Results 221 to 230 of about 1,146,461 (431)
Integrating Surface‐Enhanced Raman Scattering (SERS) with machine learning creates a powerful platform for cancer management. This approach enhances diagnostic precision through non‐invasive molecular fingerprinting and enables real‐time therapeutic monitoring. By combining SERS with machine learning, it offers a comprehensive solution for early cancer
Heng‐Zhou He+9 more
wiley +1 more source
Radiographic evaluation of the urinary tract following urinary diversion to an ileal bladder [PDF]
James R. Jude+2 more
openalex +1 more source
ABSTRACT Gastrointestinal health is one of the fastest growing areas in the food and beverage industry, as its importance to overall health and well‐being is becoming increasingly recognized. Immunoglobulins play a key role in protecting the gastrointestinal tract, and nonbovine sources of immunoglobulins (including camel milk, which has a long history
Kirt R. Phipps+8 more
wiley +1 more source
The Bladder is Not Sterile: an Update on the Urinary Microbiome
A. Ackerman, T. Chai
semanticscholar +1 more source
TREATMENT OF INTRAPERITONEAL RUPTURE OF THE URINARY BLADDER
George Heaton
openalex +1 more source
A contribution to the innervation of the urinary bladder of the cat [PDF]
N. D. EDGE
openalex +1 more source
For patients to benefit from abdominal point‐of‐care ultrasound, the ultrasound examinator must be sufficiently trained. In this systematic review, we identified advantages and disadvantages of different training methods and approaches. We conclude that thoughtful integration of the various educational methods is crucial for stakeholders and educators.
Birkir Örn Sveinsson+5 more
wiley +1 more source
Artificial Intelligence to Determine Correct Midsagittal Plane in Dynamic Transperineal Ultrasound
We have created a model that allows determining the correct midsagittal plane captured by transperineal dynamic ultrasound, with a level of agreement with the expert examiner similar to or higher than that of a junior or senior examiner. ABSTRACT Purpose To create and validate a machine learning(ML) model that allows for identifying the correct capture
José Antonio García‐Mejido+7 more
wiley +1 more source