Sentence examples for methodologies in biomedical from inspiring English sources
Concurrent and early application of DFM, DFMA, FEA, and DFE methodologies in biomedical products can yield significant benefits to companies involved in the design and development of products such as orthotics.
The MRRC is now an interdepartmental and interdisciplinary research laboratory that provides state-of-the-art MR equipment, infrastructure, and expertise for the development and application of MRI and MRS methodology in biomedical research.
The MRRC is an interdepartmental and interdisciplinary research laboratory that provides state-of-the-art MR equipment, infrastructure, and expertise for the development and application of MRI and MRS methodology in biomedical research.
Protein adsorption tests were conducted to consider the potential of the proposed methodology in biomedical applications and to compare the influence of the two different surface patterns on the initial state of ossointegration.
OCT is a non-invasive cross-sectional imaging methodology used in biomedical applications.
This two-day intensive training will provide a broad introduction to machine learning methodology with applications in biomedical research.
Idan's long-term goals involve a research position in either academia or industry to continue his research efforts in advancing methodologies and clinical applications in biomedical optics and ultrasound.
Detection of EMG signals with powerful and advance methodologies is becoming a very important requirement in biomedical engineering.
Therefore, detection of FECG signals with powerful and advance methodologies is becoming a very important requirement in biomedical engineering for the interest in FECG signal analysis in clinical diagnosis and biomedical applications.
The Materials and Methods section describes the methodology for a pilot project that we performed on alternations in biomedical verbs, and then describes a much more extensive experiment involving nominalizations.
My clinical background in oncology and PhD training in Biomedical Informatics position me to develop and apply data science methodologies on heterogeneous, multi-scale cancer to extract actionable knowledge that can improve outcomes in cancer.
