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Bioinspired, ingestible electroceutical capsules for hunger-regulating hormone modulation.

The gut-brain axis, which is mediated via enteric and central neurohormonal signaling, is known to r...

Apr 2023 37099636
Learning From Experience and Finding the Right Balance in the Governance of Artificial Intelligence and Digital Health Technologies.

Artificial intelligence (AI) and machine learning medical tools have the potential to be transformat...

Apr 2023 37058329
Coupling analysis of heart rate variability and cortical arousal using a deep learning algorithm.

Frequent cortical arousal is associated with cardiovascular dysfunction among people with sleep-diso...

Apr 2023 37023117
Non-destructive classification of unlabeled cells: Combining an automated benchtop magnetic resonance scanner and artificial intelligence.

In order to treat degenerative diseases, the importance of advanced therapy medicinal products has i...

Feb 2023 36802391
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients.

Tumor burden assessment by magnetic resonance imaging (MRI) is central to the evaluation of treatmen...

Feb 2023 36738710
Artificial Intelligence and Data Mining for the Pharmacovigilance of Drug-Drug Interactions.

Despite increasing mechanistic understanding, undetected and underrecognized drug-drug interactions ...

Jan 2023 36732152
Exploratory pharmacovigilance with machine learning in big patient data: A focused scoping review.

BACKGROUND: Machine learning can operationalize the rich and complex data in electronic patient reco...

Jan 2023 36541054
Adverse drug event detection using natural language processing: A scoping review of supervised learning methods.

To reduce adverse drug events (ADEs), hospitals need a system to support them in monitoring ADE occu...

Jan 2023 36595517
LiSA: an assisted literature search pipeline for detecting serious adverse drug events with deep learning.

INTRODUCTION: Detecting safety signals attributed to a drug in scientific literature is a fundamenta...

Dec 2022 36550485
Prediction and interpretation of antibiotic-resistance genes occurrence at recreational beaches using machine learning models.

Antibiotic-resistant bacteria and antibiotic resistance genes (ARGs) are pollutants of worldwide con...

(1)
Dec 2022 36495825
Developing a deep learning natural language processing algorithm for automated reporting of adverse drug reactions.

The detection of adverse drug reactions (ADRs) is critical to our understanding of the safety and ri...

Dec 2022 36464227
What place for intelligent automation and artificial intelligence to preserve and strengthen vigilance expertise in the face of increasing declarations?

In 2018, the "Ateliers de Giens" (Giens Workshops) devoted a workshop to artificial intelligence (AI...

Nov 2022 36572627
A novel soft robotic pediatric in vitro swallowing device to gain insights into the swallowability of mini-tablets.

Soft robotics could help providing a better understanding of the mechanisms underpinning the swallow...

(1)
Nov 2022 36351507
SkiNet: A deep learning framework for skin lesion diagnosis with uncertainty estimation and explainability.

Skin cancer is considered to be the most common human malignancy. Around 5 million new cases of skin...

Oct 2022 36315487
Real-Time Ship Segmentation in Maritime Surveillance Videos Using Automatically Annotated Synthetic Datasets.

This work proposes a new system capable of real-time ship instance segmentation during maritime surv...

Oct 2022 36365787
Methodology for Conducting Post-Marketing Surveillance of Software as a Medical Device Based on Artificial Intelligence Technologies.

UNLABELLED: was to develop a methodology for conducting post-registration clinical monitoring of so...

(1)
Sep 2022 37181834
Using Deep Learning to Predict Minimum Foot-Ground Clearance Event from Toe-Off Kinematics.

Efficient, adaptive, locomotor function is critically important for maintaining our health and indep...

Sep 2022 36146308
Adverse events in the digital age and where to find them.

Exponential growth of health-related data collected by digital tools is a reality within pharmaceuti...

Sep 2022 35996833
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