AI in healthcare can sharpen prognosis and monitoring, but the real story is the safety of the data, models, and human oversight that sit between a patient and a clinical recommendation.
Artificial intelligence is moving through the pharmaceutical lifecycle, from molecule discovery to production and predictive medicine, but the security challenge is now about data integrity, validated outputs, and controlled decision-making.
A new mathematical model is rewriting our understanding of neurodegeneration-revealing hidden warning signs and offering a glimpse into the future of personalized brain health.