NCI ‘Last Mile’ Initiative Innovates Self-Sampling for HPV Screening
New self-sampling technologies screening for HPV could help increase access and reduce cervical cancer among underserved and high-burden populations.
The National Cancer Institute’s Last Mile initiative is exploring new ways at getting screening tests for cervical cancer into more hands. Women who die from cervical cancer often have had limited or no access to screenings. This is just one element that has largely driven the White House’s Cancer Moonshot Program to significantly reduce the death rate from cancer over the coming years.
Dr. Vikrant Sahasrabuddhe, deputy chief of the Breast and Gynecologic Cancer Research Group and Program Director in the Division of Cancer Prevention at NCI, discusses more about how technology and research are driving the Last Mile initiative and how it is reducing health inequities by reaching women where they are with more at-home screening options. Sahasrabuddhe also highlights how advancements with tools like AI are improving diagnosing and treating cervical cancer.
-
Dr. Vikrant Sahasrabuddhe Program Director, Division of Cancer Prevention NCI
-
The Year Ahead: FBI’s 2025 Cybersecurity Priorities
The FBI is increasing awareness of vulnerabilities and employing AI-enabled tools to secure networks from sophisticated cyber threats.
19m listen -
OPM Navigates AI Governance Through People
OPM's Taka Ariga explores AI's role in an efficient federal workforce and operations, focusing on trust, data integrity and storytelling.
19m listen -
HHS CIO Eyes Special Cyber Measures to Secure Data
Data security and customer experience are top priorities for Jennifer Wendel, the newly confirmed permanent CIO at the Department of Health and Human Services (HHS).
25m listen -
Coming Soon: AI GovCast Season 2 Explores Federal Artificial Intelligence
The first season of AI GovCast brought listeners the voices at the forefront of government's AI revolution. Coming Jan. 14, season two will dive deeper into AI governance, use cases and implementation.
1m listen
