Jan. 22, 2024, 10:20 p.m. | Sana Hassan

MarkTechPost www.marktechpost.com

Subcellular protein localization is key to unlocking the intricate details of cellular function, particularly within the complex milieu of tumor microenvironments. While providing a broad view, traditional proteomics methods often miss the nuanced, sub-cellular information crucial for a complete understanding. Researchers have noted that current techniques, such as immunofluorescence, tend to aggregate protein expressions within […]


The post Stanford Researchers Introduce PEPSI: A New Artificial Intelligence Method to Identify Tumor-Immune Cell Interactions from Tissue Imaging appeared first on MarkTechPost.

ai shorts applications artificial artificial intelligence cellular editors pick function identify imaging information intelligence interactions key localization protein proteomics researchers staff stanford tech news technology understanding view

More from www.marktechpost.com / MarkTechPost

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Robotics Technician - 3rd Shift

@ GXO Logistics | Perris, CA, US, 92571