Precision Medicine

The virtual models will help researchers develop more personalized treatment plans, predict health outcomes, monitor chronic conditions and streamline drug development, a new report shows.

The new U.S. study also found a combination of machine learning and AI-powered image analysis could advance mammography screening, improve the efficacy of radiology workflows and position more women at high risk to achieve earlier detection.

Improved drug discovery and innovations in personalized treatments are among the goals for the new Target and Lead Identification Suite and Multiomics Suite.

The new functionalities allow customers to integrate existing processing pipelines so they can quickly build applications and scale up robust genomic analyses and secondary analyses. 

J29 supports the "HIMSS Gives Back" initiative and has public and private partnerships central to its mission. J29 president and founder Tracy Mills and VP of HHS Programs Nick Vass offer a deep dive.

HIMSS23 keynote speaker Salim Ismail, founder and chair of OpenExO, talks about the decade of Exponential Organizations.

The FHIR-enabled platform supports provider tools that integrate algorithms and machine learning to improve patient diagnoses.

At HIMSS23, panelists discussed how genomics could improve patient care and the challenges to implementing genetic testing programs.

Sonya Makhni, medical director of the Mayo Clinic Platform, discusses a model that brings the disparate pieces of a fractured healthcare ecosystem together in her keynote at the HIMSS23 ML and AI Forum. 

With quantum computing now a reality, and poised to turbocharge machine learning and precision medicine across healthcare, one expert who's speaking at HIMSS23 says it's time to prepare.