Emerging Topics in Precision Medicine: Non-invasive Innovations Shaping Cancer and Immunotherapy Progress
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 726
Special Issue Editors
Interests: lymphoma; tumor microenvironment; immunotherapy; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: computational systems biology; systems immunology; translational systems biology; drug discovery
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Immunotherapy, which harnesses the power of immune cells, holds promise in enhancing clinical outcomes, yet is challenged by cancer heterogeneity, variable therapy response, and the development of resistance. Despite several advanced clinical approaches, cancer remains the second-most deadly disease in the world. Therefore, comprehending cancer heterogeneity and immunotherapy response is crucial to optimize personalized therapeutic interventions based on individual tumors. With the integration of big data in medical applications, the incorporation of diverse biomedical data, ranging from molecular to imaging, provides a high-dimensional visualization of cancer behavior. This enables cancer stratification, diagnosis, and therapy management. Thus, the utilization of multimodal data fusion will open avenues for the development of advanced non-invasive investigations, addressing the challenges of cancer intricacies and enhancing the precision of personalized treatment strategies.
The topic welcomes reviews and research articles in computational non-invasive approaches including, but not limited to, radiomics, radiogenomics, computational models, and artificial intelligence methods.
Dr. Rada Amin
Dr. Bhanwar Lal Puniya
Guest Editors
Manuscript Submission Information
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Keywords
- cancer
- immunotherapy
- computational biology
- radiogenomics
- radiomics
- in silico systems
- drug delivery
- non-invasive approaches
