Cancer treatments have evolved over the years and have given hope to cancer patients by extending and improving their quality of life. The field is moving towards more personalized treatments with less toxicity. One of the areas that has been rapidly expanding in the recent years involves next-generation immunotherapies, including CAR-T cell therapies, TCR-T therapies, and bispecific antibodies. In the area of immunology, personalized neoantigen vaccines have also been developed and used for cancer treatment. Other therapies involve tumor microenvironment (TME) modulators, such as myeloid therapies and microbiome-based therapies. Gene editing of both immune and cancer cells has also been utilized for cancer treatment. Another type of cancer treatment involves targeted protein degradation, which has aided in designing therapeutic strategies against undruggable targets. RNA-based therapies, including siRNA, antisense oligonucleotides, and RNA-binding small molecules are also used for cancer treatment. Researchers have also taken advantage of synthetic biology approaches. Oncolytic viruses engineered to selectively infect and destroy cancer cells have been tested in several cancer types. Targeted radionuclide therapy, known as radiopharmaceuticals, is another type of cancer treatment and involves delivering radioactive isotopes directly to cancer cells. With increasing understanding of tumor metabolism changes and their importance for cancer survival, new therapies are being developed that target tumor metabolism.
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.