The year 2025 marked significant advances in autologous cellular therapy for melanoma and solid tumors, building on landmark regulatory approvals in 2024. Lifileucel, the first Food and Drug Administration‐approved tumor‐infiltrating lymphocyte (TIL) therapy for advanced melanoma, demonstrated durable efficacy in the 5‐year analysis of the C‐144‐01 trial, with an objective response rate (ORR) of 31.4% and prolonged responses in a heavily pretreated population. Real world data further supported its effectiveness, with higher ORR likely reflecting earlier lines of therapy and differences in patient selection. Preferentially expressed antigen in melanoma (PRAME)‐targeted T‐cell receptor (TCR) T‐cell therapy (anzu‐cel, IMA203) showed promising activity in a phase 1 study, with ORR of approximately 50% in checkpoint inhibitor refractory melanoma, durable responses, and manageable toxicity, validating PRAME as a high value target across multiple tumor types. Next‐generation engineered TIL approaches emerged to address limitations of high‐dose IL‐2. OBX‐115, an IL‐2 independent TIL platform expressing membrane‐bound IL‐15 regulated by acetazolamide, demonstrated early clinical activity with ORR of 67% in initial phase 1 data. Additional strategies, including CRISPR‐mediated gene editing and checkpoint disruption, highlight a shift toward programmable, self‐sustaining cellular therapies. Personalized neoantigen‐based therapies advanced with early clinical validation of adoptive T‐cell platforms and mRNA vaccines, demonstrating immune activation and improved recurrence‐free survival in melanoma. Finally, afamitresgene autoleucel (afami‐cel), a MAGE‐A4 directed TCR‐T therapy, showed durable efficacy in synovial sarcoma and expanding activity across solid tumors, establishing proof of concept for TCR‐T approaches. Collectively, these advances position autologous cellular therapy as an evolving standard of care in melanoma and a promising modality across solid tumors, with ongoing efforts focused on improving accessibility, overcoming resistance, and optimizing combinatorial strategies.
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
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.