Results 31 to 40 of about 196 (103)

Drug‐Disease Interaction and Time‐Dependent Population Pharmacokinetics of Isatuximab in Relapsed/Refractory Multiple Myeloma Patients

CPT: Pharmacometrics &Systems Pharmacology, Volume 9, Issue 11, Page 649-658, November 2020., 2020
Isatuximab, a monoclonal antibody (mAb) of immunoglobulin G (IgG) isotype, specifically targets the cluster of differentiation 38 antigen overexpressed in malignant plasma cells. Isatuximab is used to treat multiple myeloma (MM), characterized by the excessive production of abnormal “myeloma proteins” (M‐proteins) that may interact with therapeutic IgG
Jean‐Baptiste Fau, Raouf El‐Cheikh, Claire Brillac, Kimiko Koiwai, Nathalie Mace, Frank Campana, Dorothee Semiond, Laurent Nguyen   +7 more
wiley   +1 more source

A preliminary study of Liu Kang’s palette and the discovery and interpretation of hidden paint layers

Heritage Science, 2020
This paper presents an overview of the results from the ongoing study on the materials and painting technique of the pioneering Singapore artist—Liu Kang.
Damian Lizun
doaj   +1 more source

Attribution of Amazon floods to modes of climate variability: A review

Meteorological Applications, Volume 27, Issue 5, September/October 2020., 2020
This review provides an up‐to‐date depiction of what we currently know and do not know about how climate variability influences Amazon hydrology. Evidence showing the usefulness of hydroclimatic drivers for flood forecasting is weak. Further efforts are required to understand the atmospheric–oceanic processes that have led to previous individual ...
Jamie Towner, Hannah L. Cloke, Waldo Lavado, William Santini, Juan Bazo, Erin Coughlan de Perez, Elisabeth M. Stephens   +6 more
wiley   +1 more source

Raman Spectroscopy of the Works of Szymon Czechowicz (1689-1775)

Conservation Science in Cultural Heritage, 2019
The paper presents the results from Raman spectroscopy (RS) analyses of the works of Szymon Czechowicz and his workshop ‒ the most important Polish baroque painter.
Mirosław Sawczak, Ewa Doleżyńska-Sewerniak   +1 more
doaj   +1 more source

Non-Invasive Painting Pigment Classification Through Supervised Machine Learning

Applied Sciences
Accurate pigment classification is essential for the analysis and conservation of historical paintings. This study presents a non-invasive approach based on supervised machine learning for classifying pigments using image data acquired under three ...
Michal Piotr Markowski, Solongo Gansukh, Mateusz Madry, Robert Borowiec, Jaroslaw Rogoz, Boguslaw Szczupak   +5 more
doaj   +1 more source

Iron-rich food consumption, dietary diversity, and associated factors among adolescent schoolgirls in Gondar City, Northwest Ethiopia

Discover Public Health
Introduction Iron requirements increase during adolescence, especially among girls. In low- and middle-income countries, inadequate intake of iron-rich and diverse foods contributes to anemia and poor health outcomes.
Bizuye Zeru, Solomon Abebe, Lemlem Daniel, Amlaku Mulat Awoke, Simachew Animen Bante, Amanuel Tebabal Nega, Alemwork Abie Getu, Eden Asmare Kassahun, Wondu Feyisa Balcha, Fentahun Alemnew Chekole   +9 more
doaj   +1 more source

Dynamic Regulation of Level Set Parameters Using 3D Convolutional Neural Network for Liver Tumor Segmentation

Journal of Healthcare Engineering, Volume 2019, Issue 1, 2019., 2019
Segmentation of liver tumors plays an important role in the choice of therapeutic strategies for liver disease and treatment monitoring. In this paper, we generalize the process of a level set with a novel algorithm of dynamic regulation to energy functional parameters. The presented method is fully automatic once the tumor has been detected.
Zhuofu Deng, Qingzhe Guo, Zhiliang Zhu, Da Zhang   +3 more
wiley   +1 more source

Engineering antibodies with cancer‐associated binding sites

BMEMat, Volume 3, Issue 3, September 2025.
This review describes antibodies that perform direct/indirect roles in cancer treatment by binding to effective targets and discusses how antibodies kill tumors and modulate tumor microenvironment through these targets. The classification of expression systems for antibody production is summarized to guide appropriate selection based on different ...
Yinqi Tian, Yumeng Pan, Yingchun Zhang, Fangling Wang, Zejun Wang   +4 more
wiley   +1 more source

Advanced Applications for Underwater Acoustic Modeling

Advances in Acoustics and Vibration, Volume 2012, Issue 1, 2012., 2012
Changes in the ocean soundscape have been driven by anthropogenic activity (e.g., naval‐sonar systems, seismic‐exploration activity, maritime shipping and windfarm development) and by natural factors (e.g., climate change and ocean acidification). New regulatory initiatives have placed additional restrictions on uses of sound in the ocean: mitigation ...
Paul C. Etter, Jafar Saniie
wiley   +1 more source

Challenges in AI-driven multi-omics data analysis for Oncology: Addressing dimensionality, sparsity, transparency and ethical considerations

Informatics in Medicine Unlocked
Artificial intelligence, particularly deep learning, is becoming increasingly prominent in multi-omics research, especially since traditional statistical models struggle to handle the complexity and high dimensionality of such data.
Maryem Ouhmouk, Shakuntala Baichoo, Mounia Abik   +2 more
doaj   +1 more source