Abstract:
Clinical information, molecular information and/or computer-generated morphometric information is used in a predictive model for predicting the occurrence of a medical condition. In an embodiment, a model predicts risk of prostate cancer progression in a patient, where the model is based on features including one or more (e.g., all) of preoperative PSA, dominant Gleason Grade, Gleason Score, at least one of a measurement of expression of AR in epithelial and stromal nuclei and a measurement of expression of Ki67-positive epithelial nuclei, a morphometric measurement of average edge length in the minimum spanning tree (MST) of epithelial nuclei, and a morphometric measurement of area of non-lumen associated epithelial cells relative to total tumor area. In some embodiments, the morphometric information is based on image analysis of tissue subject to multiplex immunofluorescence and may include characteristic(s) of a minimum spanning tree (MST) and/or a fractal dimension observed in the images.
Abstract:
Methods and systems for generating bremsstrahlung with enhanced photon flux in a narrow cone at forward angles utilize a thin target of a high-Z material such as gold as radiator, supported on a tube of a low-Z material such as titanium, which tube contains a circulating fluid such as water which acts as a coolant and also may absorb the incident electron beam.
Abstract:
A process to make a polyester is described wherein said polyester comprises, a) substituted or unsubstituted diacid or diester; b) substituted or unsubstituted diol; wherein said diol comprises at least about 0.5 mole percent of butanediol; and c) 0.01 weight percent to about 15 weight percent based on the total weight of the composition a reactive organic compound wherein said organic compound comprises of at least one functional group.
Abstract:
A polyarylate composition comprising: structural units derived at least one substituted or unsubstituted diacid, at least one aromatic dihydroxy compound, and an unsaturated compound. The composition possesses good optical properties, flow, stability and mechanical property. Also disclosed is a process to prepare these compositions and articles therefrom.
Abstract:
A strengthened glass article has a chemically-etched edge and a compressive stress layer formed in a surface region thereof. The compressive stress layer has a compressive stress and a depth of layer. A product of the compressive stress and depth of layer is greater than 21,000 μm-MPa. A method of making the strengthened glass article includes creating the compressive stress layer in a glass sheet, separating the glass article from the glass sheet, and chemically etching at least one edge of the glass article.
Abstract:
A strengthened glass sheet or article having an edge profile that provides improved edge strength, particularly when the strengthened glass sheet is subjected to a four point bend test, and a method of making a glass sheet having such an edge. The edge is formed by cutting or other separation methods and then ground to a predetermined profile such as a pencil or bullet profile, a bull nose profile, or the like. In some embodiments, the edge is polished and/or etched following grinding to reduce flaw size.
Abstract:
Apparatus, methods, and computer-readable media are provided for segmentation, processing (e.g., preprocessing and/or postprocessing), and/or feature extraction from tissue images such as, for example, images of nuclei and/or cytoplasm. Tissue images processed by various embodiments described herein may be generated by Hematoxylin and Eosin (H&E) staining, immunofluorescence (IF) detection, immunohistochemistry (IHC), similar and/or related staining processes, and/or other processes. Predictive features described herein may be provided for use in, for example, one or more predictive models for treating, diagnosing, and/or predicting the occurrence (e.g., recurrence) of one or more medical conditions such as, for example, cancer or other types of disease.
Abstract:
Apparatus, methods, and computer-readable media are provided for segmentation, processing (e.g., preprocessing and/or postprocessing), and/or feature extraction from tissue images such as, for example, images of nuclei and/or cytoplasm. Tissue images processed by various embodiments described herein may be generated by Hematoxylin and Eosin (H&E) staining, immunofluorescence (IF) detection, immunohistochemistry (IHC), similar and/or related staining processes, and/or other processes. Predictive features described herein may be provided for use in, for example, one or more predictive models for treating, diagnosing, and/or predicting the occurrence (e.g., recurrence) of one or more medical conditions such as, for example, cancer or other types of disease.
Abstract:
The invention relates to methods of predicting the clinical outcome of brain cancer patients based on the LOH levels of the PTEN gene and on the expression levels or the polysomy / amplification levels of EGFR gene in a sample from said patients.