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The role of artificial intelligence (AI) and big data in drug discovery

For the first time, a review explored in depth how big data and artificial intelligence (AI) techniques are currently being […]

Using machine learning to model the fitness of cancer cells and predict drug resistance

Recently, researchers have developed a machine learning approach that can predict the fitness trajectories of cancer cells in response to […]

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 […]

Ivermectin as a potential drug for treatment of COVID-19.

Numerous datasets from historic clinical trials are being reviewed in the hope that existing drugs, that have already been cleared […]

Reducing False Positive Drug Target Predictions

Target prediction with machine learning algorithms can help accelerate the identification of protein targets of hit molecules, limiting the number […]

Identifying Adverse Drug Reaction Mechanisms

A recent article proposed the mining of knowledge graphs to identify biomolecular adverse drug reaction mechanisms, which at present largely […]

Discovery of Candidate Antibody-Drug Conjugate Targets

A recent study used the Human Protein Atlas as a unique big data resource to identify and prioritise candidate antibody-drug […]

Identifying Drug Repurposing Candidates for COVID-19 Using Drug-Wide Association Studies

A recent study carried out a systematic evaluation of the drugs available in electronic health record data, including prescription drugs […]

Emerging AI/ML Technologies for Drug Discovery

It is widely known that the traditional drug discovery and development process is extremely time-consuming, expensive and challenging; taking an […]

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 […]