Biomarker identification of triple negative breast cancer subtypes using machine learning [0.03%]
利用机器学习鉴定三阴性乳腺癌亚型的生物标志物
Syed Mohammad,Vaisali Chandrasekar,Ajay Vikram Singh et al.
Syed Mohammad et al.
Triple Negative Breast Cancer is a clinically aggressive and molecularly heterogeneous subtype of breast cancer that currently lacks effective targeted therapies. Recognising biologically distinct subtypes within this disease is crucial for...
Context-aware multi-property antibody predictor: a novel framework integrating text and protein language models [0.03%]
上下文感知多属性抗体预测器：一种集成文本和蛋白质语言模型的新框架
Luca Giancardo,Melih Yilmaz,Edward Lee et al.
Luca Giancardo et al.
Recent advances in Machine Learning have transformed antibody development through in silico models, accelerating therapeutic candidate identification. However, challenges persist: rapid adaptation of property predictors to laboratory-specif...
Liver progenitor cells perform wound healing in a scratch assay by concerted bistable circuits [0.03%]
由协同双稳电路驱动的肝祖细胞在划痕实验中修复损伤
Marija Lazovska,Kristine Salmina,Dace Pjanova et al.
Marija Lazovska et al.
Liver progenitor cells (LPC) exhibit the potential to differentiate into both hepatocytes and cholangiocytes, making them promising candidates for cell therapy in cases of severe liver pathology. However, the mechanisms of LPCs regeneration...
The complexome contextualizes proteomics data to fingerprint biological states and highlight perturbed functional modules in disease [0.03%]
复杂体对蛋白质组数据进行上下文设定以表征生物状态并突出疾病中的功能模块异常
Mainak Guharoy,Isabelle Adant,Matthew Bird et al.
Mainak Guharoy et al.
Analyzing single omics and integrating multimodal omics datasets to capture functional dysregulation in disease remains challenging. Here, we propose a bioinformatics framework that leverages curated datasets of protein complexes ('complexo...
Creating an engine of scientific discovery, an Indo-Japan perspective: learnings from IJNTC 2025 workshop [0.03%]
创造一个科学发现引擎的印度-日本视角：IJNTC 2025研讨会的经验教训
Sucheendra K Palaniappan,Moreno Zolfo,Satish Kottapalli et al.
Sucheendra K Palaniappan et al.
The Nobel Turing Challenge (NTC) proposes AI systems capable of autonomous, Nobel-level scientific discovery. The IJNTC2025 workshop convened researchers from India and Japan to advance this goal in health and biomedicine. This perspective ...
When normalization induces correlation: shared and unstable references can create hidden dependencies [0.03%]
归一化引发相关性：共享引用和不稳定引用会产生隐藏依赖关系
Kiyoshi F Fukutani,Thomas H Hampton,Mattheus Luís Alves Santiago et al.
Kiyoshi F Fukutani et al.
Correlation analyses are widely used to infer biological relationships, yet preprocessing can introduce structural dependencies that inflate correlation estimates. Here, we examine an under-recognized mechanism: shared-reference transformat...
Modeling epithelial deformation and cell rearrangement in response to external forces during Zebrafish epiboly [0.03%]
关于斑马鱼胚盘扩展过程中上皮变形和细胞重新排列的力学模型研究
Sharon B Minsuk,T J Sego,David M Umulis et al.
Sharon B Minsuk et al.
Morphogenesis in early development involves complex and extreme deformations in response to intra- and intercellular forces. Zebrafish epiboly, the spreading of the blastoderm to cover and engulf the large yolk cell, is a key early event th...
Connor McShaffrey,Eran Agmon,Randall D Beer
Connor McShaffrey
Many cell models deal with constraints for life's persistence, yet we lack principles for how dynamics interact with them and their origins in actual biology. Computational biology needs a theory of viability that confronts the life-death b...
Succession-diagram-based Markov chains reveal the attractor landscape of asynchronous Boolean networks [0.03%]
基于继任图的马尔可夫链揭示了异步布尔网络的吸引子景观
Kyu Hyong Park,Réka Albert
Kyu Hyong Park
Comprehensive analysis of the dynamics of Boolean models of biological systems is hampered by the exponentially large state space. Here we introduce the succession-diagram-based Markov chain (SD Markov chain), a coarse-grained representatio...
AI-enhanced approaches for personalized cardiac treatment: insights from ECG data [0.03%]
基于心电图数据的个性化心脏病治疗的AI增强方法初探
Vibha Tiwari,Rohit Gupta,Akshada Telang et al.
Vibha Tiwari et al.
The analysis of drug-induced alterations in the electrocardiogram (ECG) is essential in measuring cardiac safety, but manual analysis is not always accurate enough to identify subtle but important effects. This paper examines how machine le...