Yan Leyfman: From Cancer Data to Discovery – Advancing the Future of AI in Oncology
Yan Leyfman/LinkedIn

Yan Leyfman: From Cancer Data to Discovery – Advancing the Future of AI in Oncology

Yan Leyfman, Medical Correspondent at OncLive, Freelance, Co-Founder and Executive Director of MedNews Week, shared on LinkedIn:

“From Cancer Data to Discovery: Advancing the Future of AI in Oncology

The future of cancer care will be shaped not only by the therapies we develop, but by how effectively we harness data, leverage artificial intelligence, and translate innovation into meaningful opportunities for patients worldwide.

It was a tremendous honor to be invited as a Featured Speaker at the National Cancer Institute’s 4th Annual Office of Data Sharing Symposium, where I had the opportunity to present our work exploring the utility of AI-driven, mCODE-aligned frameworks to facilitate clinical trial matching and advance oncology data sharing.

My sincere gratitude to Dr. Ying Huang for the gracious invitation, and to Drs. Huang and Mousumi Ghosh for their exceptional leadership in organizing such an outstanding forum and bringing together a remarkable group of speakers at the forefront of cancer research, AI, and data science.

I am especially grateful to Dr. Arturo LoAIza-Bonilla for his continued mentorship, guidance, and belief in the potential of our work, and to the incredible Massive Bio team for their tireless efforts to bridge the gap between scientific innovation and patient access to clinical trials.

One of the most rewarding aspects of the symposium was the opportunity to connect with pioneering leaders in AI, including Dr. Caroline Chung, as well as Drs. Kelli Rasmussen, Satish E. Viswanath, Xueli Liu, and Jaime Guidry Auvil as we exchanged perspectives on where the intersection of AI, oncology, and data science is heading. These conversations reinforced an important conviction: the true measure of innovation is not simply what technology can accomplish, but how many lives it can meaningfully impact.

As we look toward the next generation of cancer care, I believe our greatest opportunity lies in building a future where AI-driven discoveries transcend institutional, geographic, and socioeconomic boundaries, bringing precision oncology and clinical trials within reach of patients everywhere.

I leave this symposium inspired by the extraordinary work being done across the field, grateful for the opportunity to contribute to these conversations, and even more committed to helping translate these advances into equitable, real-world impact.

The future of oncology will not be built in isolation. It will be built through collaboration, shared knowledge, and a collective commitment to ensuring that innovation reaches every patient who needs it.”

Yan Leyfman: From Cancer Data to Discovery - Advancing the Future of AI in Oncology

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Yan Leyfman: From Cancer Data to Discovery - Advancing the Future of AI in Oncology