Ayesha Zafar
Papers
1
Total Citations
16
H-Index
1
About
Ayesha Zafar is a pioneering researcher at the intersection of nanotechnology, proteomics, and artificial intelligence. Her work centers on green synthesis of nanomaterials for biomedical applications, with a particular focus on cancer research. In her landmark 2022 study, Zafar developed a novel approach by incubating green synthesized iron oxide nanorods—meticulously characterized using UV-visible spectroscopy, XRD, FTIR, and nano-LC mass spectrophotometry—to explore proteomics-derived motifs. These crystalline nanorods, averaging just 17.32 nm in size, formed the foundation for a deep learning fusion model targeting oncogenesis. This innovative integration of nanotechnology with computational biology has garnered 16 citations, establishing her as a rising interdisciplinary leader. Zafar’s work demonstrates how engineered nanomaterials can serve as precise tools for protein motif discovery, while her fusion of experimental nanosynthesis with AI-driven analysis represents a significant methodological advance. Her research holds promise for developing more targeted cancer diagnostics and therapies, positioning her at the forefront of nanobiotechnology and computational oncology.
Research Focus
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Top Papers
- 1