A pancreatic cancer risk prediction model (Prism) developed and validated on large-scale US clinical data.

"Declaration of interests KJ and MR are not aware of any payments or services, paid to themselves or MIT, that could be perceived to influence the submitted work. IK and LA are not aware of any payments or services, paid to themselves or BIDMC, that could be perceived to influence the submitted work. During the time the research was performed MR received consulting fees and payment for expert testimony for Comcast, Google, Motorola, Qualcomm, and IBM, is a member of the scientific advisory board and owns stock at Vali Cyber, and acknowledges support from Boeing, DARPA, and the NSF for salary and research support including meeting attendance and travel. MR has the following patents: United States Patent 10,539,419. Method and apparatus for reducing sensor power dissipation. Phillip Stanley- Marbell, Martin Rinard. United States Patent 10,135,471. System, method, and apparatus for reducing power dissipation of sensor data on bit-serial communication interfaces. Phillip Stanley-Marbell, Martin Rinard. United States Patent 9,189,254. Translating text to, merging, and optimizing graphical user interface tasks. Nathaniel Kushman, Regina Barzilay, Satchuthananthavale Branavan, Dina Katabi, Martin Rinard. United States Patent 8,839,221. Automatic acquisition and installation of software upgrades for collections of virtual machines. Constantine Sapuntzakis, Martin Rinard, Gautam Kachroo. United States Patent 8,788,884. Automatic correction of program logic. Jeff Perkins, Stylianos Sidiroglou, Martin Rinard, Eric Lahtinen, Paolo Piselli, Basil Krikeles, Timothy Anderson, Greg Sullivan. United States Patent 7,260,746. Specification based detection and repair of errors in data structures. Brian Demsky, Martin Rinard. JW is a TriNetX employee and owns TriNetX stock. The remaining authors declare no competing interests."

"We are grateful to Gadi Lachman and TriNetX for providing support and resources for this work, and to Lydia González for her help with identifying and mitigating data quality issues. MR, LA, KJ acknowledge the contribution of resources by TriNetX, including secured laptop computers, access to the TriNetX EHR database, and clinical, technical, legal, and administrative assistance from the TriNetX team of clinical informaticists, engineers, and technical staff. LA acknowledges support from the 10.13039/100001299Prevent Cancer Foundation for this work. MR and KJ received funding from 10.13039/100000185DARPA and 10.13039/100000003Boeing. MR also received funding from the NSF and Aarno Labs. SK, MP, JW, and KH are employees of TriNetX."