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Stem Cell Research

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

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How to achieve trustworthy artificial intelligence for health.

Artificial intelligence holds great promise in terms of beneficial, accurate and effective preventiv...

Shaping technologies for older adults with and without dementia: Reflections on ethics and preferences.

As a result of several years of European funding, progressive introduction of assistive technologies...

Quantitative Thermal Imaging Biomarkers to Detect Acute Skin Toxicity From Breast Radiation Therapy Using Supervised Machine Learning.

PURPOSE: Radiation-induced dermatitis is a common side effect of breast radiation therapy (RT). Curr...

A fast deep learning approach for beam orientation optimization for prostate cancer treated with intensity-modulated radiation therapy.

PURPOSE: Beam orientation selection, whether manual or protocol-based, is the current clinical stand...

An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy.

In this paper, we investigate various machine learning classifiers used in our Virtual Reality (VR) ...

Robotic-assisted hand therapy for improvement of hand function in children with cerebral palsy: a case series study.

BACKGROUND: Most types of robot-assisted training (RT) have been used in Cerebral Palsy (CP) patient...

Real-Time Detection of Compensatory Patterns in Patients With Stroke to Reduce Compensation During Robotic Rehabilitation Therapy.

OBJECTIVES: Compensations are commonly employed by patients with stroke during rehabilitation withou...

A novel machine learning based approach for iPS progenitor cell identification.

Identification of induced pluripotent stem (iPS) progenitor cells, the iPS forming cells in early st...

Predicting cognitive behavioral therapy outcome in the outpatient sector based on clinical routine data: A machine learning approach.

The availability of large-scale datasets and sophisticated machine learning tools enables developing...

Polydopamine Nanoparticles for Deep Brain Ablation via Near-Infrared Irradiation.

Local resection or ablation remains an important approach to treat drug-resistant central neurologic...

Development of a robot-assisted ultrasound-guided radiation therapy (USgRT).

PURPOSE: Radiation treatment is improved by the use of image-guided workflows. This work pursues the...

Macrolide combination therapy for patients hospitalised with community-acquired pneumonia? An individualised approach supported by machine learning.

BACKGROUND: The role of macrolide/β-lactam combination therapy in community-acquired pneumonia (CAP)...

From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices.

The debate about the ethical implications of Artificial Intelligence dates from the 1960s (Samuel in...

Ethics of socially assistive robots in aged-care settings: a socio-historical contextualisation.

Different embodiments of technology permeate all layers of public and private domains in society. In...

Artificial Intelligence Steering Molecular Therapy in the Absence of Information on Target Structure and Regulation.

Protein associations are at the core of biological activity, and the drug-based disruption of dysfun...

Deep learning-based virtual noncontrast CT for volumetric modulated arc therapy planning: Comparison with a dual-energy CT-based approach.

PURPOSE: The aim of this study was to develop a deep learning (DL) method for generating virtual non...

Soft Ring-Shaped Cellu-Robots with Simultaneous Locomotion in Batches.

Untethered mini-robots can move single cells or aggregates to build complex constructs in confined s...

Latent Dirichlet Allocation in predicting clinical trial terminations.

BACKGROUND: This study used natural language processing (NLP) and machine learning (ML) techniques t...

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