Because of its highly complex biology, cancer has been difficult to cure with medication or injections. As new treatments like immunotherapy go through further research, health systems are starting to leverage data-sharing and artificial intelligence technology to predict a patient’s prognosis better and determine the most effective treatment plan for their cancer based on other patients with a similar medical history.
Here are some potential treatment methods that show promise in the cancer treatment landscape:
1. Precise Treatments:
Researchers expect widespread use of precision cancer medicine, which is using cancer’s molecular profile to figure out the best therapy approach for individual patients, such as single-targeted therapies or a combination. The treatment will apply to most solid tumors, such as tumors in the breast, colon, lung, and ovaries. Consequently, conventional chemotherapy will be used less frequently. Precision medicine also includes collecting substantial data entries on individuals and populations and integrating that data to predict better, prevent, diagnose, and treat cancer.
2. Effective Approaches:
In the future, fundamental knowledge about using immunotherapy in cancer treatment will provide scientists with a much better understanding of why some patients respond to this treatment while others don’t. This data will directly affect how treatment decisions are made. These sources will provide more information to build strategies for improving immunotherapy’s effectiveness in more patients and various types of cancers.
It may become possible to draw a patient’s blood and know exactly why their immune system is not keeping their cancer within control. Armed with this kind of knowledge, the doctors will be able to create personalized treatment regimens that include combinations and diverse mix of drugs designed to counter whatever is restricting the immune system from attacking the tumor.
These treatments will be more productive and more widely used across hematological cancers as well as solid tumors. Research and engineering techniques will allow for the development of either autologous (coming from the patient) or off-the-shelf (mass-produced) T cells that can recognize various targets on cancer cells, making them more centered on cancer and thus reducing damage to healthy cells. Advancements in gene engineering will also enable the inclusion of “safety switches” that allow cancer specialists to regulate the rate of T-cell expansion or deactivate T-cells completely when they have completed the job of eliminating cancer cells. This also will reduce T-cell treatment’s toxicity and side effects while maintaining its ability to attack cancer cells.