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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

4/10/2026
New review highlights key technologies and intelligent development trends for tumor surgery navigation platforms

Tumor surgery faces challenges such as unclear lesion boundaries, complex anatomy, and intraoperative tissue deformation. Traditional navigation systems struggle with soft‑tissue dynamics and real‑time accuracy. A new review published in Intelligent Oncology examines how AI and multimodal imaging are driving next‑generation surgical navigation toward greater precision and safety.

Read More
4/1/2026
Capturing the Hallmarks of Cancer Through the Lens of Artificial Intelligence

In a new editorial published in Intelligent Oncology, the journal’s editor-in-chief, Professor Bo Xu, presents a compelling vision for the future of cancer research: artificial intelligence (AI) as a unifying, quantitative “meta-lens” that transforms the multidimensional hallmarks of cancer into clinically actionable insights.

Read More
3/26/2026
Artificial Intelligence Enables Contrast-Free Diagnosis of Clear-Cell Renal Cell Carcinoma Using Non-Contrast CT

A new study published in Intelligent Oncology presents a deep learning–based system capable of accurately localizing renal tumors and classifying clear-cell renal cell carcinoma (ccRCC) using only non-contrast computed tomography (NCCT), offering a potential alternative to contrast-enhanced imaging in patients with contraindications to contrast media.

Read More

Becoming a member

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