Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/TA.0000000000001574 | DOI Listing |
J Nucl Med
January 2025
Center for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts;
Radionuclides used for imaging and therapy can show high molecular specificity in the body with appropriate targeting ligands. We hypothesized that local energy delivered by molecularly targeted radionuclides could chemically activate prodrugs at disease sites while avoiding activation in off-target sites of toxicity. As proof of principle, we tested whether this strategy of radionuclide-induced drug engagement for release (RAiDER) could locally deliver combined radiation and chemotherapy to maximize tumor cytotoxicity while minimizing off-target exposure to activated chemotherapy.
View Article and Find Full Text PDFPhys Rev Lett
December 2024
Center for Quantum Information, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea and Division of Quantum Information Technology, KIST School, Korea University of Science and Technology, Seoul 02792, Korea.
High-dimensional multipartite entanglement plays a crucial role in quantum information science. However, existing schemes for generating such entanglement become complex and costly as the dimension of quantum units increases. In this Letter, we overcome the limitation by proposing a significantly enhanced linear optical heralded scheme that generates the d-level N-partite Greenberger-Horne-Zeilinger (GHZ) state with single-photon sources and linear operations.
View Article and Find Full Text PDFPLoS One
January 2025
School of Information and Technology, Wenzhou Business College, Wenzhou, Zhejiang, China.
Liver cancer is the sixth most frequent malignancy and the fourth major cause of deaths worldwide. The current treatments are only effective in early stages of cancer. To overcome the therapeutic challenges and exploration of immunotherapeutic options, broad spectral therapeutic vaccines could have significant impact.
View Article and Find Full Text PDFNat Commun
January 2025
Aiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, USA.
Front Neurosci
December 2024
School of Integrated Circuits, Peking University, Beijing, China.
Spiking Neural Networks (SNNs) are typically regards as the third generation of neural networks due to their inherent event-driven computing capabilities and remarkable energy efficiency. However, training an SNN that possesses fast inference speed and comparable accuracy to modern artificial neural networks (ANNs) remains a considerable challenge. In this article, a sophisticated SNN modeling algorithm incorporating a novel dynamic threshold adaptation mechanism is proposed.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!