Machine Learning Guided Batched Design of a Bacterial Ribosome Binding Site by Mengyan Zhang (6686543)

“…We have integrated these machine learning algorithms with laboratory automation and high-throughput processes for reliable data generation. …”

DATASET AI by Elena Stamate (18836305)

“…<p dir="ltr">This dataset contains clinical, biological, and electrocardiographic parameters collected from adult patients diagnosed with ST-elevation myocardial infarction (STEMI), with the goal of supporting early prediction of cardiogenic shock (CS) during initial phases of care. The data were retrospectively collected from a single tertiary care center and include patients evaluated between the prehospital stage and cardiology-on-call consultation.…”

Table_1_Prediction of pCR based on clinical-radiomic model in patients with locally advanced ESCC treated with neoadjuvant immunotherapy plus chemoradiotherapy.docx by Xiaohan Wang (691917)

“…Radiomic features, discerned from the primary tumor region across plain, arterial, and venous phases of CT, and pertinent laboratory data were documented at two intervals: pre-treatment and preoperation. …”

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

“…<p dir="ltr">This dataset contains the data used in the article <a href="https://academic.oup.com/aob/advance-article/doi/10.1093/aob/mcaf043/8074229" rel="noreferrer" target="_blank">"Machine Learning and digital Imaging for Spatiotemporal Monitoring of Stress Dynamics in the clonal plant Carpobrotus edulis: Uncovering a Functional Mosaic</a>", which includes the complete set of collected leaf images, image features (predictors) and response variables used to train machine learning regression algorithms.…”