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In terms of diagnostic accuracy, ChatGPT's performance was evaluated based on its ability to correctly identify whether a ...
JFrog deserves its premium valuation due to its critical role in the software supply chain and negligible competition. Learn ...
The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...
Patient characteristics and model fairness across subgroups. Credit: JAMA Network Open (2025). DOI: 10.1001/jamanetworkopen.2025.13685 ...
A machine learning model may be reliable for determining risk for postpartum depression, underscoring the need for greater mental health screening in those who have recently given birth, according ...
Data collected by AI-driven systems may be vulnerable to software privacy concerns or model tampering, as they rely on infrastructure for data storage, encryption, and access. 86 Meanwhile, a major ...
"Machine learning model helps identify patients at risk of postpartum depression." ScienceDaily. ScienceDaily, 19 May 2025. <www.sciencedaily.com / releases / 2025 / 05 / 250519131029.htm>.
Rice University. "Light-based data made clearer with new machine learning method." ScienceDaily. ScienceDaily, 28 April 2025. <www.sciencedaily.com / releases / 2025 / 04 / 250428220611.htm>.
Anti–PD-1 antibodies are widely used for cancer treatment, including in advanced renal cell carcinoma (RCC). However, the therapeutic response varies among patients. This study aimed to predict tumor ...
The model is based on a two-step Deep Operator Network (DeepONet) architecture that includes symmetry-preserving features to handle the geometric characteristics of architected materials. The paper ...
What it takes to get useful health data from your smartwatch Training an algorithm is an essential part of translating our bodies’ signals into early diagnoses.
CHAI is working to build the model card registry for AI purchasers, like health systems, to get a basic understanding of a model’s training data, fairness metrics and intended use.