In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
New AGI lab aims to revolutionize machine learning with symbolic models, moving beyond traditional deep learning.
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory failure (ARF) represents one of its most critical complications.
Feasibility and Implementation of a Digital Health Intervention Electronic Patient-Reported Outcomes–Based Platform for Telemonitoring Patients With Breast Cancer Undergoing Chemotherapy Among the 76 ...
Morning Overview on MSN
AI model predicts new carbon crystals, including one harder than diamond
Researchers have used artificial intelligence to predict dozens of previously unknown carbon crystal structures, including at ...
Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...
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