The Scholar Summit cordially welcomes you to attend the Global Summit on Oncology & Cancer Care (GSOCC-2026), scheduled to take place from August 20–22, 2026, in the dynamic city of Tokyo, Japan.

This three-day Summit will serve as a global gathering of key stakeholders in the oncology community, including oncologists, cancer researchers, clinicians, healthcare professionals, scientists, and industry experts. The event is designed to become a leading international platform, attracting participants from around the world to share knowledge, exchange ideas, and explore emerging scientific, clinical, and commercial developments in oncology and comprehensive cancer care.

The Summit will feature a wide-ranging scientific program comprising plenary sessions, keynote lectures, invited talks, parallel scientific sessions, and poster presentations, including dedicated sessions for early-career researchers and young scientists. The program will cover a broad spectrum of topics, including but not limited to cancer biology, early detection and diagnosis, precision oncology, immunotherapy, targeted therapies, radiation and surgical oncology, palliative care, supportive oncology, and cancer survivorship.

Join us in Tokyo for three impactful days of scientific exchange, collaboration, and innovation, and be part of shaping the future of global oncology and cancer care.

.Global Summit

• National Level Project Expo (200+ Projects)
• Startup Showcase
• Interactive Tech Stalls
• Internship Opportunities
• Investor Connect & Networking
• Technology Exhibition
• Innovation Showcase
• Product Demonstrations

Join us at 25th Global Summit on Nursing Education and Practice held during October 19-20, 2026 at Los Angeles, USA with a theme to Bridging Education and Practice: Advancing Excellence in Nursing.

Participants will be awarded both CE Credits (accredited by the California Board of Registered Nursing) and CPD Credits.

Cardiology
Cardiovascular Research
Cardiovascular Diseases
Heart Failure
Coronary Artery Disease
Hypertension
Arrhythmia & Electrophysiology

Data Science