Preventive Care

Automatic inference of BI-RADS final assessment categories from narrative mammography report findings.

We propose an efficient natural language processing approach for inferring the BI-RADS final assessm...

A novel machine-learning-based infection screening system via 2013-2017 seasonal influenza patients' vital signs as training datasets.

Exploration of the nanomedicine-design space with high-throughput screening and machine learning.

Only a tiny fraction of the nanomedicine-design space has been explored, owing to the structural com...

Patient-Level Prediction of Cardio-Cerebrovascular Events in Hypertension Using Nationwide Claims Data.

BACKGROUND: Prevention and management of chronic diseases are the main goals of national health main...

RAMS: Remote and automatic mammogram screening.

About one in eight women in the U.S. will develop invasive breast cancer at some point in life. Brea...

Potential roles of artificial intelligence learning and faecal immunochemical testing for prioritisation of colonoscopy in anaemia.

Iron deficiency anaemia (IDA) is the most common cause of anaemia and a frequent indication for colo...

Large-Scale Screening of Natural Products Transactivating Peroxisome Proliferator-Activated Receptor α Identifies 9S-Hydroxy-10E,12Z,15Z-Octadecatrienoic Acid and Cymarin as Potential Compounds Capable of Increasing Apolipoprotein A-I Transcription in Human Liver Cells.

Increasing apolipoprotein A-I (apoA-I), the predominant protein of high-density lipoprotein (HDL) pa...

Hepatitis Screening and Treatment Campaign in Malaysia-Validation of Low-cost Point of Care Screening Tests and Nucleic Acid Tests for Hepatitis B and C.

BACKGROUND: Two major challenges in implementing budget-constrained Hepatitis screening and treatmen...

Machine Learning-based Development and Validation of a Scoring System for Screening High-Risk Esophageal Varices.

BACKGROUND & AIMS: Many patients with cirrhosis who undergo esophagogastroduodenoscopy (EGD) screeni...

Network-Based Assessment of Adverse Drug Reaction Risk in Polypharmacy Using High-Throughput Screening Data.

The risk of adverse drug reactions increases in a polypharmacology setting. High-throughput drug scr...

Machine learning-based prediction of future breast cancer using algorithmically measured background parenchymal enhancement on high-risk screening MRI.

BACKGROUND: Preliminary work has demonstrated that background parenchymal enhancement (BPE) assessed...

Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error.

BACKGROUND: Here, we outline a method of applying existing machine learning (ML) approaches to aid c...

Machine Learning of Designed Translational Control Allows Predictive Pathway Optimization in Escherichia coli.

The field of synthetic biology aims to make the design of biological systems predictable, shrinking ...

Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.

Asymptomatic left ventricular dysfunction (ALVD) is present in 3-6% of the general population, is as...

Conducting a formative evaluation of an intervention promoting mammography screening in an American Indian community: The Native Women's Health Project.

BACKGROUND: Breast cancer is an important public health issue among American Indian/Alaska Native (A...

Association of time to colonoscopy after a positive fecal test result and fecal hemoglobin concentration with risk of advanced colorectal neoplasia.

BACKGROUND: We evaluated the risk of advanced colorectal neoplasia (ACRN) and colorectal cancer (CRC...

Multifunctional luminescent immuno-magnetic nanoparticles: toward fast, efficient, cell-friendly capture and recovery of circulating tumor cells.

Highly efficient isolation and recovery of viable circulating tumor cells (CTCs) from the blood of p...

Practical Model Selection for Prospective Virtual Screening.

Virtual (computational) high-throughput screening provides a strategy for prioritizing compounds for...

Can Artificial Intelligence Make Screening Faster, More Accurate, and More Accessible?

Diabetic retinopathy, glaucoma, and age-related macular degeneration are leading causes of vision lo...

Double-integrated mimic enzymes for the visual screening of Microcystin-LR: Copper hydroxide nanozyme and G-quadruplex/hemin DNAzyme.

Recently, mimic enzymes have obtained particular interest by their high activity, stability, and bio...

Microfluidic droplets content classification and analysis through convolutional neural networks in a liquid biopsy workflow.

In a recent paper we presented an innovative method of liquid biopsy, for the detection of circulati...