Latest AI and machine learning research in stem cell research for healthcare professionals.
Radiation-induced acoustic (RA) imaging is a promising technique for visualizing the invisible radia...
[This retracts the article DOI: 10.1155/2022/1905437.].
Intratumoral heterogeneity and the presence of cancer stem cells are challenging issues in cancer th...
The three-dimensional (3D) bioprinting technologies are suitable for biomedical applications owing t...
Artificial intelligence (AI) will drastically change the healthcare system. Radiology is one special...
BACKGROUND: Allocation of scarce organs for transplantation is ethically challenging. Artificial int...
Engineering immune cells to treat hematological malignancies has been a major focus of research sinc...
PURPOSE: Positional errors resulting from motion are a principal challenge across all disease sites ...
The tumor immune microenvironment (TIME) plays a crucial prognostic and predictive role in solid mal...
OBJECTIVES: Implementing ethics is crucial to prevent harm and promote widespread benefits in social...
Although there is a rich history of philosophical definitions of ethics when applied to human behavi...
Emergent technologies are frequently demonized due to the fear of the unknown. The doubts and alarms...
The discourse amongst diabetes specialists and academics regarding technology and artificial intelli...
Machine learning methods for the identification of child sexual abuse materials (CSAM) have been pre...
Recent work shows that the developmental potential of progenitor cells in the HH10 chick brain chang...
The integration of large language models (LLMs) and artificial intelligence (AI) into scientific wri...
INTRODUCTION: Medical research and development (R&D) is an undoubtedly relevant activity to drive in...
An ensemble of classifiers combines several single classifiers to deliver a final prediction or clas...
Deep learning neural networks (DLNN) in Artificial intelligence (AI) have been extensively explored ...
BACKGROUND: Deep learning has shown promising results to generate MRI-based synthetic CTs and to ena...
The automatic detection of cells in microscopy image sequences is a significant task in biomedical r...