Latest AI and machine learning research in stem cell research for healthcare professionals.
This research investigates the application of fuzzy graph theory to address critical security challenges in electromagnetic radiation therapy systems. Through comprehensive theoretical analysis and experimental validation, we introduce novel approaches leveraging fuzzy cognitive maps and fuzzy graph-based architectures for access control, intrusion detection, secure communication, and risk assessm...
Due to the low density of chondrocytes and limited ability to repair damaged extracellular matrix (ECM) in cartilage, many patients with congenital or acquired craniofacial trauma require filler graft materials to support facial structure, restore function, improve self-confidence, and regain socialization. Ultrasound has the capacity to stimulate piezoelectric materials, converting mechanical ene...
Ocular gene therapy offers a promising approach for treating various eye diseases, centered on the process of transfection, including delivery, cellul...
In the context of mass casualty incident (MCI) management, artificial intelligence (AI) represents a promising future, offering potential improvements...
Invertebrate research ethics has largely been ignored compared to the consideration of higher order animals, but more recent focus has questioned this...
Joint analysis of transcriptomic and T cell receptor (TCR) features at single-cell resolution provides a powerful approach for in-depth T cell immune ...
This paper discusses the responsible use of artificial intelligence (AI) in public health and in medicine, and questions the development of AI ethics ...
PURPOSE: Bridging radiation therapy (BRT) is effective for local control in patients with relapsed or refractory large B cell lymphoma who are undergo...
Microsatellite instability is a strong predictor of response to immune checkpoint therapy and patient outcome in colorectal cancer. Although enrichmen...
PURPOSE: Cone beam computed tomography-based online adaptive radiation therapy (ART) allows significantly smaller planning target volume margins for p...
We apply survival analysis as well as machine learning models to predict the duration of clinical trials using the largest dataset so far constructed ...
BACKGROUND: Noninvasive volumetric measurements during the first trimester of pregnancy provide unique insight into human embryonic growth and develop...
Navigating the complexities of Autism Spectrum Disorder (ASD) diagnosis and intervention requires a nuanced approach that addresses both the inherent ...
With the rising demand for liver transplantation (LT), research on acute rejection (AR) has become increasingly diverse, yet no consensus has been rea...
To evaluate the impact of beam mask implementation and data aggregation on artificial intelligence-based dose prediction accuracy in proton therapy, w...
Extracellular vesicles (EVs) are lipid-enclosed particles released from cells, containing lipids, DNA, RNA, metabolites, and cytosolic and cell surfac...
BACKGROUND: Robotic rehabilitation, which provides a high-intensity, high-frequency therapy to improve neuroplasticity, is gaining traction. However, ...
Abdominal aortic aneurysm (AAA) is a life-threatening disorder with limited therapeutic options. Neutrophil extracellular traps (NETs) are formed by a...
Deep learning techniques are increasingly utilized to analyze large-scale single-cell RNA sequencing (scRNA-seq) data, offering valuable insights from...
Research with controlled or crossover designs in animal-assisted therapy have largely used control groups receiving no treatment or treatment as usual...