Comparative study of Raman spectroscopy techniques in blood plasma-based clinical diagnostics: A demonstration on Alzheimer's disease
K Kralova, M Kral, O Vrtelka, V Setnicka - Spectrochimica Acta Part A …, 2024 - Elsevier
Nowadays, there are still many diseases with limited or no reliable methods of early
diagnosis. A popular approach in clinical diagnostic research is Raman spectroscopy, as a …
diagnosis. A popular approach in clinical diagnostic research is Raman spectroscopy, as a …
Recent advancements in Raman instrumentation and capabilities for pharmaceutical and biomedical applications
N Eshbekova, A Sowndarya… - Applied Spectroscopy …, 2024 - Taylor & Francis
Raman spectroscopy (RS) is a nondestructive analytical method extensively utilized in the
field of biomedical, and pharmaceutical applications due to their high sensitivity …
field of biomedical, and pharmaceutical applications due to their high sensitivity …
Artificial Intelligence in Rhinology
NF Ayoub, JT Glicksman - Otolaryngologic Clinics of North …, 2024 - oto.theclinics.com
Rhinologic conditions remain some of the most prevalent of all disorders. Over 12% of the
US population is diagnosed with sinusitis each year, 1 and up to 60% of the world's …
US population is diagnosed with sinusitis each year, 1 and up to 60% of the world's …
[HTML][HTML] The readability and quality of web-based patient information on nasopharyngeal carcinoma: quantitative content analysis
DJY Tan, TK Ko, KS Fan - JMIR Formative Research, 2023 - formative.jmir.org
Background Nasopharyngeal carcinoma (NPC) is a rare disease that is strongly associated
with exposure to the Epstein-Barr virus and is characterized by the formation of malignant …
with exposure to the Epstein-Barr virus and is characterized by the formation of malignant …
A deep learning method for multi-task intelligent detection of oral cancer based on optical fiber Raman spectroscopy
L Li, M Yu, X Li, X Ma, L Zhu, T Zhang - Analytical Methods, 2024 - pubs.rsc.org
In the fight against oral cancer, innovative methods like Raman spectroscopy and deep
learning have become powerful tools, particularly in integral tasks encompassing tumor …
learning have become powerful tools, particularly in integral tasks encompassing tumor …