AIMC Topic: Administration, Oral

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Synergistic Machine Learning Accelerated Discovery of Nanoporous Inorganic Crystals as Non-Absorbable Oral Drugs.

Advanced materials (Deerfield Beach, Fla.) Jun 6, 2024
Machine learning (ML) has taken drug discovery to new heights, where effective ML training requires vast quantities of high-quality experimental data as input. Non-absorbable oral drugs (NODs) have unique safety advantage for chronic diseases due to ...
Machine Learning Potassium Administration, Oral Animals Zeolites Drug Discovery Nanopores Mice
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Oral anticoagulant treatment in atrial fibrillation: the AFIRMA real-world study using natural language processing and machine learning.

Revista clinica espanola Jun 5, 2024
INTRODUCTION: Oral anticoagulation (OAC) is key in atrial fibrillation (AF) thromboprophylaxis, but Spain lacks substantial real-world evidence. We aimed to analyze the prevalence, clinical characteristics, and treatment patterns among patients with ...
Atrial Fibrillation Spain Natural Language Processing Anticoagulants Administration, Oral Machine Learning Retrospective Studies Female Male Middle Aged Humans Aged Aged, 80 and over
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Pleiotropic Effects of Direct Oral Anticoagulants in Chronic Heart Failure and Atrial Fibrillation: Machine Learning Analysis.

Molecules (Basel, Switzerland) Jun 4, 2024
Oral anticoagulant therapy (OAT) for managing atrial fibrillation (AF) encompasses vitamin K antagonists (VKAs, such as warfarin), which was the mainstay of anticoagulation therapy before 2010, and direct-acting oral anticoagulants (DOACs, namely dab...
Female Aged Male Chronic Disease Humans Machine Learning Administration, Oral Atrial Fibrillation Anticoagulants Warfarin Heart Failure
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A novel support vector machine-based 1-day, single-dose prediction model of genotoxic hepatocarcinogenicity in rats.

Archives of toxicology May 18, 2024
The development of a rapid and accurate model for determining the genotoxicity and carcinogenicity of chemicals is crucial for effective cancer risk assessment. This study aims to develop a 1-day, single-dose model for identifying genotoxic hepatocar...
Male Risk Assessment Gene Expression Profiling Rats Support Vector Machine Liver Reproducibility of Results Animals Administration, Oral Carcinogens Mutagens Carcinogenicity Tests Oligonucleotide Array Sequence Analysis
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Biomimetic piezoelectric nanomaterial-modified oral microrobots for targeted catalytic and immunotherapy of colorectal cancer.

Science advances May 8, 2024
Lactic acid (LA) accumulation in the tumor microenvironment poses notable challenges to effective tumor immunotherapy. Here, an intelligent tumor treatment microrobot based on the unique physiological structure and metabolic characteristics of (VA) ...
Nanotubes Barium Compounds Veillonella Lactic Acid Colorectal Neoplasms Cell Membrane Tumor Microenvironment Titanium Biomimetic Materials Cell Line, Tumor Immunosuppression Therapy Robotics Administration, Oral Humans Catalysis Staphylococcus aureus Oxidation-Reduction
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A comprehensive assessment of machine learning algorithms for enhanced characterization and prediction in orodispersible film development.

International journal of pharmaceutics May 3, 2024
Orodispersible films (ODFs) have emerged as innovative pharmaceutical dosage forms, offering patient-specific treatment through adjustable dosing and the combination of diverse active ingredients. This expanding field generates vast datasets, requiri...
Pharmaceutical Preparations Administration, Oral Chemistry, Pharmaceutical Pilot Projects Drug Development Support Vector Machine Dosage Forms Machine Learning Algorithms Drug Delivery Systems
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In Silico Prediction of Oral Acute Rodent Toxicity Using Consensus Machine Learning.

Journal of chemical information and modeling Mar 18, 2024
Acute oral toxicity (AOT) is required for the classification and labeling of chemicals according to the global harmonized system (GHS). Acute oral toxicity studies are optimized to minimize the use of animals. However, with the advent of the three p...
Machine Learning Rodentia Computer Simulation Animals Rats Mice Administration, Oral Toxicity Tests, Acute
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Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning.

Nature communications Jan 13, 2024
Antimicrobial resistance (AMR) and healthcare associated infections pose a significant threat globally. One key prevention strategy is to follow antimicrobial stewardship practices, in particular, to maximise targeted oral therapy and reduce the use ...
Humans Machine Learning Anti-Bacterial Agents Decision Making Administration, Oral Administration, Intravenous
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Improving on in-silico prediction of oral drug bioavailability.

Expert opinion on drug metabolism & toxicology Oct 27, 2023
INTRODUCTION: Although significant development has been made in high-throughput screening of oral drug absorption and oral bioavailability, prediction continues to play an important role in prediction of oral bioavailability and assisting in the pro...
Administration, Oral Biological Availability Reproducibility of Results Humans Pharmaceutical Preparations Artificial Intelligence Models, Biological Computer Simulation
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Towards multifunctional robotic pills.

Nature biomedical engineering Sep 18, 2023
Robotic pills leverage the advantages of oral pharmaceutical formulations-in particular, convenient encapsulation, high loading capacity, ease of manufacturing and high patient compliance-as well as the multifunctionality, increasing miniaturization ...
Humans Equipment Design Administration, Oral Drug Delivery Systems Microinjections Animals Robotics
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