Precision Medicine

Also called personalized medicine, this evolving field makes use of an individual’s genes, lifestyle, environment and other factors to identify unique disease risks and guide treatment decision-making.
Medical 3D printing expert Summer Decker, PhD, professor and vice chair for research and innovation, and director of 3D clinical applications, University of South Florida (USF) Morsani College of Medicine and Tampa General Hospital, explains what is involved in creating a 3D printiung program in radiology and how it helps patient care.

Pitching the business case for 3D printing labs in radiology

Medical 3D printing expert Summer Decker, PhD, University of South Florida, explains how her lab has helped improve patient care. 

March 14, 2024

Manufacturers partner to develop radioisotopes used in cancer drugs, clinical trials

Eckert & Ziegler and Nucleus RadioPharma have signed an agreement to address the increasing demand for Lu-177 and Ac-225.

January 31, 2024

HIMSS cancels annual meeting over coronavirus concerns

The Healthcare Information and Management Systems Society (HIMSS) has officially canceled its 2020 annual meeting in Orlando, Florida, due to continued concerns over the new coronavirus.

March 5, 2020

Semantic Interoperability: Creating a Common Language to Transform Care

Wednesday, March 3, 2:15 PM - 3:15 PM Creating a common problem list from diverse EMRs at the University of Pittsburgh Medical Center raised challenges despite common terminology. The presenters will describe their solution to these challenges, which impact semantic interoperability.

February 26, 2010

AAPM: Researchers develop nano-based x-ray for imaging, radiotherapy

A team of nanomaterial scientists, medical physicists and cancer biologists at the University of North Carolina has developed smaller, lower-cost x-ray tubes packed with sharp-tipped carbon nanotubes for cancer research and treatment. The technology was presented this week at the 2009 meeting of the American Association of Physicists in Medicine (AAPM), in Anaheim, Calif.

July 29, 2009

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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