The online “Pharma and Life Sciences AI/ML Training Program” comprises of 9 sessions and has been developed with the expertise of academics and industry professionals. The training is designed to equip professionals with cutting-edge knowledge and skills in the application of Artificial Intelligence (AI) and Machine Learning (ML) to the pharmaceutical and life sciences industries. […]
Agenda Automating Drug Development via AI and 3D Printing NLP in Drug Development Speaker Prof. Moe Elbadawi, Queen Mary University For details of our full Pharma and Life Science AI/ML Training Program and how to register, please click here.
GenAI shows promise in drug discovery, but cutting through the noise to understand where it’s truly making an impact can be difficult. This webinar will focus on how genAI is being applied in practical ways today, from designing novel molecules to predicting toxicity and extracting knowledge from complex datasets. Asha Mahesh from Johnson & […]
AI/ML is ubiquitous across the pharma industry, at least as a label. Do all AI/ML activities actually represent artificial intelligence? We will first frame AI and ML separately, and describe why we might want one or the other. With a definition in place, we will highlgiht examples of ML/AI applications across the entire drug discovery […]
In the preclinical development phase of drug discovery, timely access to relevant historical data can directly impact decision-making, regulatory timelines and study design. Yet, most pharmaceutical organizations still rely on scattered systems and manual workflows to extract insights from vast volumes of structured and unstructured study data. In this webinar, we present PRINCE—Bayer’s innovative […]
