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Recent research has made significant strides in the diagnosis and treatment of cancer, with a focus on high-efficacy and minimally invasive methods. The integration of artificial intelligence, bioimpedance, thermal imaging, and nanomaterials has enabled early diagnosis and paved the way for innovative treatments.
In the last two decades, treatments based on microwave, radiofrequency, and ultrasound have shown promise. However, for these thermotherapies to become primary treatment options, they must overcome certain challenges.
One of the primary hurdles is ensuring that applicators accurately target tumors with electromagnetic or mechanical waves, avoiding damage to surrounding healthy tissue. Researchers have designed nanoparticles to improve focus and developed new applicators using computational models based on finite element methods.
To efficiently predict applicator performance, it is essential to include dielectric, thermal, and acoustic properties (tissue characterization) in these models. This characterization must encompass not only healthy tissue but also tumors.
Patient-specific treatment planning involves creating a 3D patient model based on medical images. This approach ensures a safe and effective treatment by defining tissue properties and applicator parameters. Key factors, such as temperature increase and heat pattern, must be evaluated to guarantee patient safety and treatment success.
By harnessing the potential of artificial intelligence, nanotechnology, and advanced modeling techniques, researchers are pushing the boundaries of cancer diagnosis and treatment. As these innovations continue to evolve, they may hold the key to more effective and patient-centric cancer care.
Citlalli J. Trujillo Romero is a renowned author and expert in the field of cancer research and treatment.
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