Results 181 to 190 of about 3,509,714 (267)
Assessing the Chemical Intelligence of Large Language Models. [PDF]
Runcie NT, Deane CM, Imrie F.
europepmc +1 more source
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
Molecular Dynamics Simulation of Silicone Oil: Degradation upon Oscillatory Testing. [PDF]
Puhlmann P, Zahn D.
europepmc +1 more source
Strength through diversity: how cancers thrive when clones cooperate
Intratumor heterogeneity can offer direct benefits to the tumor through cooperation between different clones. In this review, Kuiken et al. discuss existing evidence for clonal cooperativity to identify overarching principles, and highlight how novel technological developments could address remaining open questions.
Marije C. Kuiken +3 more
wiley +1 more source
Predicting Sweetness Intensity and Uncovering Quantitative Interactions of Mixed Sweeteners: A Machine Learning Approach. [PDF]
Du T, He G, Hou X, Shi P, Zhou Z, Mao J.
europepmc +1 more source
We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto +8 more
wiley +1 more source
Interpretable machine learning-driven QSAR modeling for coagulation factor X inhibitors: from molecular descriptors to predictive potency. [PDF]
Kaya AO.
europepmc +1 more source

