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Related Concept Videos

Drug Therapy01:28

Drug Therapy

310
The advent of drug therapy has profoundly shaped modern mental health care, providing targeted treatments for a range of psychological disorders. Psychotherapeutic drugs, classified into antianxiety, antidepressant, and antipsychotic medications, address symptoms across anxiety disorders, mood disorders, and schizophrenia. While these medications have transformed patient outcomes, they require careful management due to their potential side effects and limitations.
Antianxiety Medications
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Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

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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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Combined Effects of Drugs: Synergism01:27

Combined Effects of Drugs: Synergism

7.0K
Synergism is a useful mechanism where combining two or more drugs is more effective than each constituent used alone. Such combinations are also called supra-additive interactions. The drugs collectively enhance the final therapeutic effect by acting on different targets. Another advantage is that the low dose of each constituent drug is sufficient to achieve the desired effect. This helps reduce the duration of therapy and lower the adverse effects of these drugs.
Such synergistic combinations...
7.0K
Combined Effects of Drugs: Antagonism01:30

Combined Effects of Drugs: Antagonism

11.8K
The combined effects of drugs can result in various interactions, of which an important type is antagonism. Antagonism is a mechanism where one drug inhibits or counteracts the effects of another drug. Antagonism can occur through various means, including receptor binding, allosteric modulation, functional interaction, chemical reactions, and pharmacokinetic processes.
The most common type is receptor antagonism, where one drug acts as an antagonist to block the effects of another drug by...
11.8K
Intelligence01:27

Intelligence

8.8K
The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
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Drug Administration and Therapy Phases: Overview01:26

Drug Administration and Therapy Phases: Overview

1.5K
Drugs, the chemical agents used in diagnosing, treating, or preventing diseases, undergo a four-phase process of development: pharmaceutic, pharmacokinetics, pharmacodynamics, and therapeutic.
The pharmaceutical phase focuses on leveraging the physicochemical properties of the drug to design and manufacture an effective product. Variants include orally administered tablets or capsules, topical creams or ointments, and parenteral-delivery solutions or emulsions.
The pharmacokinetic phase...
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Artificial intelligence in drug combination therapy.

Igor F Tsigelny

    Briefings in Bioinformatics
    |February 14, 2018
    PubMed
    Summary

    Developing effective combination drug therapies for complex diseases is crucial. Artificial intelligence (AI) methods, combining expert systems and machine learning, show promise for optimizing personalized drug combinations.

    Area of Science:

    • Biomedical Informatics
    • Computational Biology
    • Pharmacology

    Background:

    • Complex diseases often require combination drug therapies due to multiple intervention points.
    • Advances in drug properties and patient data (genomic, proteomic, metabolomic) necessitate sophisticated analysis.
    • Individual physician capabilities are challenged by the complexity and dynamic nature of patient data.

    Purpose of the Study:

    • To review the application of artificial intelligence (AI) in optimizing combination drug therapies.
    • To highlight the potential of AI in addressing the complexities of personalized medicine.

    Main Methods:

    • Review of AI methods applied to combination drug therapy.
    • Discussion of rule-based expert systems and machine learning algorithms.
    Keywords:
    artificial intelligencecombination therapydrug combinationgenomic profilemachine learning

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  • Analysis of AI implementation in various diseases including HIV, hypertension, infectious diseases, and cancer.

    • Main Results:

    • AI methods have been successfully implemented across diverse therapeutic areas.
    • The integration of rule-based expert systems with machine learning algorithms is a promising approach.
    • AI facilitates the optimization of drug combinations for individual patient profiles.

    Conclusions:

    • Artificial intelligence offers a powerful solution for optimizing complex combination drug therapies.
    • The synergy of expert systems and machine learning holds significant potential for personalized medicine.
    • AI-driven approaches are essential for advancing treatment strategies in complex diseases.