Deep learning has emerged as the technique of choice for identifying hidden patterns in cell
imaging data but is often criticized as" black box." Here, we employ a generative neural …

The article discusses about the priority areas for improving medications development for
alcohol use disorder and promoting their routine use in clinical practice. During the past 25 …

During the past decade, the number of novel technologies to interrogate biological systems
at the single‐cell level has skyrocketed. Numerous approaches for measuring the proteome …

Hepatotoxicity is a major reason for the withdrawal or discontinuation of drugs from clinical
trials. Thus, better tools are needed to filter potential hepatotoxic drugs early in drug …

Background Primary cilia frequency and length are key metrics in studies of ciliogenesis and
ciliopathies. Typically, quantitative cilia analysis is done manually, which is very time …

Genetic heterogeneity of metastatic dissemination has proven challenging to identify
exploitable markers of metastasis; this bottom-up approach has caused a stalemate …

Deep convolutional neural networks have emerged as a powerful technique to identify
hidden patterns in complex cell imaging data. However, these machine learning techniques …

The field of cell biology has seen major advances in both cellular imaging modalities and
the development of automated image analysis platforms that increase rigor, reproducibility …

Аннотация Первичная цилиарная дискинезия (ПЦД)–редкое наследственное
заболевание из группы цилиопатий, при котором нарушены структура и подвижность …