2024-06-29
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Welcome To Gafio

Alliance vision

GAFIO's vision is to revolutionize global cancer care through AI and advanced medical technologies, aiming for a future where cancer is treatable and ultimately curable, with equitable access to innovative healthcare solutions.

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Welcome To Gafio

Mission and Goals

GAFIO's mission is to promote technological advancement and clinical application of AI in oncology, support interdisciplinary and international AI research, and foster excellence in cancer care through education, research, clinical practice, global collaboration, and advocacy.

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Background

Why was GAFIO established

The global incidence of cancer continues to rise, both in high-income countries and, especially, in low- and middle-income countries. In 2020, there were approximately 19.3 million newly diagnosed cancer cases, and 10.0 million cancer-related deaths worldwide. By 2050, the number of cancer cases is predicted to increase 77% to 35 million cases. Meanwhile, the economic cost for cancer treatment and care has been escalating 6%-9% annually, standing at around US$550 billion as of 2020. Moreover, geographic and economic barriers result in significant disparities in cancer survival rates between high-, middle- and low-income countries, for instance 67% in the US, 50% in India, and as low as 30% in sub-Saharan Africa. The escalating cost and complexity of cancer treatment necessitate a radical transformation in cancer care.

19.3 M

diagnosed cancer

10.0 M

related deaths

550 B USD

economic cost

9.0 %

escalating annually

GAFIO offers three types

Membership Types

Professional Background: Individuals applying for membership should have a background or interest in oncology, informatics, artificial intelligence, or related fields.
Qualifications: Applicants may be required to hold a bachelor's degree or higher in a relevant field, such as medicine, informatics, engineering, or related disciplines.
Commitment to GAFIO’s Mission: Prospective members should support GAFIO's mission and goals, which often involve advancing oncology, AI, and patient care through education, research, and collaboration.
Relevant Experience: While not always mandatory, having professional experience or involvement in oncology or AI-related activities can strengthen an individual's application for membership.

Relevant Background:  Open to residents, fellows, and students enrolled in relevant undergraduate, graduate, doctoral, post-doctoral, or resident training programs.
Commitment to GAFIO’s Mission: Prospective members should support GAFIO's mission and goals, which often involve advancing oncology, AI, and patient care through education, research, and collaboration.

Organizational Profile: Corporate members are typically entities such as hospitals, medical institutions, research organizations, and companies involved in healthcare, oncology, AI, or related industries.
Commitment to GAFIO's Mission: Similar to individual members, corporate members should align with GAFIO's mission and goals, especially in areas related to oncology, AI, and healthcare innovation.
Legal Entity Status: Corporate members must have legal entity qualifications or represent social groups with an interest in oncology, AI, or related social welfare activities.
Financial Commitment: Corporate members may be required to pay membership dues or fees based on their organizational size or membership tier.

Latest News

10/14/2026
AI Meets Neural Stem Cells: Can Computational Modeling Help Prioritize Brain Tumor Therapy Research?

Neural stem cells are being explored as carriers of anticancer payloads for malignant brain tumors. But a key question remains: which features of these therapeutic cells could help sustain tumor suppression, rather than produce only a temporary response? Computational modeling offers a way to explore this question before moving to experimental testing.

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10/11/2026
AI Meets Medical Imaging: How Do We Unlock the Full Potential of Intelligent Oncology Without Compromising Privacy?

AI is transforming cancer screening, tumor segmentation, and precision treatment planning. But a fundamental tension persists: the more powerful the model, the deeper its reliance on massive, highly sensitive datasets — and medical images are among the most private data imaginable.

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9/22/2026
Top 5 Most-Cited Articles in Intelligent Oncology (2025)!

According to the latest citation data from the Scopus database, we have compiled the top 5 most-cited review articles published in Intelligent Oncology in 2025. These articles focus on the deep intersection and cutting-edge applications of AI in oncology, pathology, and multi-omics, demonstrating exceptional academic impact!

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Becoming a member

If you have a common vision with us, join us

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Our vision is to democratize cancer care through AI, aiming for a future where cancer is universally curable.

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