A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.
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CNN-based system improves lung nodule detection and classification
Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
GRAIL, Inc. (Nasdaq: GRAL), a healthcare company whose mission is to detect cancer early when it can be cured, announced today that it will issue financial results for the fourth quarter and full year ...
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Machine learning model predicts serious transplant complications months before symptoms appear
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...
The study also highlights the limitations of relying on body mass index (BMI) as a proxy for metabolic health.
Researchers have created the most detailed maps to date showing how genes regulate one another across different types of ...
Researchers from IIIT Hyderabad are using cutting-edge technologies for early detection of cancer, and more personalised ...
Insulin resistance—when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels—is ...
According to Lockton, uneven data and biased treatment assignments can distort machine learning models, affecting how ...
AI catches connections we miss. AI-IR was trained using independent cohorts from the United States and Taiwan, a collection of anonymized medical data ...
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