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Stem Cell Research

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

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Exploring new horizons: Emerging therapeutic strategies for pediatric stroke.

Pediatric stroke presents unique challenges, and optimizing treatment strategies is essential for im...

Artificial intelligence adoption in extended HR ecosystems: enablers and barriers. An abductive case research.

Artificial intelligence (AI) has disrupted modern workplaces like never before and has induced digit...

Therapy-induced modulation of tumor vasculature and oxygenation in a murine glioblastoma model quantified by deep learning-based feature extraction.

Glioblastoma presents characteristically with an exuberant, poorly functional vasculature that cause...

Integrating ethics in AI development: a qualitative study.

BACKGROUND: While the theoretical benefits and harms of Artificial Intelligence (AI) have been widel...

Deep2Pep: A deep learning method in multi-label classification of bioactive peptide.

Functional peptides are easy to absorb and have low side effects, which has attracted increasing int...

Ethical and legal challenges of medical AI on informed consent: China as an example.

The escalating integration of Artificial Intelligence (AI) in clinical settings carries profound imp...

The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring.

The next generation of surgical robotics is poised to disrupt healthcare systems worldwide, requirin...

Hollow CoFe Nanozymes Integrated with Oncolytic Peptides Designed via Machine-Learning for Tumor Therapy.

Developing novel substances to synergize with nanozymes is a challenging yet indispensable task to e...

Advances in prosthetic technology: a perspective on ethical considerations for development and clinical translation.

Technological advancements of prostheses in recent years, such as haptic feedback, active power, and...

Cellograph: a semi-supervised approach to analyzing multi-condition single-cell RNA-sequencing data using graph neural networks.

With the growing number of single-cell datasets collected under more complex experimental conditions...

Machine Ethics in Care: Could a Moral Avatar Enhance the Autonomy of Care-Dependent Persons?

It is a common view that artificial systems could play an important role in dealing with the shortag...

Perioperative Fluid and Vasopressor Therapy in 2050: From Experimental Medicine to Personalization Through Automation.

Intravenous (IV) fluids and vasopressor agents are key components of hemodynamic management. Since t...

Quest for the ideal assessment of electrical ventricular dyssynchrony in cardiac resynchronization therapy.

This paper reviews the literature on assessing electrical dyssynchrony for patient selection in card...

Transient suppression of Wnt signaling in poor-quality buffalo oocytes improves their developmental competence.

INTRODUCTION: One of the most evolutionary conserved communication systems, the Wnt signaling pathwa...

Opportunities and challenges of traditional Chinese medicine doctors in the era of artificial intelligence.

With the exponential advancement of artificial intelligence (AI) technology, the realm of medicine i...

Bridging the Skills Gap: Evaluating an AI-Assisted Provider Platform to Support Care Providers with Empathetic Delivery of Protocolized Therapy.

Despite the high prevalence and burden of mental health conditions, there is a global shortage of me...

AI ethics on the road to responsible AI plant science and societal welfare.

The swiftness of artificial intelligence (AI) progress in plant science begets relevant ethical ques...

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