Results 191 to 200 of about 3,221,112 (336)
Performance of two different artificial intelligence models in dental implant planning among four different implant planning software: a comparative study. [PDF]
Roongruangsilp P+2 more
europepmc +1 more source
In this research, a rat model of asthma was created using OVA, and polydatin served as an intervention. By inhibiting ferroautophagy mediated by NCOA4 and averting ferroptosis, polydatin has been demonstrated to reduce asthma. This work presents new ideas for investigating the mechanism of polydatin's ability to alleviate asthma, in addition to ...
Wei Li+5 more
wiley +1 more source
3D printing for advanced surgical planning in veterinary medicine-case studies, methods and future perspectives. [PDF]
de Lima RR, Carvalho LRRA.
europepmc +1 more source
Spinal Cord Abnormalities in Early Pediatric Multiple Sclerosis
ABSTRACT Spinal cord lesions and atrophy in the cervical region are common in adult multiple sclerosis (MS) and correlate with disability. Whether similar abnormalities occur in pediatric MS patients is largely unknown. Clinical and MRI evaluations were performed in 38 pediatric MS patients and 13 healthy controls (HC).
Monica Margoni+7 more
wiley +1 more source
Lightweight dynamic model for fusion of three-dimensional surface-stratum underground structures. [PDF]
Zhou C+5 more
europepmc +1 more source
CSF Biomarker‐Based Cognitive Trajectories in Parkinson's Disease‐Subjective Cognitive Decline
ABSTRACT Objective Cognitive complaints without objective cognitive impairment in Parkinson's Disease, termed Parkinson's Disease‐Subjective Cognitive Decline (PD‐SCD), have been associated with cognitive decline. However, its progression is heterogeneous, highlighting the need for improved identification of patients at greater risk for deterioration ...
Jon Rodriguez‐Antiguedad+7 more
wiley +1 more source
The digital interactive design of mirror painting under transformer based intelligent rendering methods. [PDF]
Zhang C.
europepmc +1 more source
Precision‐Optimised Post‐Stroke Prognoses
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope+4 more
wiley +1 more source