According to National Health System the term “diagnosis” is defined as “The process of identifying a disease, condition, or injury from its signs and symptoms. A health history, physical exam, and tests, such as blood tests, imaging tests, and biopsies, may be used to help make a diagnosis.” Whilst the history of the “medical diagnosis” began in the historical times of the Greek physician Hippocrates and the Egyptian physician and architect Imhotep. the definition is still far from perfect despite the enormous armamentarium and information made available by medical research. The multifarious, non-linear and complex nature underlying human cancer has led many researchers to discover novel molecular biomarkers, along with new histological and imaging techniques to aid in an earlier diagnosis. It is evident that science and technology represent vast categories which are highly interdependent but distinct. Science contributes to technology in a multitude of ways:
a) new knowledge which serves as a direct source of ideas for new technological possibilities;
b) providing a source of tools and techniques for more efficient engineering design and a knowledge base for the evaluation of feasibility in designs;
c) research instrumentation, laboratory techniques and analytical methods used in research that eventually find their way into design or industrial practices, often through intermediate disciplines; and
d) developing a knowledge base that enables more efficient strategies of applied research, development, and refinement of new technologies.
Conversely, technology in science provides a source of novel scientific questions and thereby helps in justifying the categorization of resources needed to address these questions in an efficient and timely manner.
This Research Topic aims to attract original investigations and reviews focusing on innovative approaches, technological devices, scientific strategies and/or new biomarkers capable of improving the process of early diagnosis of cancer, one of the most complex human diseases. Approaching human cancer and addressing the complexity in both time and space it is likely to reveal more about its initiation and progression, and this manner of thinking may help to clarify concepts, interpret experimental data, indicate specific experiments and categorize the rich body of knowledge on the basis of the similarities and/or shared behaviors of very different tumors.
In this Research Topic, we welcome authors to submit Original Research and Review articles contributing to better understand new and advanced diagnostic approaches in the light of human complexity.
Potential topics can include, but are not limited to:
• Advanced biological approaches to human diseases;
• New innovative biomarkers;
• Advanced technologies in medical sciences;
• Artificial intelligence in oncological diagnostics;
• Multi-omics in human cancer;
• Electronic noses in cancer diagnostics;
• Olfaction as super-sensitive scanners of human cancer;
• Imaging and super resolution microscopy in cancer diagnostics;
• Philosophy of science.
Important Note: Manuscripts consisting solely of bioinformatics, computational analysis, or predictions of public databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) will not be accepted in any of the sections of Frontiers in Oncology.
According to National Health System the term “diagnosis” is defined as “The process of identifying a disease, condition, or injury from its signs and symptoms. A health history, physical exam, and tests, such as blood tests, imaging tests, and biopsies, may be used to help make a diagnosis.” Whilst the history of the “medical diagnosis” began in the historical times of the Greek physician Hippocrates and the Egyptian physician and architect Imhotep. the definition is still far from perfect despite the enormous armamentarium and information made available by medical research. The multifarious, non-linear and complex nature underlying human cancer has led many researchers to discover novel molecular biomarkers, along with new histological and imaging techniques to aid in an earlier diagnosis. It is evident that science and technology represent vast categories which are highly interdependent but distinct. Science contributes to technology in a multitude of ways:
a) new knowledge which serves as a direct source of ideas for new technological possibilities;
b) providing a source of tools and techniques for more efficient engineering design and a knowledge base for the evaluation of feasibility in designs;
c) research instrumentation, laboratory techniques and analytical methods used in research that eventually find their way into design or industrial practices, often through intermediate disciplines; and
d) developing a knowledge base that enables more efficient strategies of applied research, development, and refinement of new technologies.
Conversely, technology in science provides a source of novel scientific questions and thereby helps in justifying the categorization of resources needed to address these questions in an efficient and timely manner.
This Research Topic aims to attract original investigations and reviews focusing on innovative approaches, technological devices, scientific strategies and/or new biomarkers capable of improving the process of early diagnosis of cancer, one of the most complex human diseases. Approaching human cancer and addressing the complexity in both time and space it is likely to reveal more about its initiation and progression, and this manner of thinking may help to clarify concepts, interpret experimental data, indicate specific experiments and categorize the rich body of knowledge on the basis of the similarities and/or shared behaviors of very different tumors.
In this Research Topic, we welcome authors to submit Original Research and Review articles contributing to better understand new and advanced diagnostic approaches in the light of human complexity.
Potential topics can include, but are not limited to:
• Advanced biological approaches to human diseases;
• New innovative biomarkers;
• Advanced technologies in medical sciences;
• Artificial intelligence in oncological diagnostics;
• Multi-omics in human cancer;
• Electronic noses in cancer diagnostics;
• Olfaction as super-sensitive scanners of human cancer;
• Imaging and super resolution microscopy in cancer diagnostics;
• Philosophy of science.
Important Note: Manuscripts consisting solely of bioinformatics, computational analysis, or predictions of public databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) will not be accepted in any of the sections of Frontiers in Oncology.
