Results 1 to 10 of about 35,633,806 (386)
Science: Single-molecule identification by using minimal data. [PDF]
, 2000 James P. Smith
openalex +1 more source
The challenges of explainable AI in biomedical data science
BMC Bioinformatics, 2021 Henry Han, Xiangrong Liu
semanticscholar +1 more source
Inhibition of autophagy as a novel treatment for neurofibromatosis type 1 tumors
Molecular Oncology, EarlyView.We used synthetic lethal screens to find new approaches to treat neurofibromatosis type 1 (NF1) tumors. Inhibition of autophagy was identified as a robust method to selectively kill NF1‐deficient cells with minimal effects on healthy cells. Following assessment of a range of autophagy inhibitors, we determined that chloroquine has strong potential for ...
Megan Stevens +9 more
wiley +1 more source
Quantifying causality in data science with quasi-experiments
Nature Computational Science, 2021 Tony Liu +2 more
semanticscholar +1 more source
A comparative study of circulating tumor cell isolation and enumeration technologies in lung cancer
Molecular Oncology, EarlyView.Lung cancer cells were spiked into donor blood to evaluate the recovery rates of the following circulating tumor cell (CTC) enrichment technologies: CellMag™, EasySep™, RosetteSep™, Parsortix® PR1, and Parsortix® Prototype systems. Each method's advantages and disadvantages are described.
Volga M Saini +11 more
wiley +1 more source
Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors
Molecular Oncology, EarlyView.Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi +6 more
wiley +1 more source
Challenges of reproducible AI in biomedical data science. [PDF]
BMC Med GenomicsHan H.
europepmc +1 more source
Unraveling the metastasis‐preventing effect of miR‐200c in vitro and in vivo
Molecular Oncology, EarlyView.Advanced tumors and ineffective cancer treatments can lead to metastases in distant organs. The sole expression of microRNA 200c (miR‐200c) in breast cancer cells is shown to significantly reduce metastasis formation in xenograft mouse models. Various in vitro analyses revealed impeded migratory behavior, upon miR‐200c expression, as one prerequisite ...
Bianca Köhler +12 more
wiley +1 more source