Publications by authors named "V Motto-Ros"
Article Synopsis
- * Two predictive modeling methods, Partial Least Squares (PLS) and Convolutional Neural Networks (CNNs), are utilized to estimate concentrations of 24 elements in LIBS spectra, with CNNs demonstrating superior predictive accuracy and stability compared to PLS.
- * The study progresses through three phases, ultimately fine-tuning CNN models to focus on specific elements and yielding notable predictions for Aluminum, Silicon, Iron, and others, while exploring the effects of changing model training parameters.
Chemoradiation therapy is on the forefront of pancreatic cancer care, and there is a continued effort to improve its safety and efficacy. Liposomes are widely used to improve chemotherapy safety, and may accurately deliver high-Z element- radiocatalytic nanomaterials to cancer tissues. In this study, the interaction between X-rays and long-circulating nanoliposome formulations loaded with gold nanoclusters is explored in the context of oxaliplatin chemotherapy for desmoplastic pancreatic cancer.
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- Laser-induced breakdown spectroscopy (LIBS) imaging shows great promise in clinical analysis by enabling fast and thorough elemental analysis of biopsy tissues, even at trace levels due to its hyperspectral capabilities.
- A new method called the convex envelope approach (IFF) was developed to identify rare elements in patient tissues without prior assumptions, a task difficult for traditional analytical tools.
- The innovative data analysis process successfully detected and mapped exotic elements like tin and rhodium in biopsies, suggesting a potential reclassification of patients' lung conditions as occupational diseases, showcasing LIBS as a valuable diagnostic tool in analytical chemistry.
Analytical chemistry has never yielded such a wealth of experimental data as it does today, and this exponential trend shows no sign of abating. We continually advance the capabilities of our instruments and conceive innovative concepts, all in a concerted effort to naturally push the boundaries of our understanding regarding intricate sample matrices. Spectroscopic imaging, in the broadest sense, is certainly the field where we observe this acceleration even more pronouncedly.
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