In the life sciences field, AI can play a pivotal role across the value chain, and there are several use cases globally. In ‘drug discovery and development’, it can help in achieving higher efficiency and success rate at a lower cost. In the ‘manufacturing and supply chain function’, AI can drive agility, efficiency, resilience, and intelligence in the. In drug ‘commercialization and marketing, Generative AI (GenAI) can bring in personalization and improve the experience.

In the realm of healthcare, AI-driven technologies can help in improving patient experience and outcomes across the patient life cycle. Medical imaging, such as X-rays, MRIs, and CT scans, can be analyzed with exceptional precision using AI algorithms, enabling early detection and accurate diagnosis of various conditions, from cancer to cardiovascular diseases. AI-driven decision support systems can help healthcare providers in providing personalized care to patients and reduce medical errors. GenAI can be used to model patient disease progression and generated patient-specific treatment plans.