Why we created a phone-sized device to take blood diagnostics out of the lab into the real world

When your doctor thinks you might have an infection or an allergy, a simple blood test should give answers within hours. But ...
Journal of Medical Internet Research

Sample Size Requirements for Popular Classification Algorithms in Tabular Clinical Data: Empirical Study

Objective: This study aimed to determine optimal sample sizes and the relationships between sample size and dataset-level characteristics over a variety of binary classification algorithms. Methods: A ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
IEEE

WSHT Algorithm for Improved SHP Selection in DS-InSAR: Robust Performance Across Sample Sizes

Abstract: The selection of statistically homogeneous pixels (SHPs) is essential for precise deformation monitoring in distributed scatterer synthetic aperture radar interferometry (DS-InSAR). Current ...
C&EN

Comparative Analysis of Sample Loop and Counting Bead–Based Methods for Size-Dependent Bias in Flow Cytometry

Biometrology Group, Division of Biomedical Metrology, Korea Research Institute of Standards and Science, 267 Gajeong-ro, Yuseong-gu, Daejeon 34113, Republic of Korea Graduate School of Analytical ...
IEEE

Machine Learning Model Validation for Early Stage Studies with Small Sample Sizes

Abstract: In early stage biomedical studies, small datasets are common due to the high cost and difficulty of sample collection with human subjects. This complicates the validation of machine learning ...