Autonomous Horizons
Autonomous Horizons

Author: Greg Zacharias

Publisher: Independently Published

Published: 2019-04-05

Total Pages: 420

ISBN-13: 9781092834346

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Dr. Greg Zacharias, former Chief Scientist of the United States Air Force (2015-18), explores next steps in autonomous systems (AS) development, fielding, and training. Rapid advances in AS development and artificial intelligence (AI) research will change how we think about machines, whether they are individual vehicle platforms or networked enterprises. The payoff will be considerable, affording the US military significant protection for aviators, greater effectiveness in employment, and unlimited opportunities for novel and disruptive concepts of operations. Autonomous Horizons: The Way Forward identifies issues and makes recommendations for the Air Force to take full advantage of this transformational technology.

Identifying Clinically Relevant Transcriptional Signatures and Methylation Profiles in the Course, Treatment and Outcome of Colorectal Cancer
Identifying Clinically Relevant Transcriptional Signatures and Methylation Profiles in the Course, Treatment and Outcome of Colorectal Cancer

Author: Zora Lasabova

Publisher: Frontiers Media SA

Published: 2024-03-28

Total Pages: 156

ISBN-13: 2832546951

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Despite major efforts to stratify colorectal cancer patients, only a few prognostic and predictive biomarkers are still used in clinical practice. Inter- and intratumoral heterogeneity is one of the factors influencing strategies for biomarker identification and their implementation in clinical decisions. Recent characterization of consensus molecular subtypes has demonstrated the importance of transcriptome analysis, but the need for in-depth analysis considering other parameters has become apparent. Strategies to study and understand inter- and intratumoral heterogeneity at the tumor tissue level, focusing on gene expression, transcriptomics, and epigenetics, may improve colorectal cancer classification and lead to the identification of biomarkers of prognostic and predictive importance to complement genetics. They could lead to a better understanding of the causes of treatment failure and disease recurrence and thus to new possibilities for patient stratification. Liquid biopsy is currently an effective strategy to capture tumor heterogeneity in non-invasive monitoring of disease progression and recurrence.