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NRPminer: A machine learning algorithm that explores nature to discover new drugs

Researchers have developed a machine learning algorithm, called NRPminer, that makes it easier for scientists to develop drugs from natural […]

Drug-Drug Interaction Algorithms – An Evaluation

A recent study developed, validated and evaluated drug-drug interaction algorithms that alert clinicians to potentially harmful interactions, which take advantage […]

Machine learning algorithm detects opioid addiction early

Opioid use disorder can lead to clinically significant impairment or distress. Researchers have now used machine learning to develop a prediction […]

Challenges for ML algorithms in COVID-19 drug screening

AI Cures, the newly-conceived contribution of MIT J-Clinic to COVID-19 research, aims to develop machine learning methods to discover antiviral […]

Predicting the success of COVID-19 clinical trials

Using machine learning algorithms and ensemble learning, researchers have modelled the factors underlying the completion or cessation of COVID-19 clinical […]

AlphaFold predicts protein structure with near-experimental accuracy

AlphaFold, an attention-based neural network recently developed by Google AI, predicts 3D protein structure from its amino acid sequence with […]

Predicting FDA approval using artificial intelligence

Researchers from the University of California San Diego School of Medicine have described a new approach that uses artificial intelligence […]

New diagnostic tool for Alzheimer’s could improve drug trial recruitment

Researchers at Lund University in Sweden have developed an algorithm that combines data from simple blood tests and brief memory […]

Predicting biomarkers for immunotherapy response using machine learning

The complex nature of the tumour microenvironment poses a great challenge for the extraction of biomarkers of immune response and […]

Cell death detection using a convolutional neural network (CNN) aids drug development

A team of researchers have created a convolutional neural network (CNN) that is able to accurately classify cell death and […]