Innovative methods and technologies
AI, Data Analysis and Data Mining AI, data analytics and data/text mining are revolutionizing the development of therapies by enabling faster drug discovery, personalized treatments and early detection of diseases. However, their implementation is complicated by issues such as data privacy, biases in algorithms and the need for high-quality datasets. As the field rapidly evolves, researchers and regulators must continually adapt to ensure ethical, effective and reliable advances in medical therapies. Real-World Data and Learning Health Systems Real-world data (RWD) and learning health systems help improve drug development by using real patient experiences to refine therapies and improve decision-making. They enable personalized medicine, smarter clinical trials and continuous improvements in health care. However, challenges, such as data accuracy, privacy and system compatibility, are still to be resolved to realize their full potential. Innovative Screening Methods Innovative screening methods, such as high-throughput screening, organ-on-a-chip and AI-driven simulations, are accelerating drug development by identifying promising compounds more quickly and accurately. These technologies reduce reliance on traditional animal testing and improve predictions of human responses. However, challenges such as high cost, technical complexity and regulatory acceptance must be addressed to fully integrate these methods into mainstream drug discovery.
