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Safety of viable embryonated eggs of the whipworm as a novel food pursuant to Regulation (EU) 2015/2283.

Following a request from the European Commission, the EFSA Panel on Nutrition, Novel Foods and Food ...

Combined Ensemble Docking and Machine Learning in Identification of Therapeutic Agents with Potential Inhibitory Effect on Human CES1.

The human carboxylesterase 1 (CES1), responsible for the biotransformation of many diverse therapeut...

Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice.

The use of artificial intelligence will transform clinical practice over the next decade and the ear...

Predictive Analysis of First Abbreviated New Drug Application Submission for New Chemical Entities Based on Machine Learning Methodology.

Generic drug products are approved by the US Food and Drug Administration (FDA) through Abbreviated ...

Concepts in U.S. Food and Drug Administration Regulation of Artificial Intelligence for Medical Imaging.

Although extensive attention has been focused on the enormous potential of artificial intelligence ...

Uncovering the structure of self-regulation through data-driven ontology discovery.

Psychological sciences have identified a wealth of cognitive processes and behavioral phenomena, yet...

Similarity corpus on microbial transcriptional regulation.

BACKGROUND: The ability to express the same meaning in different ways is a well-known property of na...

MD-SVM: a novel SVM-based algorithm for the motif discovery of transcription factor binding sites.

BACKGROUND: Transcription factors (TFs) play important roles in the regulation of gene expression. T...

Data science, artificial intelligence, and machine learning: Opportunities for laboratory medicine and the value of positive regulation.

Artificial intelligence (AI) and data science are rapidly developing in healthcare, as is their tran...

Applications of machine learning in GPCR bioactive ligand discovery.

GPCRs constitute the largest druggable family having targets for 475 Food and Drug Administration (F...

Artificial Intelligence May Cause a Significant Disruption to the Radiology Workforce.

The increasingly realistic prospect of artificial intelligence (AI) playing an important role in rad...

Enabling artificial intelligence in high acuity medical environments.

Acute patient treatment can heavily profit from AI-based assistive and decision support systems, in ...

Building the drug-GO function network to screen significant candidate drugs for myasthenia gravis.

Myasthenia gravis (MG) is an autoimmune disease. In recent years, considerable evidence has indicate...

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER.

Artificial Intelligence is exponentially increasing its impact on healthcare. As deep learning is ma...

Dynamic Regulation of Level Set Parameters Using 3D Convolutional Neural Network for Liver Tumor Segmentation.

Segmentation of liver tumors plays an important role in the choice of therapeutic strategies for liv...

How to make nonhumanoid mobile robots more likable: Employing kinesic courtesy cues to promote appreciation.

Service robots that mimic human social behavior can appear polite. We tested the social and behavior...

Plasmonic MoO nanoparticles incorporated in Prussian blue frameworks exhibit highly efficient dual photothermal/photodynamic therapy.

Development of near infrared (NIR) light-responsive nanomaterials for high performance multimodal ph...

Deep Learning-Based Prediction of Drug-Induced Cardiotoxicity.

Blockade of the human ether-à-go-go-related gene (hERG) channel by small molecules induces the prolo...

Comparative Study of Multitask Toxicity Modeling on a Broad Chemical Space.

Acute toxicity is one of the most challenging properties to predict purely with computational method...

Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering.

OBJECTIVE: Melanoma is a dangerous form of the skin cancer responsible for thousands of deaths every...

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