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Machine Learning–Assisted Recurrence Prediction for Patients With Early-Stage Non–Small-Cell Lung Cancer

For predicting relapse in 1,387 patients with early-stage (I-II) NSCLC from the Spanish Lung Cancer Group data (average age 65.7 years, female 24.8%, male 75.2%), we train tabular and graph machine ...
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New AI model TabPFN enables faster and more accurate predictions on small tabular data sets

Filling gaps in data sets or identifying outliers – that’s the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg. This ...
KTLA

Prior Labs launches world’s first enterprise-scale AI foundation model capable of handling 10M rows of tabular data

Prior Labs has achieved another industry first, scaling its tabular AI foundation model, TabPFN, to 10 million data points – a 1,000x leap in under a year GERMANY ...