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DTSTART:20261014T080000Z
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LOCATION:ICFO Auditorium
SUMMARY:ICFO | JOSE JAVIER RUÍZ GONZÁLEZ
CLASS:PUBLIC
DESCRIPTION:Raman spectroscopy has gained increasing attention over the las
 t few decades due to its ability to non-destructively extract chemical inf
 ormation from samples. However\, despite advances in instrumentation\, it 
 has not yet become standard practice in the biomedical field. One of the m
 ain reasons is the difficulty in interpreting and extracting the chemical 
 information encoded in Raman signal\, so as to validate the technique usin
 g complementary\, well established techniques.Considering this\, the aim o
 f this Thesis is to develop tools and analytical pipelines that enhance th
 e biochemical interpretation of Raman spectra\, and to demonstrate its use
 fulness in two relevant biomedical research lines: breast cancer resistanc
 e to neoadjuvant treatments and the diagnosis of choroidal melanoma.\nFirs
 tly\, we developed and validated RamanBiolib\, an open-source Raman spectr
 al library accompanied by search algorithms\, aimed at providing rapid and
  objective identification of biomolecules. Secondly\, we used RamanBiolib 
 after spectral unmixing to identify and quantify cytochrome c molecule in 
 breast cancer cells resistant to neoadjuvant treatments. This revealed a s
 hift towards its reduced state to avoid apoptosis and acquire drug resista
 nce. Then we also characterized lipid droplets in triple-negative breast c
 ancer cells\, highlighting the relevance of variable importance analysis i
 n classification models. This approach allows for the biochemical interpre
 tation of their classification performance and assessing possible backgrou
 nd contributions to their accuracy. By doing so\, significant changes in l
 ipid unsaturation were detected. Furthermore\, we developed RamanTF\, a tr
 ansformer-based algorithm that automatically quantifies key biomolecules f
 rom raw spectra.\nFinally\, to study melanin-rich samples\, we defined a p
 re-processing and analysis workflow to correct instrumental interferences 
 that were observed in previous studies\, but not corrected yet. With this 
 established workflow\, key melanin properties were identified\, such as me
 lanin structural disorder or defects abundance\, which can be used as biom
 arkers to diagnose choroidal melanomas. Overall\, the tools\, discussions\
 , and results presented in this Thesis advance Raman spectroscopy towards 
 clinical application and provide a basis for its widespread adoption as a 
 routine technique in biomedical and diagnostic research.\nThesis Director:
  Prof. Dr. Pablo Loza Alvarez and Dr. M&ograve\;nica Marro S&aacute\;nchez
DTSTAMP:20260922T154337Z
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