Publications by authors named "Rajiv Anne"
Article Synopsis
- Recent advances in cancer treatment highlight the need for improved therapeutic evaluation methods, shifting focus from traditional 2D cell cultures to 3D cell cultures for more accurate drug effectiveness assessments.
- This study presents a deep learning model that allows for non-destructive viability estimation of 3D cancer spheroids using phase-contrast images, addressing current limitations in existing viability assays.
- The integration of microfluidic technology enables the creation of a high-throughput platform for drug screening, with successful validation against conventional chemotherapy drugs, showing strong potential for broader applications in cancer research.
Considerable evidence suggests that breast cancer therapeutic resistance and relapse can be driven by polyploid giant cancer cells (PGCCs). The number of PGCCs increases with the stages of disease and therapeutic stress. Given the importance of PGCCs, it remains challenging to eradicate them.
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