A newly FDA-cleared AI system marks a major milestone in the use of real-time artificial intelligence for early sepsis detection in hospitals. This article explores how continuous AI monitoring, machine learning, and personalised medicine could transform critical care while highlighting the scientific, clinical, and regulatory challenges that still remain
How a failing device implanted in 1958 set in motion a revolution that is now restoring speech, movement, and vision through electronics wired directly to the brain.
In 2005, a bug in World of Warcraft accidentally unleashed a virtual epidemic known as the Corrupted Blood incident. The event revealed how human behavior—panic, altruism, and defiance—shapes disease spread, offering researchers an unexpected glimpse into epidemic dynamics.
From brain cancer to neurodegeneration, researchers are building computational “metabolic twins” that reveal how diseases work and how to treat them with precision
Could in silico medicine make healthcare equally precise for all?
How hybrid AI models, grounded in physics, enable explainability and trustworthy prediction, at lightning speed.
AI is transforming healthcare but, beyond the hype, real progress lies in collaboration, not competition.
The promise of artificial intelligence in global health is grand — but will it deliver for the many, or just the privileged few?
Turning models into action: to face future crises, in silico tools must be timely, transparent, and trusted.
Despite progress, breast cancer remains deadly worldwide. AI now offers new tools for earlier detection and improved survival.
How models allowed to speed up COVID-19 research—optimising vaccines, testing therapies, and simulating immune responses.
A decade after Angelina Jolie’s op-ed, in silico tools like CancerMate are advancing personalised breast cancer treatment predictions.
