Curr Treat Options Oncol
January 2025
According to the guidelines, the primary treatment for multiple myeloma is still based on drugs such as carfilzomib, lenalidomide, or daratumumab. However, patients with relapsed/refractory multiple myeloma (RRMM) may be insensitive or develop resistance to the above therapeutic medications. Thus, formulating standardized and rational treatment regimens for such patients remains an area for consideration.
View Article and Find Full Text PDFThis study compares the safety profiles of two Bruton's tyrosine kinase (BTK) inhibitors, Ibrutinib and Zanubrutinib, in patients with chronic lymphocytic leukemia (CLL). While Ibrutinib has transformed CLL treatment, it is associated with significant adverse events (AEs). Zanubrutinib, a second-generation BTK inhibitor, offers potential for improved safety.
View Article and Find Full Text PDFEnvironmental factors are linked to aging and age-related diseases. Emerging evidence suggests that enhancing body's resistance to xenobiotics might be an anti-aging strategy. The constitutive androstane receptor (CAR) regulates drug-metabolizing enzymes and transporters, coordinating metabolism and immune responses to adapt to stress triggered by exogenous exposure.
View Article and Find Full Text PDFPoly(ethylene oxide) (PEO)-based solid composite electrolytes suffer from poor conductivity and lithium dendrite growth, especially toward the metallic lithium metal anode. In this study, succinonitrile (SN) is incorporated into a PEO composite electrolyte to fabricate an electrode-compatible electrolyte with good electrochemical performance. The SN-doped electrolyte successfully inhibits the lithium dendrite growth and facilitates the SEI layer formation, as determined by the operando nanofocus wide-angle X-ray scattering (nWAXS), meanwhile, stably cycled over 500 h in Li/SN-PEO/Li cell.
View Article and Find Full Text PDFAs the age of the Internet of Things (IoTs) unfolds, along with the rapid advancement of artificial intelligence (AI), traditional von Neumann-based computing systems encounter significant challenges in handling vast amounts of data storage and processing. Bioinspired neuromorphic computing strategies offer a promising solution, characterized by features of in-memory computing, massively parallel processing, and event-driven operations. Compared to traditional rigid silicon-based devices, flexible neuromorphic devices are lightweight, thin, and highly stretchable, garnering considerable attention.
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