Aptamer-functionalized MOFs and AI-driven strategies for early cancer diagnosis and therapeutics
Author:
Funder
Universiti Teknikal Malaysia Melaka
Publisher
Springer Science and Business Media LLC
Subject
General Medicine,Biotechnology,Bioengineering,Applied Microbiology and Biotechnology
Link
https://link.springer.com/content/pdf/10.1007/s10529-023-03454-z.pdf
Reference78 articles.
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2. Altomare DF (2016) Breath analysis for colorectal cancer screening. Color Dis 18:1127–1128. https://doi.org/10.1111/codi.13480
3. Bradley DA, Nawi SNM, Sani SFA et al (2022) Characterisation of graphite-based material for dosimetry in the mammographic energy range. Radiat Phys Chem 201:110405
4. Bukhari M, Yasmin S, Sammad S et al (2022) A deep learning framework for leukemia cancer detection in microscopic blood samples using squeeze and excitation learning. Math Probl Eng. https://doi.org/10.1155/2022/2801227
5. Cai M, Chen G, Qin L et al (2020) Metal organic frameworks as drug targeting delivery vehicles in the treatment of cancer. Pharmaceutics 12:232
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