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Results for "Acute Kidney Injury"

SEHA, MBZUAI to Collaborate on Clinical Research

MBZUAI · Invalid Date

SEHA and MBZUAI have signed an MoU to integrate AI into medical care and enhance clinical expertise. They will collaborate on AI-driven solutions for quantifying COVID-19 infection severity and study its long-term impact on UAE residents. The partnership will also focus on diagnosis and treatment methods for acute kidney injury, coronary artery disease, fetal health, and AI-driven point of care ultrasound. Why it matters: This collaboration between a major healthcare provider and an AI university in the UAE could lead to advancements in AI-driven healthcare solutions and improve patient outcomes.

A graduate’s view on revealing invisible data

MBZUAI · Invalid Date

MBZUAI graduate Svetlana Maslenkova worked with Assistant Professor Mohammad Yaqub on a project focused on the earlier detection of kidney failure using tabular data. Maslenkova's master's thesis involved predicting Acute Kidney Injury (AKI) using Electronic Health Records (EHR), specifically the MIMIC-IV v2.0 database. She found that patient weight distribution was a factor in the severity of kidney failure. Why it matters: This research highlights the potential of AI and machine learning to improve healthcare outcomes through the analysis of often-overlooked tabular data in electronic health records.