HOPPR is accepting applications for the next cohort of its Catalyst Program, a research initiative for medical imaging AI projects.
The company announced the application cycle during SIIM26, where it is presenting Catalyst research projects and HOPPR AI Foundry demonstrations at booth #509.
Selected participants receive early access to the HOPPR AI Foundry. Program resources include a foundation-model library, curated datasets, fine-tuning tools, GPU compute credits, and training from HOPPR machine-learning scientists.
HOPPR lists the program’s target participants as radiology and imaging researchers, clinicians, data scientists, innovators working on fine-tuned model development, and academic institutions.
The first cohort includes projects at MAI Lab Lagos, The Catholic University of Korea, and the University of Illinois Cancer Center, according to the company.
Project areas include mammography AI models using Nigerian mammography datasets, chest X-ray model adaptation for musculoskeletal findings, and fine-tuning of chest CT and mammography foundation models for future lung and breast cancer risk prediction.
“One of the biggest challenges in healthcare AI isn’t a lack of ideas,” said Khan Siddiqui, MD, founder and CEO of HOPPR, adding that researchers also need tools to test and build models.
SIIM26 attendees can also use HOPPR technology in the SIIM AI Play Station at Kiosk 1 on Startup Street. SIIM describes the activity as a 5-minute fine-tuning challenge using a chest radiography foundation model.
HOPPR said people who are not attending SIIM26 can apply through the Catalyst Program page. The company also plans to host an informational webinar in July featuring selected participants and projects from the first cohort.
Company:Hoppr
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