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http://dx.doi.org/10.1080/14737167.2024.2334343 | DOI Listing |
J Nucl Med
January 2025
United Theranostics, Bethesda, Maryland.
Computational nuclear oncology for precision radiopharmaceutical therapy (RPT) is a new frontier for theranostic treatment personalization. A key strategy relies on the possibility to incorporate clinical, biomarker, image-based, and dosimetric information in theranostic digital twins (TDTs) of patients to move beyond a one-size-fits-all approach. The TDT framework enables treatment optimization by real-time monitoring of the real-world system, simulation of different treatment scenarios, and prediction of resulting treatment outcomes, as well as facilitating collaboration and knowledge sharing among health care professionals adopting a harmonized TDT.
View Article and Find Full Text PDFSci Rep
January 2025
Institute of Big Data and Artificial Intelligence, Southwest Forestry University, Kunming, China.
Front Pharmacol
December 2024
Charité - Universitätsmedizin Berlin, Institute of Clinical Pharmacology and Toxicology, Berlin, Germany.
Chief executives have been educated and trained how to handle business, to take executive decisions, and take care of financial and human resources in favor of the company they are leading. CEOs (chief executive officers) of innovative pharmaceutical businesses, among others, have only seldomly been trained to understand the immense time periods involved between decisions and their moment of impact, and the skills and languages used by their internal and external R&D (research and development) staff. R&D staff and regulators, however, have undergone full training, and are usually capable of understanding each other across their various specialties (among them compound finding, quality, safety, efficacy, efficiency, risk assessment and management).
View Article and Find Full Text PDFPLoS One
December 2024
Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang, China.
This paper investigates the impact of artificial intelligence (AI) and big data analytics on optimizing cross-border e-commerce efficiency for straw hat manufacturers in Zhejiang Province, China. It identifies market and consumer demand trends through machine learning analysis of comprehensive e-commerce data and leverages generative AI to revolutionize production and marketing processes. The integration of AI-generated content (AIGC) technology facilitates streamlined design-to-production cycles and rapid adaptation to market changes and consumer feedback.
View Article and Find Full Text PDFViruses
October 2024
Rwanda Biomedical Centre, Kigali P.O. Box 7162, Rwanda.
The Africa Centers for Disease Control and Prevention declared mpox a Public Health Emergency of Continental Security (PHECS) in Africa. African public health systems have moved to mobilize a response against a backdrop of inherent significant challenges. With this commentary, we discuss how lessons from past public health emergencies, particularly COVID-19 and Ebola outbreaks, have prepared the region for improved disease surveillance, rapid response strategies, and effective public health communication and how these lessons can be applied to the mpox response, emphasizing the importance of strong healthcare infrastructure, effective data sharing, community engagement, targeted interventions, and robust contact tracing.
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