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Related Concept Videos

Targeted Cancer Therapies02:57

Targeted Cancer Therapies

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The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
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Combination Therapies and Personalized Medicine02:50

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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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Tumor Immunotherapy01:27

Tumor Immunotherapy

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Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
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Treatment Resistant Cancers02:56

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Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
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Cancer Therapies02:49

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Cancer therapies are various modes of treatment, such as surgery, radiation therapy, and chemotherapy that are administered to cancer patients.
However, cancer treatments can pose several challenges, as therapies used to kill cancer cells are generally also toxic to normal cells. Moreover, cancer cells mutate rapidly and can develop resistance to chemical agents or radiation therapy. Besides, all types of cancer cells may not respond to the same therapy. Some cancer cells respond to one...
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Chronic Pancreatitis II: Collaborative Care01:29

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The management of chronic pancreatitis is multifaceted, involving a comprehensive approach that includes thorough assessment, diagnostic testing, and a variety of management strategies.
Assessment:
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Liver Cancer: Artificial Intelligence (AI)-Based Integrated Therapeutic Approaches.

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Artificial intelligence and machine learning are transforming cancer diagnosis and therapy. These advanced computational methods offer new hope for improved patient outcomes and personalized treatment strategies.

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Area of Science:

  • Oncology and Medical Informatics

Background:

  • Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into medical research and clinical practice.
  • The application of AI/ML in oncology aims to improve disease detection, treatment planning, and patient management.

Discussion:

  • AI/ML algorithms analyze complex datasets to identify patterns indicative of cancer.
  • These techniques facilitate personalized medicine by predicting treatment responses and optimizing therapeutic regimens.

Key Insights:

  • AI/ML demonstrates significant potential in enhancing the accuracy and efficiency of cancer diagnosis.
  • Machine learning models can predict patient prognosis and guide therapeutic decision-making.

Outlook:

  • Continued advancements in AI/ML will likely lead to more sophisticated tools for cancer care.
  • The integration of AI/ML promises to revolutionize the future of oncology, improving patient survival rates and quality of life.