Heterogeneity-driven phenotypic plasticity and treatment response in branched-organoid models of pancreatic ductal adenocarcinoma [0.03%]
异质性驱动的表型可塑性和分支器官模型中的治疗反应性胰腺导管腺癌
Aristeidis Papargyriou,Mulham Najajreh,David P Cook et al.
Aristeidis Papargyriou et al.
In patients with pancreatic ductal adenocarcinoma (PDAC), intratumoural and intertumoural heterogeneity increases chemoresistance and mortality rates. However, such morphological and phenotypic diversities are not typically captured by orga...
Evoking stable and precise tactile sensations via multi-electrode intracortical microstimulation of the somatosensory cortex [0.03%]
基于体感皮层多电极皮层微刺激技术的触觉感知再现研究
Charles M Greenspon,Giacomo Valle,Natalya D Shelchkova et al.
Charles M Greenspon et al.
Tactile feedback from brain-controlled bionic hands can be partially restored via intracortical microstimulation (ICMS) of the primary somatosensory cortex. In ICMS, the location of percepts depends on the electrode's location and the perce...
Simple and effective embedding model for single-cell biology built from ChatGPT [0.03%]
基于ChatGPT构建的单细胞生物学简单有效的嵌入式模型
Yiqun Chen,James Zou
Yiqun Chen
Large-scale gene-expression data are being leveraged to pretrain models that implicitly learn gene and cellular functions. However, such models require extensive data curation and training. Here we explore a much simpler alternative: levera...
Enhanced control of a brain-computer interface by tetraplegic participants via neural-network-mediated feature extraction [0.03%]
通过神经网络特征提取增强四肢瘫痪参与者的脑机接口控制能力
Benyamin Haghi,Tyson Aflalo,Spencer Kellis et al.
Benyamin Haghi et al.
To infer intent, brain-computer interfaces must extract features that accurately estimate neural activity. However, the degradation of signal quality over time hinders the use of feature-engineering techniques to recover functional informat...
A foundation model for enhancing magnetic resonance images and downstream segmentation, registration and diagnostic tasks [0.03%]
一种用于增强磁共振图像及其下游分割、配准和诊断任务的基础模型
Yue Sun,Limei Wang,Gang Li et al.
Yue Sun et al.
In structural magnetic resonance (MR) imaging, motion artefacts, low resolution, imaging noise and variability in acquisition protocols frequently degrade image quality and confound downstream analyses. Here we report a foundation model for...
In vivo affinity maturation of the CD4 domains of an HIV-1-entry inhibitor [0.03%]
人免疫缺陷病毒(HIV)-1进入抑制剂CD4结构域的体内亲和力成熟
Andi Pan,Charles C Bailey,Tianling Ou et al.
Andi Pan et al.
Human proteins repurposed as biologics for clinical use have been engineered through in vitro techniques that improve the affinity of the biologics for their ligands. However, the techniques do not select against properties, such as proteas...
Patterned gastrointestinal monolayers with bilateral access as observable models of parasite gut infection [0.03%]
具有双边通路的图案化肠道单层细胞作为可观察到的寄生虫感染模型
Moritz Hofer,Maria A Duque-Correa,Matthias P Lutolf
Moritz Hofer
Organoids for modelling the physiology and pathology of gastrointestinal tissues are constrained by a poorly accessible lumen. Here we report the development and applicability of bilaterally accessible organoid-derived patterned epithelial ...
Arrayed CRISPR libraries for the genome-wide activation, deletion and silencing of human protein-coding genes [0.03%]
适用于全基因组范围内的人类编码蛋白的激活、缺失及敲低的CRISPR文库
Jiang-An Yin,Lukas Frick,Manuel C Scheidmann et al.
Jiang-An Yin et al.
Arrayed CRISPR libraries extend the scope of gene-perturbation screens to non-selectable cell phenotypes. However, library generation requires assembling thousands of vectors expressing single-guide RNAs (sgRNAs). Here, by leveraging massiv...
A multimodal machine learning model for the stratification of breast cancer risk [0.03%]
一种用于乳腺癌风险分层的多模态机器学习模型
Xuejun Qian,Jing Pei,Chunguang Han et al.
Xuejun Qian et al.
Machine learning models for the diagnosis of breast cancer can facilitate the prediction of cancer risk and subsequent patient management among other clinical tasks. For the models to impact clinical practice, they ought to follow standard ...