancer tumour therapy.

Thermal dose is an important clinical efficacy index for hyperthermia cancer treatment. This paper p...

The role of combination preand postoperative albendazole therapy in the surgical management of liver hydatidosis.

AIMS: ALB is the most commonly used drug for the treatment of echinococcosis. The aim of the present...

Intelligent machines, care work and the nature of practical reasoning.

BACKGROUND: The debate over the ethical implications of care robots has raised a range of concerns, ...

A Machine Learning Approach to Identify NIH-Funded Applied Prevention Research.

INTRODUCTION: To fulfill its mission, the NIH Office of Disease Prevention systematically monitors N...

The Moral Machine experiment.

With the rapid development of artificial intelligence have come concerns about how machines will mak...

Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy.

AIMS: We tested the hypothesis that a machine learning (ML) algorithm utilizing both complex echocar...

Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes.

OBJECTIVE: Metformin is the preferred first-line medication for management of type 2 diabetes and pr...

Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia.

: Early and appropriate empiric antibiotic treatment of patients suspected of having sepsis is assoc...

Using fMRI and machine learning to predict symptom improvement following cognitive behavioural therapy for psychosis.

Cognitive behavioural therapy for psychosis (CBTp) involves helping patients to understand and refra...

Predictive models for charitable giving using machine learning techniques.

Private giving represents more than three fourths of all U.S. charitable donations, about 2% of tota...

Critically Ill Recipients of Weight-Based Fluconazole Meeting Drug-Induced Liver Injury Network Criteria.

Fluconazole-associated liver injury is estimated to occur in <10% of patients; however, effect of w...

Non-surgical management of primary hyperparathyroidism.

The purpose of this chapter is to discuss the options available for patients with primary hyperparat...

The Combined Use of Transcranial Direct Current Stimulation and Robotic Therapy for the Upper Limb.

Neurologic disorders such as stroke and cerebral palsy are leading causes of long-term disability an...

Do powered over-ground lower limb robotic exoskeletons affect outcomes in the rehabilitation of people with acquired brain injury?

To assess the effects of lower limb robotic exoskeletons on outcomes in the rehabilitation of peopl...

Comparative analysis of predictive methods for early assessment of compliance with continuous positive airway pressure therapy.

BACKGROUND: Patients suffering obstructive sleep apnea are mainly treated with continuous positive a...

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