The new project combines clinical data with advanced analytics and artificial intelligence in an effort to create ...
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
The field of chronic disease management is witnessing a significant transformation due to recent advancements in big data analytics and artificial intelligence (AI). Major chronic diseases, such as ...
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A machine learning model may enable liver cancer risk prediction with routine clinical information
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...
In a recent study published in the journal Communications Medicine, a group of researchers developed and validated scalable machine learning models that predict 12-month Mini-Mental State Examination ...
A new big data-based predictive model developed in Hong Kong enables more dynamic monitoring of six common cardiovascular ...
The new model identifies at-risk subgroups and helps guide them toward tailored interventions. The depicted figures wear color-coded outfits matching the DNA double helix railings, symbolizing the ...
Isatuximab, Lenalidomide, Bortezomib, and Dexamethasone Induction Therapy for Transplant-Eligible Newly Diagnosed Multiple Myeloma: Final Part 1 Analysis of the GMMG-HD7 Trial Evaluating MRD-CR as an ...
COPD is a long-term lung disease that makes it hard to breathe after airways become inflamed and narrowed and mucus builds up ...
Sleep data captured with a wearable device could help clinicians better tailor care by identifying patients with chronic obstructive pulmonary disease (COPD) who may need additional support to partici ...
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