Epistemological Frameworks of Biomedicine

How Science Understands the Human Being

Explore the Research

Why It Matters How Medicine Views the Human Being

Biomedicine today is not just a field of knowledge about diseases and treatments. It is a complex system of ideas about what constitutes the human as a subject and how we acquire knowledge about health and disease.

Epistemological frameworks are essentially the "rules of the game" in science: which methods are considered reliable, what counts as evidence, how explanations are constructed for various phenomena. These frameworks directly influence how doctors diagnose diseases, how new drugs are developed, and even how we perceive our own bodies.

Scientific Foundations

Modern biomedical research is based on ideas rooted in philosophy

Limits & Possibilities

Understanding these roots helps see the boundaries and capabilities of modern medicine

Key Concepts: Foucault, Epistemes, and Sociotechnical Imaginaries

Michel Foucault's Influence

The French philosopher Michel Foucault significantly influenced contemporary understanding of biomedicine. He introduced the concept of "episteme"—a historically developed system of knowledge that determines what can be recognized as truth in a particular era1 .

Foucault showed how biomedicine involves the "construction of the subject"—how medical practices and discourses shape the perception of the human as an object of management and study1 .

Sociotechnical Imaginaries

An important concept influenced by Foucault's ideas is "sociotechnical imaginaries". These are collective representations of how science and technology should develop and be used in society1 .

For example, in genetics, such "imaginaries" can influence how society perceives genetic data: as a panacea for all diseases or as a threat to privacy. These representations often remain implicit but influence the entire system of technoscience1 .

Epistemological Frameworks in Genetics

In biomedicine, epistemological frameworks are particularly evident in genetics, where two main approaches exist1 :

  • Medical genetics: Focuses on practical application for diagnosis and treatment
  • Biological genetics: Oriented toward fundamental research on biological mechanisms

Despite methodological similarities, these fields differ in goals and specialist training, leading to different understandings of what constitutes knowledge and how to interpret data1 .

Comparison of Medical and Biological Genetics

Aspect Medical Genetics Biological Genetics
Goal Diagnosis and treatment of diseases Study of fundamental mechanisms of heredity
Specialist Training Medical geneticists Biologists, biotechnologists
Primary Methods Genetic testing, counseling Sequencing, gene editing
Understanding of Subject Patient as pathology carrier Organism as genetic information carrier

Experiment: How Epistemological Frameworks Influence Disclosure of Genetic Information

Methodology of the Experiment

In 2015, a research team led by V. Rahimzadeh conducted a study on how context influences decisions to disclose or not disclose genetic test results1 . The scientists analyzed various cases from medical practice, focusing on how doctors and patients make decisions depending on the type of genetic information (e.g., about hereditary diseases or predispositions).

Data Collection

Analysis of medical records and surveys of geneticists and patients

Case Studies

Detailed examination of specific cases where disclosure questions arose

Interviews

In-depth interviews with participants to understand motivations and fears

Results and Analysis

The study showed that decisions about disclosing genetic information depend not only on medical factors but also on the epistemological frameworks of specialists1 . For example:

  • Geneticists oriented toward the medical model were more inclined to disclose information if it could affect treatment.
  • Biological geneticists working in research contexts more often considered potential risks to patient privacy.

This demonstrates how different epistemological frameworks influence practical decisions in biomedicine1 .

Factors Influencing Genetic Information Disclosure
Factor Influence on Disclosure Example
Disease Type High risk of hereditary disease increases likelihood of disclosure Disclosing BRCA1/2 mutation information for breast cancer
Data Context Research vs. clinical context influences decision Anonymity more often preserved in research context
Specialist's Framework Doctors disclose more often, biologists more cautious Different approaches in medical vs. biological genetics
Disclosure Decisions by Context
Case Information Type Disclosure Decision Rationale
Case 1 High hereditary disease risk Disclosed Possibility of preventive measures
Case 2 Uncertain gene variant significance Not disclosed Lack of clear medical recommendations
Case 3 Incidental finding (unrelated to main study) Context-dependent Less often disclosed in research context

Scientific Toolkit: Key Reagents and Materials in Genetic Research

Modern genetic research relies on a range of key reagents and materials that enable data acquisition and analysis.

Reagent/Material Function Example Use
PCR (Polymerase Chain Reaction) Amplification of specific DNA regions Diagnosis of infectious diseases
Restriction Enzymes Cutting DNA at specific sites Gene cloning
CRISPR-Cas9 Genome editing Correcting gene mutations
Next-Generation Sequencers High-throughput DNA sequencing Whole-genome sequencing
Bioinformatic Programs Analysis of large genetic data arrays Identifying pathogenic gene variants
Genetic Research Process Flow
Sample Collection
DNA Extraction
Analysis
Interpretation

Conclusions: What This Means for Us

Epistemological frameworks of biomedicine are not just abstract philosophical concepts. They influence how each of us is perceived by the medical system: as a patient or as an active subject1 .

Understanding these frameworks allows for critical engagement with medical recommendations, participation in health decision-making, and awareness of how technologies shape our identity. As research has shown, it is often context and specialists' frameworks that determine whether genetic information will be disclosed and how it will be used. This highlights the need for developing humanities expertise in biomedicine so that technologies do not become disconnected from human values1 .

Current Challenges
  • Balancing technological advancement with ethical considerations
  • Addressing disparities in access to genetic technologies
  • Ensuring patient autonomy in decision-making processes
  • Protecting genetic privacy in the era of big data
Future Directions
  • Development of personalized medicine approaches
  • Integration of genetic editing technologies
  • Application of artificial intelligence in genetic analysis
  • Revision of epistemological frameworks to include holistic perspectives

Biomedicine stands on the threshold of changes: the development of personalized medicine, genetic editing, and artificial intelligence require reconsideration of old epistemological frameworks. Perhaps in the future we will arrive at a new "episteme" where humans will be viewed not as objects of study but as holistic subjects whose health depends on a complex interplay of biological, social, and psychological factors.

References