AIMC Topic: Drug Discovery

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Explainable Artificial Intelligence in the Field of Drug Research.

Drug design, development and therapy Jan 1, 2025
In recent years, the widespread use of artificial intelligence (AI) and big data technologies in drug research has significantly accelerated the drug development process. However, their black-box nature makes it challenging to evaluate their effectiv...
Humans Artificial Intelligence Drug Development Medicine, Chinese Traditional Pharmaceutical Research Drug Discovery Big Data
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[The role of vendors in the democratization of AI-challenges and collaboration in the application of image analysis technology to drug discovery processes].

Nihon yakurigaku zasshi. Folia pharmacologica Japonica Jan 1, 2025
We are living in an era in which AI technology has become widely available and accessible to many people. The field of drug discovery is no exception, and many pharmaceutical companies have actually begun to utilize AI technology in drug discovery re...
Drug Discovery Humans Image Processing, Computer-Assisted Artificial Intelligence
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[Development of drug discovery support system using chemoinformatics and generative AI technology].

Nihon yakurigaku zasshi. Folia pharmacologica Japonica Jan 1, 2025
In recent years, the rapid development of generative AI has given rise to a variety of services such as machine translation, sentence summarization, and programming code generation. In drug discovery, generative AI and chemoinformatics have been used...
Humans Drug Discovery Artificial Intelligence Cheminformatics
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Role of Artificial Intelligence in Drug Discovery to Revolutionize the Pharmaceutical Industry: Resources, Methods and Applications.

Recent patents on biotechnology Jan 1, 2025
Traditional drug discovery methods such as wet-lab testing, validations, and synthetic techniques are time-consuming and expensive. Artificial Intelligence (AI) approaches have progressed to the point where they can have a significant impact on the d...
Drug Discovery Drug Development Drug Industry Humans Patents as Topic Artificial Intelligence
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Integrating Model-Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation.

Clinical and translational science Jan 1, 2025
The pharmaceutical industry constantly strives to improve drug development processes to reduce costs, increase efficiencies, and enhance therapeutic outcomes for patients. Model-Informed Drug Development (MIDD) uses mathematical models to simulate in...
Drug Industry Models, Theoretical Drug Development Algorithms Drug Discovery Humans Artificial Intelligence
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AI Methods for Antimicrobial Peptides: Progress and Challenges.

Microbial biotechnology Jan 1, 2025
Antimicrobial peptides (AMPs) are promising candidates to combat multidrug-resistant pathogens. However, the high cost of extensive wet-lab screening has made AI methods for identifying and designing AMPs increasingly important, with machine learning...
Humans Neural Networks, Computer Artificial Intelligence Deep Learning Mice Antimicrobial Peptides Machine Learning Animals Anti-Infective Agents Drug Discovery
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Trends of Artificial Intelligence (AI) Use in Drug Targets, Discovery and Development: Current Status and Future Perspectives.

Current drug targets Jan 1, 2025
The applications of artificial intelligence (AI) in pharmaceutical sectors have advanced drug discovery and development methods. AI has been applied in virtual drug design, molecule synthesis, advanced research, various screening methods, and decisio...
Drug Industry Drug Discovery Drug Development Artificial Intelligence Drug Design Humans
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ML-based Models as a Strategy to Discover Novel Antiepileptic Drugs Targeting Sodium Receptor Channel.

Current topics in medicinal chemistry Jan 1, 2025
BACKGROUND: Epilepsy remains the most common and chronic disorder demanding longterm management. The impact of epilepsy disease is a cause of great concern and has resulted in efforts to develop treatment for epilepsy. It occurs due to an increase in...
NAV1.7 Voltage-Gated Sodium Channel Epilepsy Anticonvulsants Humans Machine Learning Drug Discovery
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Machine Learning in Early Prediction of Metabolism of Drugs.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2025
Machine learning (ML) has increasingly been applied to predict properties of drugs. Particularly, metabolism can be predicted with ML methods, which can be exploited during drug discovery and development. The prediction of metabolism is a crucial bot...
Humans Animals Drug Discovery Machine Learning Computer Simulation Drug Development Biotransformation Pharmaceutical Preparations
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Big Data and Artificial Intelligence in Drug Discovery for Gastric Cancer: Current Applications and Future Perspectives.

Current medicinal chemistry Jan 1, 2025
Gastric cancer (GC) represents a significant global health burden, ranking as the fifth most common malignancy and the fourth leading cause of cancer-related death worldwide. Despite recent advancements in GC treatment, the five-year survival rate fo...
Artificial Intelligence Algorithms Antineoplastic Agents Stomach Neoplasms Big Data Drug Discovery Humans
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