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Latest AI and machine learning research in prescriptions for healthcare professionals.

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Showing 1345-1365 of 6,815 articles
A Unified Multimodal Interface for the RELAX High-Payload Collaborative Robot.

This manuscript introduces a mobile cobot equipped with a custom-designed high payload arm called RE...

The Coming of Age of AI/ML in Drug Discovery, Development, Clinical Testing, and Manufacturing: The FDA Perspectives.

Artificial intelligence (AI) and machine learning (ML) represent significant advancements in computi...

Automatic Detection of Dyspnea in Real Human-Robot Interaction Scenarios.

A respiratory distress estimation technique for telephony previously proposed by the authors is adap...

Effects of Motion-Relevant Knowledge From Unlabeled Video to Human-Object Interaction Detection.

The existing works on human-object interaction (HOI) detection usually rely on expensive large-scale...

DFRscore: Deep Learning-Based Scoring of Synthetic Complexity with Drug-Focused Retrosynthetic Analysis for High-Throughput Virtual Screening.

Recently emerging generative AI models enable us to produce a vast number of compounds for potential...

E(3) equivariant graph neural networks for robust and accurate protein-protein interaction site prediction.

Artificial intelligence-powered protein structure prediction methods have led to a paradigm-shift in...

Soft robot-mediated autonomous adaptation to fibrotic capsule formation for improved drug delivery.

The foreign body response impedes the function and longevity of implantable drug delivery devices. A...

Human Factors Considerations for Quantifiable Human States in Physical Human-Robot Interaction: A Literature Review.

As the global population rapidly ages with longer life expectancy and declining birth rates, the nee...

Identifying the serious clinical outcomes of adverse reactions to drugs by a multi-task deep learning framework.

Adverse Drug Reactions (ADRs) have a direct impact on human health. As continuous pharmacovigilance ...

Quantum Machine Learning Predicting ADME-Tox Properties in Drug Discovery.

In the drug discovery paradigm, the evaluation of absorption, distribution, metabolism, and excretio...

A subcomponent-guided deep learning method for interpretable cancer drug response prediction.

Accurate prediction of cancer drug response (CDR) is a longstanding challenge in modern oncology tha...

De novo drug design based on patient gene expression profiles via deep learning.

Computational de novo drug design is a challenging issue in medicine, and it is desirable to conside...

Artificial intelligence for dementia drug discovery and trials optimization.

Drug discovery and clinical trial design for dementia have historically been challenging. In part th...

pBRICS: A Novel Fragmentation Method for Explainable Property Prediction of Drug-Like Small Molecules.

Generative artificial intelligence algorithms have shown to be successful in exploring large chemica...

Organ-on-a-chip meets artificial intelligence in drug evaluation.

Drug evaluation has always been an important area of research in the pharmaceutical industry. Howeve...

Will artificial intelligence chatbots replace clinical pharmacologists? An exploratory study in clinical practice.

PURPOSE: Recently, there has been a growing interest in using ChatGPT for various applications in Me...

A Review on the Recent Applications of Deep Learning in Predictive Drug Toxicological Studies.

Drug toxicity prediction is an important step in ensuring patient safety during drug design studies....

Advancing algorithmic drug product development: Recommendations for machine learning approaches in drug formulation.

Artificial intelligence is a rapidly expanding area of research, with the disruptive potential to tr...

Machine Learning Techniques Applied to the Study of Drug Transporters.

With the advancement of computer technology, machine learning-based artificial intelligence technolo...

Interaction between maintenance variables of medical ultrasound scanners through multifactor dimensionality reduction.

BACKGROUND: Proper maintenance of electro-medical devices is crucial for the quality of care to pati...

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