Cancer HealthCast: This AI Tool Could Predict a Patient’s Response to Immunotherapy
NCI cancer researcher highlights how AI is playing a pivotal role in cancer care.
Artificial intelligence is impacting two main areas of cancer research: image analysis and managing massive amounts of clinical data. The National Cancer Institute sees AI as a key capability in precision oncology.
Dr. Eytan Ruppin, chief of NCI’s Cancer Data Science Lab, recently published a study about a new AI tool researchers are implementing to foresee how a patient will respond to immunotherapy by providing an in-depth look at the clinical characteristics of the patient as well as the Tumor Mutational Burden (TMB).
Ruppin discusses the NCI/CCR Synthesis Clinical Trial expected to start this fall and shares details about how the research will impact the treatment of aggressive breast cancer.
-
Dr. Eytan Ruppin Chief, Cancer Data Science Lab NCI
-
When Tackling AI Risk, Feds Say It’s All About Data, Governance
Government AI leaders discussed how data governance, trust and risk management are shaping adoption of agentic AI across agencies.
3m read -
Rep. Walkinshaw on 3 Tech Priorities: TMF, FITARA and FedRAMP
The congressman discussed major federal technology developments and where policy can impact IT modernization and workforce development.
15m watch -
DOE's AI-FORTS Program Tackles Cybersecurity in Energy Infrastructure
AI and industry partnerships are helping improve threat detection and strengthen cybersecurity across the energy sector.
4m read -
NIST's New Security Controls Address Agents in Software Development
NIST is exploring identity management, least-privilege access and human oversight to secure autonomous AI agents in development workflows.
4m read