Results 151 to 160 of about 6,451,122 (364)
Imaging and CSF Studies in the Preclinical Diagnosis of Alzheimer's Disease [PDF]
Mony J. de Leon+14 more
openalex +1 more source
Current and Future Cornea Chip Models for Advancing Ophthalmic Research and Therapeutics
This review analyzes cornea chip technology as an innovative solution to corneal blindness and tissue scarcity. The examination encompasses recent developments in biomaterial design and fabrication methods replicating corneal architecture, highlighting applications in drug screening and disease modeling while addressing key challenges in mimicking ...
Minju Kim+3 more
wiley +1 more source
Non-invasive cell tracking is a powerful method to visualize cells in vivo under physiological and pathophysiological conditions. Here Thunemann et al. generate a mouse model for in vivo tracking and quantification of specific cell types by combining a ...
Martin Thunemann+19 more
doaj +1 more source
Ultrasound Imaging of Apoptosis in Tumor Response: Novel Preclinical Monitoring of Photodynamic Therapy Effects [PDF]
Behzad Banihashemi+5 more
openalex +1 more source
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi+4 more
wiley +1 more source
On the use of preclinical imaging to explore the principles of brain function in rodent models and their relevance for illnesses of the human mind. [PDF]
Zerbi V.
europepmc +1 more source
Preclinical Development of a Neutral, Estrogen Receptor–Targeted, Tridentate99mTc(I)-Estradiol-Pyridin-2-yl Hydrazine Derivative for Imaging of Breast and Endometrial Cancers [PDF]
Tapan K. Nayak+7 more
openalex +1 more source
Synthetic cells (SCs) hold great promise for biomedical applications, but manual production limits scalability. This study presents an automated method for large‐scale SC synthesis, integrating robotic liquid handling and machine learning‐driven high‐throughput characterization.
Noga Sharf‐Pauker+7 more
wiley +1 more source
SST-DUNet: Automated preclinical functional MRI skull stripping using Smart Swin Transformer and Dense UNet [PDF]
Skull stripping is a common preprocessing step that is often performed manually in Magnetic Resonance Imaging (MRI) pipelines, including functional MRI (fMRI). This manual process is time-consuming and operator dependent. Automating this process is challenging for preclinical data due to variations in brain geometry, resolution, and tissue contrast ...
arxiv