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Building a Resilient Healthcare AI Strategy: Insights from Industry Leaders
Healthcare leaders are developing AI governance frameworks to balance innovation with patient safety, security, and regulatory compliance.
Pharma AI Alliance Expands: Owkin and AstraZeneca Deploy New Drug Discovery Models
Owkin and AstraZeneca are expanding their AI collaboration to develop new drug discovery models using federated learning, a technique that…
Gene Editing Breakthroughs and AI Risks: A Health Sector View of 2026’s Defining Tech
The 2026 MIT Technology Review list highlights a first-in-human personalized gene editing trial that will reshape pharmaceutical workflows and force…
Bridging the Gap Between AI Adoption and HIPAA Compliance
Modern AI tools can reidentify patients by cross matching data fragments, requiring healthcare staff to learn new deidentification and prompt…
Pennsylvania Targets AI Chatbots That Pose as Licensed Doctors
Pennsylvania regulators argue that AI chatbots mimicking psychiatrists and other doctors violate state medical licensing laws and pose direct risks…
AIMed 2026: Bridging the Gap Between AI Promise and Clinical Reality in Kraków
AIMed 2026 brought together leading clinicians, researchers, and regulators in Kraków to tackle the central challenge of modern healthcare AI…
Cleveland Clinic’s First AI Summit Signals Bold Future for Healthcare
More than 650 medical professionals gathered at Cleveland Clinic’s inaugural AI Summit.
New AI model detects brain tumors with 99% accuracy—no scalpel needed
A neural network model accurately classifies brain tumors using non-invasive genetic data, enabling faster and safer cancer diagnosis.