AIMC Topic: Drug Development

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The application of machine learning techniques to innovative antibacterial discovery and development.

Expert opinion on drug discovery Jun 17, 2020
INTRODUCTION: After the initial wave of antibiotic discovery, few novel classes of antibiotics have emerged, with the latest dating back to the 1980's. Furthermore, the pace of antibiotic drug discovery is unable to keep up with the increasing preval...
Humans Machine Learning Animals Drug Design Drug Discovery Drug Development Algorithms Anti-Bacterial Agents Drug Resistance, Bacterial
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Leading a Digital Transformation in the Pharmaceutical Industry: Reimagining the Way We Work in Global Drug Development.

Clinical pharmacology and therapeutics May 30, 2020
We are experiencing seminal times in computing that seem to define a fourth industrial revolution. This may fundamentally change the way we live, work, and relate to one another. Embracing data and digital information is a top priority for most indus...
Global Health Drug Development Diffusion of Innovation Digital Technology Humans Artificial Intelligence Machine Learning Operations Research Drug Industry Systems Integration Organizational Innovation
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The emerging roles of artificial intelligence in cancer drug development and precision therapy.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie May 20, 2020
Artificial intelligence (AI) has strong logical reasoning ability and independent learning ability, which can simulate the thinking process of the human brain. AI technologies such as machine learning can profoundly optimize the existing mode of anti...
Drug Development Drug Resistance, Neoplasm Molecular Targeted Therapy Radiotherapy, Computer-Assisted Immunotherapy Antigens, Neoplasm Signal Transduction Humans Artificial Intelligence Precision Medicine Neoplasms Antineoplastic Agents Clinical Decision-Making Animals
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Machine Learning Systems Applied to Health Data and System.

European journal of health law May 19, 2020
The use of machine learning (ML) in medicine is becoming increasingly fundamental to analyse complex problems by discovering associations among different types of information and to generate knowledge for medical decision support. Many regulatory and...
Medical Informatics Precision Medicine Medical Device Legislation Trust Humans Confidentiality Machine Learning Drug Discovery Malpractice Software Risk Management Drug Development Safety Bias Decision Making
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Artificial intelligence and machine learning to fight COVID-19.

Physiological genomics Mar 27, 2020
Disease Susceptibility Betacoronavirus Pneumonia, Viral Drug Repositioning Coronavirus Infections Machine Learning COVID-19 Drug Treatment Pandemics COVID-19 Humans COVID-19 Vaccines SARS-CoV-2 Artificial Intelligence Drug Development Viral Vaccines
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A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network.

BMC medical informatics and decision making Mar 18, 2020
BACKGROUND: The key to modern drug discovery is to find, identify and prepare drug molecular targets. However, due to the influence of throughput, precision and cost, traditional experimental methods are difficult to be widely used to infer these pot...
Principal Component Analysis Drug Development Humans Pharmaceutical Preparations Proteins Neural Networks, Computer Deep Learning
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Machine learning models for drug-target interactions: current knowledge and future directions.

Drug discovery today Mar 12, 2020
Predicting the binding affinity between compounds and proteins with reasonable accuracy is crucial in drug discovery. Computational prediction of binding affinity between compounds and targets greatly enhances the probability of finding lead compound...
Drug Discovery Deep Learning Humans Computational Biology Proteins Drug Development Ligands Machine Learning Drug Delivery Systems
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Machine Learning in Drug Discovery and Development Part 1: A Primer.

CPT: pharmacometrics & systems pharmacology Mar 11, 2020
Artificial intelligence, in particular machine learning (ML), has emerged as a key promising pillar to overcome the high failure rate in drug development. Here, we present a primer on the ML algorithms most commonly used in drug discovery and develop...
Drug Approval History, 20th Century Models, Theoretical Drug Development Predictive Value of Tests Artificial Intelligence Machine Learning Algorithms Drug Discovery Humans
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A Machine Learning Approach for Drug-target Interaction Prediction using Wrapper Feature Selection and Class Balancing.

Molecular informatics Feb 11, 2020
Drug-Target interaction (DTI) plays a crucial role in drug discovery, drug repositioning and understanding the drug side effects which helps to identify new therapeutic profiles for various diseases. However, the exponential growth in the genomic and...
Algorithms Computer Simulation Drug Discovery Receptors, G-Protein-Coupled Pharmaceutical Preparations Drug Development Databases, Protein Enzymes Ion Channels Amino Acid Sequence Machine Learning Databases, Chemical Receptors, Cytoplasmic and Nuclear
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Machine Learning for Cancer Drug Combination.

Clinical pharmacology and therapeutics Feb 11, 2020
When treating multiple complex diseases, such as cancer, polytherapy may demonstrate efficiency than monotherapy. However, due to the multiplicative relationship between the number of drugs and cell lines vs. the number of combinations, it is impract...
Computer Simulation Humans Antineoplastic Combined Chemotherapy Protocols Machine Learning Drug Development Forecasting
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