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ASU Professor Joins 2024 AIMBE College of Fellows - Vimarsana News

ASU Professor Joins 2024 AIMBE College of Fellows

The American Institute for Medical and Biological Engineering (AIMBE) has announced the induction of Regents Professor Petra Fromme, director of the Biodesign Center for Applied Structural Discovery at Arizona State University, to its College of Fell

A Deep Dive into the Personalized Medicine Market: Strategies for Tailored Health | CAGR 11.2% - Vimarsana News

A Deep Dive into the Personalized Medicine Market: Strategies for Tailored Health | CAGR 11.2%

The latest research study, titled “Global Personalized Medicine Market: Outlook and Forecast 2023-2030,” has been unveiled by Allied Market Research. This comprehensive analysis delves into the market’s risk assessment, while also illuminating potential opportunities. The study equips stakeholders with invaluable in...

Precipio Presents Poster on HemeScreen® Study at - Vimarsana News

Precipio Presents Poster on HemeScreen® Study at

Poster presents findings of a study of ~1000 patient samples demonstrating superior accuracy for HemeScreen™ MPN Assay...

New AI-3D Imaging Collaboration may Provide Expanded View, Understanding of Prostate Cancer Cells - Vimarsana News

New AI-3D Imaging Collaboration may Provide Expanded View, Understanding of Prostate Cancer Cells

Researchers at Case Western Reserve University and the University of Washington expect to gain valuable new insights into highly aggressive prostate cancer by combining artificial intelligence (AI)-powered diagnostic imaging with three-dimensional (3D) tissue imaging.

AI Tools Help Patients with Non-Small Cell Lung Cancer - Vimarsana News

AI Tools Help Patients with Non-Small Cell Lung Cancer

According to the latest research, the Center for Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University and pharmaceutical companies have collaborated to create artificial intelligence (AI) tools that will help patients with non-small cell lung cancer (NSCLC) based on an analysis of typical tissue biopsy images.