It is partnering with a global healthcare technology firm to boost data-driven clinical decision-making to improve treatment accuracy and outcomes.

According to the Global Cancer Observatory, in 2020, there were an estimated 19m new cancer cases in the world, with 50% of them in the Asia Pacific Region (APAC).

Thankfully, the rising incidence of cancer in APAC has been accompanied by breakthroughs in cloud computing efficiencies and augmented reality that are making supercomputer power more accessible and surgical tools more accurate—so that medical research institutes around the world can speed up and innovate cancer studies and hyper-personalized therapies.

Just recently, on 7 June 2022, the National Cancer Centre Singapore (NCCS) has announced a collaboration with GE Healthcare to spur the potential for more tailored treatment options for specific cancer types. The collaboration also offers researchers the potential to use AI and text processing to evaluate clinically significant information along the patient journey in order to facilitate efficient decision making.

The agreement between the two entities will tap on new AI-powered solutions for data analytics and clinical workflows that support care for cancer patients in this part of the world.

According to the Principal Investigator for this collaboration, Associate Professor Iain Tan, Senior Consultant and Director of Research, Division of Medical Oncology, NCCS, the partnership “combines the strengths of NCCS’s clinical perspective and deep expertise in oncology care, analytics and translational research with GE Healthcare’s global reach, innovative technologies and services. Working together, we hope to leverage next-generation digital tools to enhance integration of cross-disciplinary information, augment clinical decision making and improve outcomes for our patients.”

Said Dr Ben Newton, General Manager, Oncology, GE Healthcare: “This new collaboration with NCCS is GE Healthcare’s first in APAC that leverages AI-powered research to improve precision health practices for cancer care. Simplifying the way data is managed can help healthcare professionals improve patient outcomes with faster decision making and more precise treatment options.”