Gene replacement and gene editing therapies for cardiomyopathies are in early-phase clinical trials. However, limited data exist on patient perspectives. We assessed adult familial cardiomyopathy patient perspectives towards the clinical implementation of somatic genetic therapies. Patients completed a demographic survey and semi-structured interview. A codebook was developed deductively and inductively, and thematic analysis was performed. Twenty-one participants with genetic and clinical diagnoses of either hypertrophic cardiomyopathy (17) or dilated cardiomyopathy (4) completed interviews. Participants ranged from age 38 to 80 (mean 57) and were 57% female. Four main themes influence participants’ decision-making for hypothetical pursuit of genetic therapies: (1) perceived clinical severity (2) impact on condition and familial benefit (3) treatment safety, mechanism, and delivery (4) ethical and social considerations. Those who described a severe clinical presentation expressed increased interest in genetic therapies and an increased willingness to accept risks, particularly if the therapy targeted the root cause or halted condition progression. Participants voiced uncertainties about the safety and long-term consequences of these therapies. Many believed that clinical severity should be prioritized for genetic therapies regardless of age; some felt younger individuals benefit more, avoiding lifelong treatment. Family members’ negative experiences with cardiomyopathies also influenced the decision-making process. When comparing genetic therapies to existing treatment options, genetic therapies were the most preferred treatment while ICDs were the least preferred. Around one-third of participants expressed hypothetical interest in participating in clinical trials or early adoption post-FDA approval. Ethical and social concerns included misuse of these therapies, their egalitarian distribution, and loss of beneficial genetic traits. Patients’ support for and concerns about genetic therapies for cardiomyopathies highlight the need for clear communication of benefits, risks, uncertainties, and comparison with other existing treatment options. Including patients in discussions about the ethical and social impacts of these therapies is essential.
Some claim that especially in the field of agile software development the research lags years behind of the practice. In this paper, we characterize the status and main challenges for research on agile software development, and propose a preliminary roadmap, focusing on providing more empirical research, primarily on e...
Torgeir Dingsøyr, T. Dybå, P. Abrahamsson· Agile Conference· 92 citations· ⚡7
The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· International Conference on...· 84 citations· ⚡6
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
Agile methods continue to gain popularity. In particular, the Scrum method appears to be on the verge of becoming a de-facto standard in the industry, leading the so called Agile movement. While there are success stories and recommendations, there is little scientifically valid evidence of the challenges in the adoptio...
A. Marchenko, P. Abrahamsson· Agile Conference· 59 citations· ⚡11
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.