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Psychodynamic Perspectives on Personality01:27

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The psychodynamic perspective in psychology asserts that most personality functions operate unconsciously, outside of awareness. This means that the motives and emotions driving behavior often remain hidden, automatically buried in the unconscious mind as a defense mechanism to shield us from psychological distress. According to this theory, the unconscious mind contains thoughts, memories, and emotions that are too disturbing to face directly.
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Culture of Bladder Cancer Organoids as Precision Medicine Tools
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Radiogenomics for Precision Medicine With a Big Data Analytics Perspective.

Andreas S Panayides, Marios S Pattichis, Stephanos Leandrou

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    Precision medicine advances healthcare by tailoring treatments to individual patient needs using big data. This review explores challenges in radiomics and radiogenomics for cancer and Alzheimer's disease, emphasizing data analytics and standardization.

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    Area of Science:

    • * Medical Informatics and Bioinformatics
    • * Genomics and Personalized Medicine

    Background:

    • * Precision medicine aims to enhance healthcare through evidence-based patient stratification for improved prognosis, diagnosis, and treatment.
    • * Leveraging big healthcare data is crucial for advancing precision medicine, requiring interdisciplinary collaboration.

    Purpose of the Study:

    • * To provide an overview of the state-of-the-art research in precision medicine.
    • * To highlight challenges in radiomics and radiogenomics using cancer and Alzheimer's disease case studies.
    • * To discuss big data analytics, standardization, and open data initiatives for precision medicine adoption.

    Main Methods:

    • * Review of current research in precision medicine, focusing on radiomics and radiogenomics.
    • * Analysis of case studies in Cancer and Alzheimer's disease.
    • * Examination of computational and data-related challenges, including big data analytics and standardization.

    Main Results:

    • * Identified key challenges in integrating radiomics and radiogenomics into clinical practice.
    • * Highlighted the computational demands of big data analytics in precision medicine.
    • * Emphasized the need for standardization and open data sharing.

    Conclusions:

    • * Precision medicine holds significant potential for transforming healthcare delivery.
    • * Overcoming challenges in data analysis, standardization, and interdisciplinary collaboration is essential for its widespread adoption.
    • * Radiomics and radiogenomics are promising fields requiring further research and development.