Norm ISWSVR: A Data Integration and Normalization Approach for Large-Scale Metabolomics by Xian Ding (421647)

“…More importantly, Norm ISWSVR also allows a low frequency of QCs, which could significantly decrease the burden of a large-scale experiment. …”

Simulating a virtual tumor board with large language models: a pilot study in NSCLC patients receiving immunotherapy by Rashad Ismayilov (22565645)

“…<p>Multidisciplinary teams (MDTs) are fundamental to cancer care but face increasing burdens. This pilot study evaluates a large language model (LLM) simulating a tumor board for a clinically complex cohort of non-small cell lung cancer (NSCLC) patients, using a full-context guideline injection methodology to ground its reasoning in authoritative standards.…”

Data_Sheet_1_Rapid, Large, and Synchronous Sweat and Cardiovascular Responses Upon Minor Stimuli in Healthy Subjects. Dynamics and Reproducibility.PDF by Ai Van Thuy Ho (8395764)

“…</p><p>Results: Electrodermal activity in the right and left palms was almost identical, with rapid and large increases within a few seconds in response to stimuli, whereas no such significant changes were seen in the face, back, and abdomen. …”

Sheet growth in a gland-like formation. by Clifford W. Sandlin (13919632)

Bibliometric methods for identifying AI-assisted papers by Andrew Gray (10234100)

AI explanation chart. by Niusha Shafiabady (14774119)

“…Organisations are turning to AI as a critical enabler to achieve these goals. …”

SHAP Value Analysis for Model Prediction. by Youli Jiang (15249070)

Subjects:

VTE Risk Assessment Tool. by Youli Jiang (15249070)

Subjects:

The predictive performance on test set. by Youli Jiang (15249070)

Subjects:

Performance Comparison of Machine Learning Models. by Youli Jiang (15249070)

Subjects:

Feature Impact Analysis. by Youli Jiang (15249070)

Subjects:

Feature engineering. by Youli Jiang (15249070)

Subjects:

Analysis of errors of the AI model on accuracy and decision times for different tasks during the retrospective reader study. (a) by Kerol Djoumessi (21349992)

Supplementary Material for: Predicting Individual Patient Platelet Demand in a Large Tertiary Care Hospital Using Machine Learning by Engelke M. (14766622)

DataSheet_1_Kidney function and cardiovascular diseases: a large-scale observational and Mendelian randomization study.docx by Chang Hu (2577655)

Run time in seconds to find interactions on increasingly large data set. by Kieran Elmes (11127506)

Supplementary Material for: A History of Asthma Increases the Risk of Bullous Pemphigoid: Insights from a Large Population-Based Study by Kridin K. (10202555)

Identify Survived Key Features and Relevant Mechanisms for Designing High-Entropy Carbides via AI or Machine Learning by Dong Zhang (73558)

“…For HECs, a few basic features are identified, which largely determine their elastic moduli. …”

Transfer of a resistance plasmid from the resident microbial community is sensitive to abiotic conditions, and it confers a large increase in resistance. by Michael Baumgartner (4150687)

Selective Molecular Sieving through a Large Graphene Nanopore with Surface Charges by Chengzhen Sun (1853743)