FDA General

Artificial intelligence in nanomedicine.

The field of nanomedicine has made substantial strides in the areas of therapeutic and diagnostic de...

PISTON: Predicting drug indications and side effects using topic modeling and natural language processing.

The process of discovering novel drugs to treat diseases requires a long time and high cost. It is i...

Stability and Compatibility of Diphenhydramine Hydrochloride in Intravenous Admixtures: A New Look at an Old Drug.

Intravenous (IV) admixtures of diphenhydramine are widely used in hospitalized patients to prevent ...

Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices.

Artificial Intelligence (AI) has long promised to increase healthcare affordability, quality and acc...

Association of Reduced Nicotine Content Cigarettes With Smoking Behaviors and Biomarkers of Exposure Among Slow and Fast Nicotine Metabolizers: A Nonrandomized Clinical Trial.

IMPORTANCE: The US Food and Drug Administration (FDA) has announced its intention to reduce the nico...

Prototype-Based Compound Discovery Using Deep Generative Models.

Designing a new drug is a lengthy and expensive process. As the space of potential molecules is very...

A rapid LC-MS/MS method for simultaneous determination of quetiapine and duloxetine in rat plasma and its application to pharmacokinetic interaction study.

Combinations of new antidepressants like duloxetine and second-generation antipsychotics like quetia...

Regulatory Approval versus Clinical Validation of Artificial Intelligence Diagnostic Tools.

Machine learning approaches infer vitamin D signaling: Critical impact of vitamin D receptor binding within topologically associated domains.

The vitamin D-modulated transcriptome of highly responsive human cells, such as THP-1 monocytes, com...

The Effects of Hydration Status on Cognitive Performances among Young Adults in Hebei, China: A Randomized Controlled Trial (RCT).

: Dehydration may affect cognitive performances as water accounts for 75% of brain mass. The purpose...

Convolutional neural network scoring and minimization in the D3R 2017 community challenge.

We assess the ability of our convolutional neural network (CNN)-based scoring functions to perform s...

Altered Micro-RNA Regulation and Neuroprotection Activity of in Alzheimer's Disease Model.

BACKGROUND: Amyloid-β peptide (Aβ) is involved in the formation of senile plaques in Alzheimer's dis...

Classification of Whole Mammogram and Tomosynthesis Images Using Deep Convolutional Neural Networks.

Mammography is the most popular technology used for the early detection of breast cancer. Manual cla...

Ontology-based literature mining and class effect analysis of adverse drug reactions associated with neuropathy-inducing drugs.

BACKGROUND: Adverse drug reactions (ADRs), also called as drug adverse events (AEs), are reported in...

A supervised learning approach for diffusion MRI quality control with minimal training data.

Quality control (QC) is a fundamental component of any study. Diffusion MRI has unique challenges th...

Evaluation of Natural Language Processing (NLP) systems to annotate drug product labeling with MedDRA terminology.

INTRODUCTION: The FDA Adverse Event Reporting System (FAERS) is a primary data source for identifyin...

Deep learning in pharmacogenomics: from gene regulation to patient stratification.

This Perspective provides examples of current and future applications of deep learning in pharmacoge...

Effect of dilution in asymmetric recurrent neural networks.

We study with numerical simulation the possible limit behaviors of synchronous discrete-time determi...

Drug repositioning for prostate cancer: using a data-driven approach to gain new insights.

UNLABELLED: Prostate cancer (PC) is the most common cancer and the third leading cause of cancer dea...

ANTENNA, a Multi-Rank, Multi-Layered Recommender System for Inferring Reliable Drug-Gene-Disease Associations: Repurposing Diazoxide as a Targeted Anti-Cancer Therapy.

Existing drug discovery processes follow a reductionist model of "one-drug-one-gene-one-disease," wh...

Structure-function properties of hypolipidemic peptides.

This review addresses the structure-function properties of hypolipidemic peptides. The cholesterol-l...