Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
Impulse AI is building an autonomous machine learning engineer that turns data into production models from a simple prompt.
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 ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
Artificial Intelligence (AI) and Machine Learning (ML) are becoming core technologies across industries. Organizations are using these technologies to improve ...
A new technical paper titled “Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate” was published by researchers at KTH Royal Institute of Technology and ...
New machine learning study reveals how early-life chronic conditions like arthritis, mood disorders, and hypertension may drive premature death in people with IBD—highlighting critical opportunities ...
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