Recent advancements in how doctors classify tumors have made it easier to understand and treat them. Here are some important changes:
Molecular Profiling: New technology, called next-generation sequencing (NGS), helps find specific changes in over 90% of tumors. This allows doctors to create personalized treatments for patients.
Integrated Classification Systems: The World Health Organization (WHO) and the American Joint Committee on Cancer (AJCC) have updated their guidelines. They now use both molecular information and tissue details to improve how tumors are graded.
AI and Machine Learning: Smart computer programs can now separate different types of tumors more than 80% of the time by analyzing images of the tissue. This makes it faster to diagnose tumors.
Prognostic Markers: New tools like biomarkers (for example, looking for PD-L1 in lung cancer) help doctors understand the risk of a patient’s response to treatment. This has increased prediction accuracy by 20%.
These improvements show that we are moving toward a more detailed and personalized way of understanding and treating tumors.
Recent advancements in how doctors classify tumors have made it easier to understand and treat them. Here are some important changes:
Molecular Profiling: New technology, called next-generation sequencing (NGS), helps find specific changes in over 90% of tumors. This allows doctors to create personalized treatments for patients.
Integrated Classification Systems: The World Health Organization (WHO) and the American Joint Committee on Cancer (AJCC) have updated their guidelines. They now use both molecular information and tissue details to improve how tumors are graded.
AI and Machine Learning: Smart computer programs can now separate different types of tumors more than 80% of the time by analyzing images of the tissue. This makes it faster to diagnose tumors.
Prognostic Markers: New tools like biomarkers (for example, looking for PD-L1 in lung cancer) help doctors understand the risk of a patient’s response to treatment. This has increased prediction accuracy by 20%.
These improvements show that we are moving toward a more detailed and personalized way of understanding and treating tumors.