Artificial Intelligence and Data Analytics
Drugs in Space: How Extraterrestrial Experiments Help Us Develop Medicine
Fundamental scientific research has been conducted in space for many years, and more recently, pharma hopes to use this for drug development.
Utilising Machine Learning in Drug Discovery: Opportunities and Challenges
Machine learning, a branch of AI, is making a mark in the pharmaceutical industry, contributing to exciting innovations drug discovery.
Machine Learning Data Analysis: Applications Across Immunology, Oncology and Diabetes
Research across the life sciences is utilising machine learning approaches to optimise data analysis: predicting diabetes cases for example.
The Great Debate: The Utilisation of True AI in All Aspects of Drug Discovery
The keynote of Proventa’s MedChem and Biology Strategy Meeting, with Gilead’s Uli Schmitz, focused on the utilisation of AI in drug discovery.
Innovations in AI Risk-Based Monitoring in Clinical Research
Risk-based monitoring (RBM) is a useful tool in maximising the quality of clinical trials. The application of AI has shown potential in RBM.
The Impact of Modern Technology on Clinical Operations
The modernisation of clinical trials is an important part of accelerating drug approval. New innovation, such as AI, offer hope.
