Digital solutions for shaping mood and behavior among individuals with mood disorders [0.03%]
用于改变情绪障碍个体的情绪和行为的数字解决方案
Amanda Victory,Allison Letkiewicz,Amy L Cochran
Amanda Victory
Mood disorders present on-going challenges to the medical field, with difficulties ranging from establishing effective treatments to understanding complexities of one's mood. One solution is the use of mobile apps and wearables for measurin...
Digital Health and Addiction [0.03%]
数字健康与成瘾
Lisa A Marsch
Lisa A Marsch
Digital technologies are rapidly changing how we understand and promote health. A robust and growing line of research has examined how digital health may enhance our understanding and treatment of addiction. This manuscript highlights innov...
Katherine Sheu,Stefanie Luecke,Alexander Hoffmann
Katherine Sheu
Innate immune sentinel cells must initiate and orchestrate appropriate immune responses for myriad pathogens. These stimulus-specific gene expression responses are mediated by combinatorial and temporal coding within a handful of immune res...
Systems biology approaches to measure and model phenotypic heterogeneity in cancer [0.03%]
用于测量和建模癌症表型异质性的系统生物学方法
Aaron S Meyer,Laura M Heiser
Aaron S Meyer
The recent wide-spread adoption of single cell profiling technologies has revealed that individual cancers are not homogenous collections of deregulated cells, but instead are comprised of multiple genetically and phenotypically distinct ce...
Microrandomized trials for promoting engagement in mobile health data collection: Adolescent/young adult oral chemotherapy adherence as an example [0.03%]
微随机试验在移动健康数据收集中促进参与：以青少年/年轻成人口服化疗依从性为例
Shuang Li,Alexandra M Psihogios,Elise R McKelvey et al.
Shuang Li et al.
Long-term engagement with mobile health (mHealth) apps can provide critical data for improving empirical models for real-time health behaviors. To learn how to improve and maintain mHealth engagement, micro-randomized trials (MRTs) can be u...
Systems immunology: Integrating multi-omics data to infer regulatory networks and hidden drivers of immunity [0.03%]
系统免疫学：整合多组学生物数据以推断调控网络和隐藏的免疫驱动因素
Jiyang Yu,Junmin Peng,Hongbo Chi
Jiyang Yu
The immune system is a highly complex and dynamic biological system. It operates through intracellular molecular networks and intercellular (cell-cell) interaction networks. Systems immunology is an emerging discipline that applies systems ...
Parameter Estimation and Uncertainty Quantification for Systems Biology Models [0.03%]
系统生物学模型的参数估计和不确定性量化
Eshan D Mitra,William S Hlavacek
Eshan D Mitra
Mathematical models can provide quantitative insights into immunoreceptor signaling, and other biological processes, but require parameterization and uncertainty quantification before reliable predictions become possible. We review currentl...
Elisabetta Cacace,George Kritikos,Athanasios Typas
Elisabetta Cacace
Chemical-genetic approaches are based on measuring the cellular outcome of combining genetic and chemical perturbations in large-numbers in tandem. In these approaches the contribution of every gene to the fitness of an organism is measured...
Aurelien Dugourd,Julio Saez-Rodriguez
Aurelien Dugourd
Omic technologies allow us to generate extensive data, including transcriptomic, proteomic, phosphoproteomic and metabolomic. These data can be used to study signal transduction, gene regulation and metabolism. In this review, we summarise ...
Modeling heterogeneous tumor growth dynamics and cell-cell interactions at single-cell and cell-population resolution [0.03%]
单细胞和细胞群体分辨率下异质性肿瘤生长动力学及细胞-细胞相互作用的建模
Leonard A Harris,Samantha Beik,Patricia M M Ozawa et al.
Leonard A Harris et al.
Cancer is a complex, dynamic disease that despite recent advances remains mostly incurable. Inter- and intratumoral heterogeneity are generally considered major drivers of therapy resistance, metastasis, and treatment failure. Recent advanc...