Precision Oncology in the Era of Genomics and Artificial Intelligence
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Summary
Convergence of AI and multimodal data driven by genomics has revolutionized precision oncology, ultimately reshaping the landscape and horizon of patient care as well as uncovering new opportunities for better understanding of cancer biology.
- Type
- article
- Published
- 2024-01-01
- Cited by
- 9
- References
- 69
- Access
- Open access
- OpenAlex
- https://openalex.org/W4407382615
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:276311883
Keywords
Genomics, Precision medicine, Artificial intelligence, Computational biology, Computer science
References
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- Artificial intelligence in radiology
- Making use of cancer genomic databases
- MR-Only Brain Radiation Therapy: Dosimetric Evaluation of Synthetic CTs Generated by a Dilated Convolutional Neural Network.
- Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy
- A Machine Learning Approach for Identifying Gene Biomarkers Guiding the Treatment of Breast Cancer
- DeepSignal: detecting DNA methylation state from Nanopore sequencing reads using deep-learning
Cited by
- Artificial Intelligence Applications in Smart Healthcare: A Survey
- Synthetic data generation in genomic cancer medicine: a review of global research trends in the last ten years
- AI and IoT Integration for Chronic Disease Management in Smart Healthcare
- Quercetin as a Therapeutic Agent for Oral Cancer: Current Evidence and Future Directions.
- Bioinformatics and artificial intelligence in genomic data analysis: current advances and future directions
- Leveraging Hybrid Deep Learning Models for Predictive Modelling and Early Diagnosis of Adrenocortical Carcinoma using Multi-Omics Data
- Emerging aptamer-based nanosensors integrated with artificial intelligence for precision oncological diagnostics
- Designing AI Systems for Optimizing Patient Flow in Smart Hospitals
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