FDA General

Rise of Clinical Studies in the Field of Machine Learning: A Review of Data Registered in ClinicalTrials.gov.

Although advances in machine-learning healthcare applications promise great potential for innovative medical care, few data are available on the translational status of these new technologies. We aimed to provide a comprehensive characterization of the development and status quo of clinical studies in the field of machine learning. For this purpose, we performed a registry-based analysis of machin...

Integrated support vector machine and pharmacophore based virtual screening driven identification of thiophene carboxamide scaffold containing compound as potential PARP1 inhibitor.

Poly (ADP-ribose) polymerase-1 (PARP1) inhibition strategy for cancer treatment is gaining advantage particularly in patients having a mutation in BRCA1/BRCA2 gene. To date, four drugs have obtained FDA approval and some inhibitors are in clinical trials. To identify more potent PARP1 inhibitors extensive research is going on to enrich the library of PARP1 inhibitors with compounds belonging to di...

Continual learning in medical devices: FDA's action plan and beyond.

Explainable artificial intelligence in high-throughput drug repositioning for subgroup stratifications with interventionable potential.

Enabling precision medicine requires developing robust patient stratification methods as well as drugs tailored to homogeneous subgroups of patients f...

Modeling transcriptional regulation of model species with deep learning.

To enable large-scale analyses of transcription regulation in model species, we developed DeepArk, a set of deep learning models of the -regulatory ac...

Deep-learning based repurposing of FDA-approved drugs against dihydrofolate reductase and molecular dynamics study.

causes the fatal fungal bloodstream infection in humans called Candidiasis. Most of the species are resistant to the antifungals used to treat them....

Clinical evaluation of the GeneXpert® Xpert® Xpress SARS-CoV-2/Flu/RSV combination test.

The Cepheid Xpert Xpress SARS-CoV-2/Flu/RSV combination test received emergency use authorization approval by the United States Food and Drug Administ...

A two-stream convolutional neural network for microRNA transcription start site feature integration and identification.

MicroRNAs (miRNAs) play important roles in post-transcriptional gene regulation and phenotype development. Understanding the regulation of miRNA genes...

The effect of diabetes on major robotic hepatectomy.

Studies regarding the influence of diabetes on perioperative outcomes after major hepatectomy are conflicting. The objective of this study is to analy...

Deep learning model for virtual screening of novel 3C-like protease enzyme inhibitors against SARS coronavirus diseases.

In the context of the recently emerging COVID-19 pandemic, we developed a deep learning model that can be used to predict the inhibitory activity of 3...

Variable Selection from Image Texture Feature for Automatic Classification of Concrete Surface Voids.

Machine learning plays an important role in computational intelligence and has been widely used in many engineering fields. Surface voids or bugholes ...

Multi-Drug Featurization and Deep Learning Improve Patient-Specific Predictions of Adverse Events.

While the clinical approval process is able to filter out medications whose utility does not offset their adverse drug reaction profile in humans, it ...

DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning.

Alternative polyadenylation (APA) is a crucial step in post-transcriptional regulation. Previous bioinformatic studies have mainly focused on the reco...

The EU medical device regulation: Implications for artificial intelligence-based medical device software in medical physics.

Medical device manufacturers are increasingly applying artificial intelligence (AI) to innovate their products and to improve patient outcomes. Health...

Deep learning identification for citizen science surveillance of tiger mosquitoes.

Global monitoring of disease vectors is undoubtedly becoming an urgent need as the human population rises and becomes increasingly mobile, internation...

Machine learning identifies candidates for drug repurposing in Alzheimer's disease.

Clinical trials of novel therapeutics for Alzheimer's Disease (AD) have consumed a large amount of time and resources with largely negative results. R...

Overcoming barriers to implementation of artificial intelligence in gastroenterology.

Artificial intelligence is poised to revolutionize the field of medicine, however significant questions must be answered prior to its implementation o...

Proposed training pathway with initial experience to set up robotic hepatobiliary and pancreatic service.

Although robot-assisted hepatobiliary and pancreatic (HPB) surgery has gained momentum over the last 2 decades, only a handful of units in the world p...

DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of Enhancers.

The establishment of a landscape of enhancers across human cells is crucial to deciphering the mechanism of gene regulation, cell differentiation, and...

Fast semantic segmentation method for machine vision inspection based on a fewer-parameters atrous convolution neural network.

Owing to the recent development in deep learning, machine vision has been widely used in intelligent manufacturing equipment in multiple fields, inclu...