With the rapid adoption of big data, advanced analytics and AI-driven models, model risk management frameworks must evolve to address an increasingly complex risk landscape. In this course, ...

Machine learning model improves transplant risk assessment for patients with myelofibrosis, helping clinicians make informed ...

Financial decision-making is undergoing a transformation, thanks to artificial intelligence (AI) and its rapid advancements in predictive modeling. Iswarya Konasani, an expert in AI-driven risk ...

4. Government and industry play critical roles in risk assessment and regulation. Toxicological and epidemiological data and safety information must be accessible to regulators to assure safe use and ...