PREDICTION OF RECURRENT VENOUS THROMBOEMBOLISM BY CLOT LYSIS TIME: A PROSPECTIVE COHORT STUDY.



Deep multiple instance learning versus conventional deep single instance learning for interpretable oral cancer detection.

The current medical standard for setting an oral cancer (OC) diagnosis is histological examination of a tissue sample taken from the Fridge Water Valve oral cavity.This process is time-consuming and more invasive than an alternative approach of acquiring a brush sample followed by cytological analysis.Using a microscope, skilled cytotechnologists a

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Accounting for non-rainfall moisture and temperature improves litter decay model performance in a fog-dominated dryland system

Historically, ecosystem models have treated rainfall as the primary moisture source driving litter decomposition.In many arid and semi-arid lands, however, non-rainfall moisture (fog, dew, and water vapor) plays a more important role in supporting microbial activity and carbon turnover.To date though, we lack a robust approach for modeling the role

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