Public Health & Policy

Stem Cell Research

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

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Showing 1471-1491 of 5,037 articles
Reperfusion Therapy in Acute Ischemic Stroke with Active Cancer: A Meta-Analysis Aided by Machine Learning.

OBJECTIVES: While the prevalence of active cancer patients experiencing acute stroke is increasing, ...

Investigating heterogeneities of live mesenchymal stromal cells using AI-based label-free imaging.

Mesenchymal stromal cells (MSCs) are multipotent cells that have great potential for regenerative me...

Evaluation of a highly refined prediction model in knowledge-based volumetric modulated arc therapy planning for cervical cancer.

BACKGROUND AND PURPOSE: To explore whether a highly refined dose volume histograms (DVH) prediction ...

Host-dependent molecular factors mediating SARS-CoV-2 infection to gain clinical insights for developing effective targeted therapy.

Coronavirus disease 2019 (COVID-19), a recent viral pandemic that first began in December 2019, in H...

Radiation therapy dose prediction for left-sided breast cancers using two-dimensional and three-dimensional deep learning models.

PURPOSE: To develop a deep learning model capable of producing clinically acceptable dose distributi...

Boundaries Between Research Ethics and Ethical Research Use in Artificial Intelligence Health Research.

The governance of ethically acceptable research in higher education institutions has been under scru...

Socially Assistive Robots in Aged Care: Ethical Orientations Beyond the Care-Romantic and Technology-Deterministic Gaze.

Socially Assistive Robots (SARs) are increasingly conceived as applicable tools to be used in aged c...

Research and Practice of AI Ethics: A Case Study Approach Juxtaposing Academic Discourse with Organisational Reality.

This study investigates the ethical use of Big Data and Artificial Intelligence (AI) technologies (B...

CT based automatic clinical target volume delineation using a dense-fully connected convolution network for cervical Cancer radiation therapy.

BACKGROUND: It is very important to accurately delineate the CTV on the patient's three-dimensional ...

Toward improving functional recovery in spinal cord injury using robotics: a pilot study focusing on ankle rehabilitation.

BACKGROUND: Conventional physical therapy interventions are strongly recommended to improve ambulati...

Motor Recovery: How Rehabilitation Techniques and Technologies Can Enhance Recovery and Neuroplasticity.

There are now a large number of technological and methodological approaches to the rehabilitation of...

Ethical issues in computational pathology.

This paper explores ethical issues raised by whole slide image-based computational pathology. After ...

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The ethical discourse addresses the following aspects: What do we need ethics for? Man's disposition...

[Diagnostics and Therapy 24/7? Artificial Intelligence as a Challenge and Opportunity in Psychiatry and Psychotherapy].

OBJECTIVE: The aim of the article is to enable a fundamental understanding of the potentials and req...

Actionable Principles for Artificial Intelligence Policy: Three Pathways.

In the development of governmental policy for artificial intelligence (AI) that is informed by ethic...

Simple Python Module for Conversions Between DICOM Images and Radiation Therapy Structures, Masks, and Prediction Arrays.

Deep learning is becoming increasingly popular and available to new users, particularly in the medic...

Robot-assisted rehabilitation of hand function after stroke: Development of prediction models for reference to therapy.

BACKGROUND: Recovery of hand function after stroke represents the hardest target for clinicians. Rob...

Potential applications of deep learning in single-cell RNA sequencing analysis for cell therapy and regenerative medicine.

When used in cell therapy and regenerative medicine strategies, stem cells have potential to treat m...

Machine learning predictions of concentration-specific aggregate hazard scores of inorganic nanomaterials in embryonic zebrafish.

The possibility of employing computational approaches like nano-QSAR or nano-read-across to predict ...

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