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Gene Therapy

Gene Therapy

Gene therapy is a technique where a gene is inserted into a person’s cells to prevent or treat a serious disease. The added gene may be a healthy version of the gene that is mutated in the patient, or it could be a different gene that inactivates or compensates for the patient’s disease-causing gene. For example, in patients with severe combined immunodeficiency (SCID) due to a mutation in the gene for the enzyme adenosine deaminase, a functioning version of the gene can be...

Microorganisms in Medicine and Therapeutics

Microorganisms in Medicine and Therapeutics

Microorganisms play a fundamental role in vaccine development, gene therapy, and therapeutic production. Their biological properties are harnessed to advance medicine and public health. Beyond immunization, microorganisms contribute to gut health, antibiotic synthesis, and genetic disease treatment.Live Attenuated and Inactivated VaccinesLive attenuated vaccines, such as the measles, mumps, and rubella (MMR) vaccine, utilize weakened forms of pathogens to closely resemble natural infections.

What is Genetic Engineering?

What is Genetic Engineering?

iPS Cell Differentiation

iPS Cell Differentiation

The ability of induced pluripotent stem cells or iPSCs to differentiate into most body cell types has stimulated repair and regenerative medicine research over the past few decades. iPSC-derived blood cells, hepatocytes, beta islet cells, cardiomyocytes, neurons, and other cell types can repair injuries or regenerate damaged tissue in diseases such as diabetes and neurodegenerative disorders.

Combination Therapies and Personalized Medicine

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...

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Recent Progress of Machine Learning in Gene Therapy.

Cassandra Hunt¹, Sandra Montgomery², Joshua William Berkenpas¹

¹Department of Computer Science, Pacific Lutheran University, Tacoma, WA, United States.

Current Gene Therapy

|June 23, 2021

Summary

Gene therapy, utilizing tools like CRISPR, is advancing rapidly alongside cheaper genome sequencing. Machine learning accelerates gene therapy development and ethical considerations are crucial for precision medicine.

Keywords:

CRISPR Machine learning cancer cardiovascular disease ethics gene therapy hemophilia neurodegenerative disease

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Area of Science:

Biomedical Technology
Genomics
Computational Biology

Background:

Advancements in gene editing technologies like CRISPR offer viable therapeutic options.
Decreasing costs of whole genome sequencing fuel progress in gene therapy and precision medicine.
Machine learning (ML) and artificial intelligence (AI) are increasingly utilized to optimize gene therapy development.

Purpose of the Study:

To survey current gene therapy applications for various diseases.
To explore the integration of machine learning in gene therapy research and development.
To discuss the ethical implications of gene therapy and ML in precision medicine.

Main Methods:

Literature review of current gene therapy treatments.
Analysis of machine learning applications in gene therapy.
Discussion of ethical considerations in gene therapy and precision medicine.

Main Results:

Gene therapy is progressing for several diseases, with CRISPR as a key technology.
Machine learning demonstrates potential in reducing time and cost for gene therapy development.
Both gene therapy and machine learning are rapidly growing fields with significant research interest.

Conclusions:

Continued research and application of machine learning techniques are essential for advancing the field of gene therapy.
The synergy between gene therapy and machine learning holds promise for future medical breakthroughs.
Ethical considerations must guide the development and implementation of these powerful technologies.