Results 151 to 160 of about 1,007,475 (362)
Cardiac magnetic resonance imaging in the diagnosis of biventricular non-compaction in a young but failing heart [PDF]
Victor Chan, Carmen Chan, S. Cheung
openalex +1 more source
A multifunctional injectable microsphere system is fabricated via UV‐assisted microfluidic cross‐linking, integrating nanozyme‐based ROS scavenging, sustained dexamethasone release, and stem cell delivery. Upon IA injection, the microspheres adapt to joint stress, suppress inflammation, and promote cartilage regeneration, offering a minimally invasive ...
Xiaochen Feng +10 more
wiley +1 more source
Cardiac magnetic resonance imaging is the most sensitive and specific imaging method for characterizing the myocardium, monitoring disease, and risk stratifying many cardiomyopathy phenotypes.
Grace Alexander, Mahi L. Ashwath
doaj +1 more source
Magnetoelectric nanoparticles (MENPs) serve as externally controlled, MRI‐activated theranostic agents for targeted cancer therapy by inducing electric field‐based ablation in solid tumors. MENPs enable simultaneous precise tumor ablation and MRI signal modulation, allowing real‐time treatment monitoring and prediction of therapeutic outcomes with no ...
John Michael Bryant +28 more
wiley +1 more source
The MR‐DELTAnet model utilizes longitudinal MRI to predict treatment response after neoadjuvant chemoradiotherapy in locally rectal cancer patients, accurately identifying patients likely to achieve pathological complete response for personalized management.
Wuteng Cao +14 more
wiley +1 more source
Diagnostic Role of Cardiac Magnetic Resonance Imaging in Patients Presenting with Troponin Positive Acute Coronary Syndromes and Unobstructed Coronary Arteries [PDF]
Sushil Allen Luis +8 more
openalex +1 more source
Magnetic Resonance Imaging of Cardiac Contusion [PDF]
Donati, O F +6 more
openaire +3 more sources
Nanozymes Integrated Biochips Toward Smart Detection System
This review systematically outlines the integration of nanozymes, biochips, and artificial intelligence (AI) for intelligent biosensing. It details how their convergence enhances signal amplification, enables portable detection, and improves data interpretation.
Dongyu Chen +10 more
wiley +1 more source

