The New York Times

A $440,000 Breast Reduction: How Doctors Cashed In on a Consumer Protection Law

A law meant to end surprise medical billing accidentally created a multibillion-dollar industry that is making doctors richer. Credit...Andres Kudacki for The New York Times Supported by By Sarah ...
IEEE

Multistage PCA Whitening: A Robust Method to Dimensionality Reduction in Image Retrieval

Abstract: Generating compact and robust feature representations using principal component analysis (PCA) is crucial for image retrieval tasks. However, most existing methods require PCA parameters to ...
ascopubs.org

Evaluating Dimensionality Reduction for Patient-Reported Outcome–Based Survival Modeling in Patients With Head and Neck Cancer

This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity ...
Nature

Dimensionality reduction in hyperspectral imaging using standard deviation-based band selection for efficient classification

Hyperspectral imaging generates vast amounts of data containing spatial and spectral information. Dimensionality reduction methods can reduce data size while preserving essential spectral features and ...
Nature

Benchmarking of dimensionality reduction methods to capture drug response in transcriptome data

Drug-induced transcriptomic data are crucial for understanding molecular mechanisms of action (MOAs), predicting drug efficacy, and identifying off-target effects. However, their high dimensionality ...
Roll Call

Harm reduction techniques being phased out under Trump

The Trump administration is escalating its push against what has become a key part of the way states, localities and communities respond to the overdose epidemic: harm reduction. A public health ...
Frontiers

SuperTac - tactile data super-resolution via dimensionality reduction

The advancement of tactile sensing in robotics and prosthetics is constrained by the trade-off between spatial and temporal resolution in artificial tactile sensors. To address this limitation, we ...
LinkedIn

Dimensionality Reduction: Techniques, Applications, and Challenges

Dimensionality reduction simplifies complex datasets by reducing the number of features while attempting to preserve the essential characteristics, helping machine learning practitioners avoid the ...
News Medical

Improving noise reduction methods in structural MRI imaging

Magnetic resonance imaging (MRI) is among the most commonly used imaging methods in preclinical studies as it non-invasively produces multiparametric data of tissues and organs. An animal organism’s ...
GitHub

Randomized Spatial PCA (RASP)

Here, we present Randomized Spatial PCA (RASP), a novel spatially aware dimensionality reduction method for spatial transcriptomics (ST) data. RASP is designed to be orders-of-magnitude faster than ...
LinkedIn

Dimensionality Reduction: A Single-Cell Example

Welcome to our third installment of the Machine Learning in Bioinformatics series! After covering the basics of machine learning and tree-based models, today we'll dive into dimensionality reduction ...