With the emergence of more digital health technologies in recent years, artificial intelligence (AI) has rapidly expanded in healthcare for a range of applications including handling of administrative logistics at hospitals and other medical facilities, assessment of patient health data, and analysis of novel molecules in drug discovery. AI applications are also helping to provide a better understanding of disease progression, leading to improvements in diagnosis, monitoring, and treatment of specific diseases and conditions. Multiple sclerosis (MS) is one disease area where AI is providing benefit to physicians and patients. Given the unknown cause and the lack of reliable biomarkers, MS presents significant challenges in diagnosis and treatment. Several companies are incorporating AI solutions into their drug development and commercialization strategies to address these challenges.
Patient burden associated with acute & chronic resistant infections
Inspiring stakeholders to take action on antimicrobial resistance (AMR) starts with communicating the current and future burden of...