Genome Medicine is pleased to present, “AI applications in cancer discovery and care.” The use of AI in oncology has increased dramatically in recent years, evolving from basic algorithm development research towards incorporation into clinical application. Simultaneous advances in genome sequencing technology and computing have allowed for AI usage on high dimensionality cancer datasets for risk prediction, detection, diagnosis, molecular characterization, subtype classification, precision medicine, and therapeutic target identification. Of particular interest is how these advances are now being integrated into clinical practice to benefit patient care.
To capture advances in this growing area, Genome Medicine is pleased to announce a call for papers for our upcoming special Collection on “AI applications in cancer discovery and care,” guest edited by Dr Jakob Nikolas Kather from Technical University Dresden and Dr Mihaela Aldea from Gustave Roussy. We are particularly interested in encouraging collaboration between basic and clinical researchers. The Guest Editors may be able to provide guidance on fostering such collaborations; please contact the editorial team to discuss further.
We are now inviting the submission of Research, Method, Software, Database, and Guideline manuscripts of outstanding interest describing AI applications for cancer discovery and care including:
- Machine learning, neural networks, deep learning, interpretable AI
- Multimodal artificial intelligence systems
- Artificial intelligence agents
- Single-cell analyses, methods, and tools using machine learning
- Spatial transcriptomics and landscapes
- Histopathology and multi-omics
- Mapping spatiotemporal trajectories and cell-cell interactions
- Cancer interactomes
- Multi-modal data fusion with AI for biomarker discovery
- Clonal dynamics, subclonal selection, and metastasis evolution and tracking
- Prediction of cancer risk, prognosis, and therapy response
- Cancer screening, diagnosis, and treatment
- Immune system dynamics during cancer treatment
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