The last decade has seen a range of health policy initiatives relating to personalised medicine. There is an emerging body of studies that demonstrates the continued importance of states in the development of personalised medicine. This paper contributes to this literature by focusing on how political discourses construct the role of states in personalised medicine. Based on a case study of the introduction of a national programme in Denmark, the analysis identifies specific discursive mechanisms in this construction. The material consists of documents from key national stakeholders, media coverage and interviews with experts at the national level. The analysis found three types of discursive mechanisms. Firstly, mechanisms can relate to problem definitions, and these were concerned with a number of salient problems of health services. Secondly, mechanisms can relate to underlying assumptions, and these were about the possibility of engineering healthcare improvement through data and by extension personalised medicine. Thirdly, mechanisms can relate to discursive effects, and here the state emerged as a highly influential governor. These mechanisms are likely to be highly relevant for other countries, but future research needs to test this. Health policy practitioners and health administrators thus need to invest effort into influencing political discourses around personalised medicines, in addition to the formulation of policies itself.
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http://dx.doi.org/10.1016/j.healthpol.2020.10.005 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Clinic for Autism and Neurodevelopmental research, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney 2050, Australia.
Proc Natl Acad Sci U S A
January 2025
Laboratory of Precision Medicine and Biopharmaceuticals, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.
Recurrent missense mutations in the human epidermal growth factor receptor 2 (HER2) have been identified across various human cancers. Among these mutations, the active S310F mutation in the HER2 extracellular domain stands out as not only oncogenic but also confers resistance to pertuzumab, an antibody drug widely used in clinical cancer therapy, by impeding its binding. In this study, we have successfully employed computational-aided rational design to undertake directed evolution of pertuzumab, resulting in the creation of an evolved pertuzumab variant named Ptz-SA.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
Institute of Data Science, National University of Singapore, 117602, Singapore.
Objectives: This study introduces Smart Imitator (SI), a 2-phase reinforcement learning (RL) solution enhancing personalized treatment policies in healthcare, addressing challenges from imperfect clinician data and complex environments.
Materials And Methods: Smart Imitator's first phase uses adversarial cooperative imitation learning with a novel sample selection schema to categorize clinician policies from optimal to nonoptimal. The second phase creates a parameterized reward function to guide the learning of superior treatment policies through RL.
Natural killer (NK) cells have proven to be safe and effective immunotherapies, associated with favorable treatment responses in chronic myeloid leukemia (CML). Augmenting NK cell function with oncological drugs could improve NK cell-based immunotherapies. Here, we used a high-throughput drug screen consisting of over 500 small-molecule compounds to systematically evaluate the effects of oncological drugs on primary NK cells against CML cells.
View Article and Find Full Text PDFACS Nano
January 2025
NOVA Medical School|Faculdade de Ciências Médicas, NMS|FCM, Universidade NOVA de Lisboa, Lisbon 1169-056, Portugal.
The "" under this Perspective underline the importance of interdisciplinary collaboration and partnerships across several disciplines, such as medical science and technology, medicine, bioengineering, and computational approaches, in bridging the gap between research, manufacturing, and clinical applications. Effective communication is key to bridging team gaps, enhancing trust, and resolving conflicts, thereby fostering teamwork and individual growth toward shared goals. Drawing from the success of the COVID-19 vaccine development, we advocate the application of similar collaborative models in other complex health areas such as nanomedicine and biomedical engineering.
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