SandboxAQ LQMs In Cancer Detection & Treatment for SU2C
SandboxAQ and SU2C
Stand Up To Cancer and SandboxAQ Jointly Promote New Treatments
Today, SandboxAQ and SU2C announced a major partnership to identify and cure cancer. SandboxAQ's advanced Large Quantitative Models (LQMs) are used in SU2C-supported cancer research.
New cancer treatment methods at the earliest stage are the main goal of this program. The alliance uses SandboxAQ's LQM technology and other cutting-edge AI and data modelling technologies to accelerate disease therapy development.
This collaboration will aid high-impact cancer research in several key areas. These include finding hard-to-diagnose and treat tumours. The program will utilise predictive models to track disease recurrence and enhance patient response to therapy.
Researchers can use SandboxAQ's advanced computational techniques to detect sickness early warning signs. Additionally, they will be used to predict sickness and create more personalised patient care plans. Cancer research and treatment depend on SandboxAQ's AI LQM platform's complex biological system simulation.
Stand Up To Cancer president and CEO Julian Adams, Ph.D., thinks the alliance may change. He called it a “pivotal moment in cancer research” because we were at the “threshold of a new era” with new technologies that might identify and treat cancer earlier and more accurately. Dr. Adams noted that SandboxAQ's cutting-edge technology strengthens SU2C's scientific network and collaborative research model. He believes they can “turn breakthroughs in the lab into more lives saved” by working together.
SandboxAQ CEO Jack Hidary concurred, stating the business is delighted to battle cancer with its inventions. He added they will cooperate with SU2C to provide their AI LQM platform with researchers to study complicated biological systems. He believes this will accelerate cancer research to patient benefits. Hidary said this agreement brings it “closer to a future where more cancers are cured”.
This relationship successfully combines SandboxAQ's AI-driven discovery experience and SU2C's multi-institutional research leadership. The organisations use powerful computational methods in cancer research to advance precision medicine.
This project continues SU2C's commitment to cutting-edge tools and ambitious, collaborative research. SU2C accelerates promising cancer research using next-generation technology.
Over 3,100 scientists from 210 universities in 16 countries have received SU2C funding since 2008. SandboxAQ's technology's extensive reach and collaboration experience make it a good fit. SU2C's goal of reducing cancer mortality by 25% in five years and 50% in ten aligns with this collaboration.
To achieve this, early-stage cancer diagnosis must become the norm, and LQM technology focusses on this. SU2C, a 501(c)(3) nonprofit, raises money for research and awareness to cure all patients. Our scientific partner, the American Association for Cancer Research, manages and rigorously reviews research money.
SandboxAQ provides B2B quantum-AI solutions. Large Quantitative Models have helped biological sciences, financial services, and navigation. Top investors and strategic partners helped Alphabet Inc. found the corporation.
As funding and fundraising goals are completed, further information about the SU2C research teams participating in this relationship will be released.