Quantitative systems pharmacology and the personalized drug-microbiota-diet axis [0.03%]
定量系统药理学和个性化药物-微生物群-饮食轴
Ines Thiele,Catherine M Clancy,Almut Heinken et al.
Ines Thiele et al.
Precision medicine is an emerging paradigm that aims at maximizing the benefits and minimizing the adverse effects of drugs. Realistic mechanistic models are needed to understand and limit heterogeneity in drug responses. While pharmacokine...
Real-time, personalized medicine through wearable sensors and dynamic predictive modeling: a new paradigm for clinical medicine [0.03%]
通过可穿戴传感器和动态预测建模实现实时个性化医疗：临床医学的新范式
Jonathan Tyler,Sung Won Choi,Muneesh Tewari
Jonathan Tyler
Accurately predicting the onset and course of a disease in an individual is a major unmet challenge in medicine due to the complex and dynamic nature of disease progression. Continuous data from wearable technologies and biomarker data with...
Studying immune to non-immune cell cross-talk using single-cell technologies [0.03%]
利用单细胞技术研究免疫细胞与非免疫细胞的相互作用
R Elmentaite,S A Teichmann,E Madissoon
R Elmentaite
Single-cell RNA-sequencing has uncovered immune heterogeneity, including novel cell types, states and lineages that have expanded our understanding of the immune system as a whole. More recently, studies involving both immune and non-immune...
Herwig Stibor,Maria Stockenreiter,Jens Christian Nejstgaard et al.
Herwig Stibor et al.
Ecological studies need experimentation to test concepts and to disentangle causality in community dynamics. While simple models have given substantial insights into population and community dynamics, recent ecological concepts become incre...
Sanne Remmelzwaal,Mike Boxem
Sanne Remmelzwaal
The systematic identification of all protein-protein interactions that take place in an organism (the 'interactome') is an important goal in modern biology. The nematode Caenorhabditis elegans was one of the first multicellular models for w...
Discrete dynamic network modeling of oncogenic signaling: Mechanistic insights for personalized treatment of cancer [0.03%]
致癌信号的离散动态网络建模：癌症个性化治疗的机制研究
Jorge G T Zañudo,Steven N Steinway,Réka Albert
Jorge G T Zañudo
Targeted drugs disrupting proteins that are dysregulated in cancer have emerged as promising treatments because of their specificity to cancer cell aberrations and thus their improved side effect profile. However, their success remains limi...
Bas Teusink,Douwe Molenaar
Bas Teusink
Lactic acid bacteria (LAB) ferment plants, fish, meats and milk and turn them into tasty food products with increased shelf life; other LAB help digesting food and create a healthy environment in the intestine. The economic and societal imp...
Designing and interpreting 'multi-omic' experiments that may change our understanding of biology [0.03%]
可能改变我们对生物学理解的‘多组学’实验的设计与解读
Robert Haas,Aleksej Zelezniak,Jacopo Iacovacci et al.
Robert Haas et al.
Most biological mechanisms involve more than one type of biomolecule, and hence operate not solely at the level of either genome, transcriptome, proteome, metabolome or ionome. Datasets resulting from single-omic analysis are rapidly increa...
Unlocking the potential of plant phenotyping data through integration and data-driven approaches [0.03%]
通过整合和数据驱动的方法解锁植物表型数据分析的潜力
Frederik Coppens,Nathalie Wuyts,Dirk Inzé et al.
Frederik Coppens et al.
Plant phenotyping has emerged as a comprehensive field of research as the result of significant advancements in the application of imaging sensors for high-throughput data collection. The flip side is the risk of drowning in the massive amo...
Peter K Koo,Matt Ploenzke
Peter K Koo
Deep learning is a powerful tool for predicting transcription factor binding sites from DNA sequence. Despite their high predictive accuracy, there are no guarantees that a high-performing deep learning model will learn causal sequence-func...