The integration of Artificial Intelligence (AI) and Machine Learning (ML) in clinical trial statistical programming has ...

The process approach looks at utilizing ... The two main objectives of data manager roles within clinical trials are to ensure data quality and data integrity. JS: SOPs need to be well structured.

While patient clinical data and metadata are now being ... “We’ve found AI to be extremely useful to accelerate this process by using data in our own chemical database as well as global ...

Applications for Clinical Data Engineering (September 2024 start) and Maths, Stats and Machine Learning (November 2024 start) are now closed. The deadlines for applications for Data Visualisation and ...

Develop your own data-based solutions to clinical problems. Learn to work and communicate better with data centric professionals on digital transformation and research projects. Develop fundamental ...

Life Sciences Digital Transformation Expert The life sciences industry is undergoing a technological revolution, with ...

Nishit Agarwal exemplifies excellence in Biomedical AI and Signal Processing with extensive experience in developing cutting-edge clinical AI solutions and biomarker development. His expertise ...