Results 81 to 90 of about 1,036,354 (257)
Intein‐based modular chimeric antigen receptor platform for specific CD19/CD20 co‐targeting
Molecular Oncology, EarlyView.CARtein is a modular CAR platform that uses split inteins to splice antigen‐recognition modules onto a universal signaling backbone, enabling precise, scarless assembly without re‐engineering signaling domains. Deployed here against CD19 and CD20 in B‐cell malignancies, the design supports flexible multi‐antigen targeting to boost T‐cell activation and
Pablo Gonzalez‐Garcia +9 more
wiley +1 more source
Graphical ModelsAdvanced quantum computers have the capability to perform practical quantum computing to address specific problems that are intractable for classical computers.
Jieyi Chen +6 more
doaj +1 more source
Molecular Oncology, EarlyView.Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz +15 more
wiley +1 more source
Graphical ModelsWith the growing popularity of personalized human content creation and sharing, there is a rising demand for advanced techniques in customized human image generation.
Ye Wang +5 more
doaj +1 more source
Molecular Oncology, EarlyView.HDAC4 is degraded by the E3 ligase FBXW7. In colorectal cancer, FBXW7 mutations prevent HDAC4 degradation, leading to oxaliplatin resistance. Forced degradation of HDAC4 using a PROTAC compound restores drug sensitivity by resetting the super‐enhancer landscape, reprogramming the epigenetic state of FBXW7‐mutated cells to resemble oxaliplatin ...
Vanessa Tolotto +13 more
wiley +1 more source
Domain-Incremental Learning Paradigm for scene understanding via Pseudo-Replay Generation
Graphical ModelsScene understanding is a computer vision task that involves grasping the pixel-level distribution of objects. Unlike most research focuses on single-scene models, we consider a more versatile proposal: domain-incremental learning for scene understanding.
Zhifeng Xie +4 more
doaj +1 more source
Molecular Oncology, EarlyView.Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
TerraCraft: City-scale generative procedural modeling with natural languages
Graphical ModelsAutomated generation of large-scale 3D scenes presents a significant challenge due to the resource-intensive training and datasets required. This is in sharp contrast to the 2D counterparts that have become readily available due to their superior speed ...
Zichen Xi +7 more
doaj +1 more source
Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells
Molecular Oncology, EarlyView.Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son +13 more
wiley +1 more source
Motion-robust multi-exposure HDR computational imaging based on gated Swin Transformer
Graphical ModelsFusing a sequence of static images captured at various exposures, has shown great potential to approach High Dynamic Range (HDR) imaging. However, in the presence of large motion, mis-alignment is almost inevitable and leads to the ghost artifacts ...
Rui Zhou, Yan Niu
doaj +1 more source