Inherited anemias represent a diverse group of genetic disorders characterized by impaired red blood cell production, increased destruction, or abnormal hemoglobin synthesis. This review provides a comprehensive overview of the contemporary clinical landscape, diagnostic workflows, and therapeutic advancements for both major and rare inherited anemias. Major hemoglobinopathies, including thalassemia and sickle cell disease (SCD), continue to impose a significant global health burden, while rare conditions such as hereditary hemolytic anemias (HHAs), congenital dyserythropoietic anemias (CDAs), and Diamond–Blackfan anemia (DBA) present unique diagnostic challenges. Recent years have seen a paradigm shift in laboratory investigations, primarily driven by the integration of next-generation sequencing (NGS) and third-generation sequencing (TGS) into clinical practice. These technologies have revolutionized the identification of causative variants, particularly in complex or multiallelic cases that elude traditional biochemical assays. Furthermore, specialized flow cytometry, such as eosin-5-maleimide (EMA) binding, remains critical for the diagnosis of red cell membrane defects. Therapeutic management is also undergoing a transformation. Beyond traditional supportive care and hematopoietic stem cell transplantation (HSCT), groundbreaking gene-editing therapies, most notably CRISPR/Cas9-mediated BCL11A enhancer editing, offer the potential for curative outcomes in beta-hemoglobinopathies. Novel pharmacological agents, such as luspatercept for thalassemia and mitapivat for pyruvate kinase deficiency, are providing targeted options to improve erythropoiesis and reduce transfusion burden. Despite these advances, challenges remain in ensuring equitable access to these high-cost interventions and addressing the diagnostic gaps in resource-limited settings.
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.