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 Knowledge graphs as a heterogeneous data store Analysis of knowledge graphs Graph RAG Graph neural networks Understanding complex biological mechanisms of action (MoA) for drugs and diseases is crucial for effective ORC prioritization and target identification. MIDAAS, our Multi-modal Integrated Data, Analytics & Agentic System, leverages GenAI-powered multi-agent systems to enhance this biological understanding. […]
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 & […]
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 […]
