Page 11 - TD-4-2

Tumor Discovery AI in cancer research

trust between researchers and clinicians, complicating competing financial interests or personal relationships that
the integration of AI into practice. Ethical considerations could have influenced the work reported in this paper.
are also significant. AI systems require access to large
9
amounts of patient data, raising concerns about privacy References
and consent. Robust data governance frameworks are 1. Perez-Lopez R, Ghaffari Laleh N, Mahmood F, Kather JN.
essential to protect patient confidentiality while enabling A guide to artificial intelligence for cancer researchers. Nat
research. In addition, AI’s potential to exacerbate health Rev Cancer. 2024;24(6):427-441.
disparities must be addressed. If AI models are trained on doi: 10.1038/s41568-024-00694-7
data from specific populations, they may perform poorly
in underrepresented groups, perpetuating inequities in 2. Sandeep F, Kiran N, Rahaman Z, Devi P, Bendari A.
cancer care. However, the future of AI in cancer research is Pathology in the age of artificial intelligence (AI): Redefining
undoubtedly promising. As computational power increases roles and responsibilities for tomorrow’s practitioners.
and algorithms become more sophisticated, AI capabilities Cureus. 2024;16:e56040.
will expand even further. One exciting front is multi- doi: 10.7759/cureus.56040
omic data integration, combining genomic, proteomic, 3. Wu X, Li W, Tu H. Big data and artificial intelligence in
transcriptomic, and metabolomic information to provide cancer research. Trends Cancer. 2024;10(2):147-160.
a comprehensive view of cancer biology.
doi: 10.1016/j.trecan.2023.10.006
Another area of growth is real-time monitoring and
decision-making. AI-powered tools could continuously 4. He X, Liu X, Zuo F, Shi H, Jing J. Artificial intelligence-based
multi-omics analysis fuels cancer precision medicine. Semin
analyze patient data, offering physicians real-time insights Cancer Biol. 2023;88:187-200.
into disease progression and treatment effectiveness. These
capabilities would revolutionize personalized medicine, doi: 10.1016/j.semcancer.2022.12.009
ensuring that interventions are tailored to each patient’s 5. Bhinder B, Gilvary C, Madhukar NS, Elemento O. Artificial
unique needs. Collaborative efforts will also be crucial. intelligence in cancer research and precision medicine.
Partnerships between AI researchers, oncologists, and Cancer Discov. 2021;11(4):900-915.
pharmaceutical companies can drive innovation, translating doi: 10.1158/2159-8290.CD-21-0090
computational insights into clinical advances. Furthermore,
patient engagement in AI research is vital, ensuring that 6. Weikert T, Cyriac J, Yang S, Nesic I, Parmar V, Stieltjes B. A
technologies address real-world needs and concerns. practical guide to artificial intelligence-based image analysis
in radiology. Invest Radiol. 2020;55(1):1-7.
In resume, AI has ushered in a new era for cancer
research, offering tools to decipher the complexity of doi: 10.1097/RLI.0000000000000600
the disease and accelerate the development of targeted 7. Brancaccio G, Balato A, Malvehy J, Puig S, Argenziano G,
therapies. By efficiently analyzing heterogeneous data sets, Kittler H. Artificial Intelligence in skin cancer diagnosis:
identifying biomarkers, and optimizing drug discovery, AI A reality check. J Invest Dermatol. 2024;144(3):492-499.
has become an invaluable resource in the fight against cancer doi: 10.1016/j.jid.2023.10.004
(Figure 1). However, to harness its full potential, challenges 8. You Y, Lai X, Pan Y, et al. Artificial intelligence in cancer
related to data quality, interpretability, and ethics need to be target identification and drug discovery. Signal Transduct
addressed. With continued innovation and collaboration, Target Ther. 2022;7(1):156.
AI is poised to transform cancer research and care, bringing
hope to millions of people around the world. doi: 10.1038/s41392-022-00994-0
9. Naik N, Hameed BM, Shetty DK, et al. Legal and ethical
Conflict of interest consideration in artificial intelligence in healthcare: Who
Amancio Carnero is an Editorial Board Member of takes responsibility? Front Surg. 2022;9:862322.
this journal. The author declares that he has no known doi: 10.3389/fsurg.2022.862322

Volume 4 Issue 2 (2025) 3 doi: 10.36922/TD025040006