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Related Concept Videos

Nursing Diagnosis01:22

Nursing Diagnosis

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Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems.
The nursing diagnosis focuses on evidence-based...
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Hybridoma Technology01:31

Hybridoma Technology

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Hybridoma technology is used for the large-scale production of monoclonal antibodies. Monoclonal antibodies bind to only a single antigenic determinant or epitope. Such antibodies are used in research, diagnostics, and disease therapy. The hybridoma technology established in 1975 by Georges Köhler and Cesar Milstein was awarded the Nobel Prize in Medicine in 1984 for revolutionizing research and therapy.
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Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

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The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
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Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

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A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains...
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Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

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Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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Diabetes: Symptoms, Diagnosis, and Complications01:15

Diabetes: Symptoms, Diagnosis, and Complications

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For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...
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Preparation of Silicon Nanowire Field-effect Transistor for Chemical and Biosensing Applications
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Innovations in Biosensing Technologies for Cancer Diagnosis and Theranostics.

Arpana Purohit1, Amit Pratap Singh1, Surbhi Tomar1

  • 1Department of Pharmaceutical Sciences, Dr. Harisingh Gour Vishwavidyalaya, Sagar, M.P.-470003.

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Biosensors, advanced devices detecting cancer biomarkers, offer new strategies for early diagnosis and personalized treatment. Innovations in nanotechnology and engineering enhance their sensitivity and specificity for improved patient outcomes in oncology.

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Biosensorsbiomarkerscancernanomaterials.nanotechnologypersonalized medicineprecision oncologytheranostics

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Area of Science:

  • Biotechnology and Nanotechnology
  • Biomedical Engineering
  • Oncology

Background:

  • Cancer necessitates advanced diagnostic and monitoring tools.
  • Biosensors integrate biology, engineering, and nanotechnology for signal detection.
  • Nanotechnology advancements have significantly improved biosensor sensitivity and specificity for cancer biomarkers.

Purpose of the Study:

  • To provide a comprehensive review of biosensor technology in cancer detection and management.
  • To discuss the fundamental principles, types, and applications of biosensors in oncology.
  • To explore challenges and future perspectives in biosensor development for cancer diagnostics and theranostics.

Main Methods:

  • Review of historical development and fundamental principles of biosensors.
  • Detailed discussion of various biosensor types (electrochemical, optical, etc.).
  • Examination of biomarker integration, transdermal, and imaging-based biosensors.

Main Results:

  • Biosensors demonstrate significant potential for early cancer diagnosis.
  • Various biosensor types show promise for detecting specific cancer biomarkers.
  • Advancements in nanotechnology enhance biosensor performance for oncology applications.

Conclusions:

  • Biosensors are crucial for personalized cancer treatment and monitoring.
  • Further research is needed to address challenges like sensitivity, specificity, and clinical translation.
  • Future innovations include AI-driven biosensing and nanomaterial enhancements for personalized diagnostics.