Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry
Imaging mass spectrometry (IMS) is a rapidly advancing molecular imaging modality that
can map the spatial distribution of molecules with high chemical specificity. IMS does not …
can map the spatial distribution of molecules with high chemical specificity. IMS does not …
Applications of MALDI-TOF mass spectrometry in clinical proteomics
Introduction: The development of precision medicine requires advanced technologies to
address the multifactorial disease stratification and to support personalized treatments …
address the multifactorial disease stratification and to support personalized treatments …
Critical review of surface-enhanced Raman spectroscopy applications in the pharmaceutical field
Surface-enhanced Raman spectroscopy (SERS) is a sensitive analytical tool used in the
pharmaceutical field in recent years. SERS keeps all the advantages of classical Raman …
pharmaceutical field in recent years. SERS keeps all the advantages of classical Raman …
A review on recent machine learning applications for imaging mass spectrometry studies
Imaging mass spectrometry (IMS) is a powerful analytical technique widely used in biology,
chemistry, and materials science fields that continue to expand. IMS provides a qualitative …
chemistry, and materials science fields that continue to expand. IMS provides a qualitative …
A review of pharmaceutical robot based on hyperspectral technology
X Su, Y Wang, J Mao, Y Chen, AT Yin, B Zhao… - Journal of intelligent & …, 2022 - Springer
The quality and safety of medicinal products are related to patients' lives and health.
Therefore, quality inspection takes a key role in the pharmaceutical industry. Most of the …
Therefore, quality inspection takes a key role in the pharmaceutical industry. Most of the …
Fighting falsified medicines: the analytical approach
H Rebiere, P Guinot, D Chauvey, C Brenier - Journal of pharmaceutical and …, 2017 - Elsevier
Given the harm to human health, the fight against falsified medicines has become a priority
issue that involves numerous actors. Analytical laboratories contribute by performing …
issue that involves numerous actors. Analytical laboratories contribute by performing …
Characterization of pharmaceutically relevant materials at the solid state employing chemometrics methods
NL Calvo, RM Maggio, TS Kaufman - Journal of pharmaceutical and …, 2018 - Elsevier
The understanding of materials and processes is a requirement when it comes to build
quality into pharmaceutical products. This can be achieved through the development of …
quality into pharmaceutical products. This can be achieved through the development of …
Perioperative margin detection in basal cell carcinoma using a deep learning framework: a feasibility study
Purpose Basal cell carcinoma (BCC) is the most commonly diagnosed cancer and the
number of diagnosis is growing worldwide due to increased exposure to solar radiation and …
number of diagnosis is growing worldwide due to increased exposure to solar radiation and …
Quantitative mass spectrometry imaging using multivariate curve resolution and deep learning: A case study
In the present contribution, a novel approach based on multivariate curve resolution and
deep learning (DL) is proposed for quantitative mass spectrometry imaging (MSI) as a potent …
deep learning (DL) is proposed for quantitative mass spectrometry imaging (MSI) as a potent …
Microstructural Characterization of Dry Powder Inhaler Formulations Using Orthogonal Analytical Techniques
Purpose For locally-acting dry powder inhalers (DPIs), develo** novel analytical tools that
are able to evaluate the state of aggregation may provide a better understanding of the …
are able to evaluate the state of aggregation may provide a better understanding of the …