Latest AI and machine learning research in stem cell research for healthcare professionals.
As artificial intelligence transitions from industry-exclusive tool to public-facing technology, society faces critical decisions about its integration into socioecological systems. This paper proposes a reimagining of AI as a synthetic participant in the circular bioeconomy (CBE)-a regenerative model emphasizing cyclical flows of resources, information, and energy. Drawing on Bruno Latour's Actor...
OBJECTIVE: There are no randomized controlled trial (RCT) in the current literature comparing live, robotic, and visual animal-based therapies. This single-blind randomized controlled trial was conducted to comparatively evaluate the effectiveness of live parrot, robotic parrot, and parrot picture therapies on pain during venipuncture in adults with chronic illness. METHODS: The study included 240...
The emergence of reporting standards represents a tremendous stride toward reproducible science, but significant challenges remain. Preserving data pr...
OBJECTIVE: This systematic review maps what is known about using artificial intelligence (AI) to tailor virtual reality exposure therapy (VRET) to bet...
INTRODUCTION: Artificial intelligence (AI) is increasingly embedded in health systems, with applications spanning diagnostic imaging, clinical decisio...
The European Resuscitation Council (ERC) Congress - Resuscitation 2025 was held in Rotterdam as a fully in-person international meeting and served as ...
MOTIVATION: Deciphering gene regulatory networks (GRNs) from single-cell transcriptomics data remains a fundamental challenge in computational biology...
Understanding how individual cells respond to distinct physical microenvironments is critical for mechanobiology, cell therapy, and tissue engineering...
Music therapy (MT) is known to influence brain dynamics; however, its effects on nonlinear electroencephalogram (EEG) characteristics in clinical sett...
BACKGROUND: Stroke is a leading cause of long-term upper limb disability, severely impacting patients' independence and quality of life. Robot-assiste...
It is imperative to identify patients with prostate cancer (PCa) who will not benefit from androgen receptor signaling inhibitors and to improve their...
Efficiently predicting drug synergy is crucial for developing personalized cancer combination therapy regimens. However, existing methods primarily fo...
BACKGROUND: Bioinformatics and large-scale computational modelling have emerged as essential research fields in modern biomedical science, enabling dr...
Health care is shifting towards a digital-guided system, integrating digital diagnostics, biomarkers and therapeutics in many care pathways. However, ...
PURPOSE: This study examines how artificial intelligence (AI) innovation and ethical governance influence sustainable healthcare outcomes in Banglades...
BACKGROUND: Long COVID (postacute sequelae of SARS-CoV-2 infection) is a heterogeneous condition with persistent multisystem symptoms and substantial ...
Artificial Intelligence (AI) is transforming medicine, providing unprecedented opportunities to enhance diagnosis, prognosis, and treatment across all...
With the increasing popularity of AI, it is critical to gain an understanding of how academic research ethics are impacted. Unfortunately, in Canada, ...
BACKGROUND: The status of the axilla remains a significant prognostic factor and influences adjuvant systemic and locoregional treatment choices in ea...
Bioprinting continues to redefine the frontiers of regenerative medicine by enabling the fabrication of complex, three-dimensional tissue constructs t...