Dr. Mobley drew me in [the Pharmacological Sciences PhD program] with the idea of screening compounds with automation and using computational methods to accelerate drug discovery.

Oxford University to lead a new national programme of AI research to improve lung cancer screening

Artificial Intelligence is rapidly becoming the default in modern drug design. We seek to develop new methods and applications to invent new pharmaceuticals initially for applications in anti-ageing.

Learn how Artificial Intelligence (AI) can have a transformative effect on biomedicine and healthcare, through a unique interdisciplinary programme. This MSc enables you to develop complex technical skills and use them to craft forward-thinking biomedical and healthcare solutions powered by AI. Taught at UCL, an international home of AI breakthroughs and medical excellence, graduates of this programme will be equipped with sought-after specialist skills, ideal for a rapidly growing sector.

Applications of Artificial Intelligence (AI) tools in the biosciences are rapidly expanding and bioscientists skilled in the methods and thinking in AI are in short supply. This programme aims to prepare bioscience graduates to become leaders in the application of AI methods in professional bioscience Research and Development workplace environments. It has been specifically designed to make AI and related computational techniques (machine learning, analysis of large data sets) accessible to biology and biomedical graduate students without any prior experience in computational methods.

The module aims to provide the theoretical background and underpinning to the practical session. In the laboratory, students apply the principles of planning automation, CAM/CNC, programming logic controllers, robotics, sensors, pneumatics and mechatronics.

Gain insight into the latest biotechnology discoveries and trends. Develop a solid foundation in research and innovation.

The program also includes Advanced Cell and Molecular Biology and Genetic Engineering courses, both with labs. Students can further enhance their research and analytical skills by registering for a Guided Study course. Taking two such courses will enable students to complete a body of research work equivalent to a master's thesis (optional). Students can also take a business- or management-related course from Biotechnology and Entrepreneurship M.S.

AI and machine learning have the potential to truly revolutionise the delivery of healthcare, to the great benefit of patients, clinicians and the wider medical ecosystem.

Chemoinformatics is a rapidly-evolving field at the intersection of chemistry and computer sciences. As such, it concerns the application of informatics methods to solve chemical problems and its specific methods have become an essential part of the development of new compounds, materials, and processes

Bringing together experts in AI, diabetes-related healthcare and science, this workshop will explore challenges and opportunities for cross-disciplinary research across Surrey and beyond, aiming towards a better life for people with diabetes.

Learn how to identify and develop targeted treatments for some of the world’s most challenging diseases. You will learn about key aspects of the drug discovery journey, from target identification, through drug synthesis and biological evaluation, all the way to considering intellectual property and clinical treatment.