Advancements in Cancer Diagnostics and Treatment

Recent advancements in cancer diagnostics highlight the importance of circulating tumor DNA (ctDNA) and rapid genetic profiling. NYU Langone Health has developed an Ultra-Rapid droplet digital PCR tool that can identify cancerous cells during surgery, significantly enhancing tumor removal accuracy. Additionally, studies indicate that CSF ctDNA can stratify risks and guide therapy in non-small-cell lung cancer with CNS metastases, showing improved survival rates with CSF-matched treatments. A dual threshold model for ctDNA levels is effective in predicting metastatic breast cancer progression, while a new deep learning method using Gabor Transforms has improved glioma tumor detection in MRI scans. These innovations demonstrate the potential of integrating molecular and imaging techniques for personalized cancer management.