AI in Healthcare

Today's Stories

1. 1

   Medical robots & AI take center stage at London festival debate

   A live podcast recording at the Great Exhibition Road Festival in London brought together three leading UK academic researchers—George Mylonas (Imperial College London), Antonia Tzemanaki (University of Bristol), and Tom Vercauteren (King's College London)—to discuss robotics and AI in medicine and healthcare, more than 40 years after the first robot-assisted surgery. As medical tools become increasingly autonomous, the conversation addresses critical questions about ethics, regulation of technologies that can learn and change over time, and fair access to cutting-edge medical devices. These concerns directly shape how hospitals and healthcare systems can safely adopt and deploy new surgical and diagnostic tools.

   The researchers cover a range of surgical applications—from robotic needle steering and tumor detection to rehabilitation and wearable robotics for physical therapy. Tom Vercauteren's spin-out company, Hypervision Surgical, already has its optical imaging technology in use across hundreds of hospitals worldwide, showing one path from research to clinical practice.

2. 2

   How FDA Clearance of AI Opioid-Respiratory Monitoring Could Shape Danaher’s (DHR) Clinical Data Advantage

   How FDA Clearance of AI Opioid-Respiratory Monitoring Could Shape Danaher’s (DHR) Clinical Data Advantage

3. 3

   Stanford researchers will discuss their agentic 'scientists' that are on course to reshape drug discovery at VB Transform 2026

   Stanford researchers will discuss their agentic 'scientists' that are on course to reshape drug discovery at VB Transform 2026

4. 4

   AWS shows how to build multi-tenant AI agents safely

   AWS published a blog post demonstrating how to build multi-tenant AI applications using Amazon Bedrock AgentCore, with a healthcare example that implements two service tiers—Basic (using Mistral Ministral 3 8B Instruct for small clinics) and Premium (using OpenAI GPT OSS 120B with web search for hospitals and specialty centers). Multi-tenant AI systems face real operational risks: customer data exposure, inconsistent service quality across pricing tiers, and hidden cost overruns. This post addresses those challenges by showing how to enforce complete tenant isolation through document scoping, memory separation, model access control, and granular cost attribution—all without building custom isolation infrastructure.

   The solution uses a pool model where tenants share underlying compute resources (rather than dedicated silos), maximizing efficiency while maintaining logical isolation through scoped identifiers, access policies, and data partitioning. Sample code is available on GitHub at https://github.com/aws-samples/sample-agentcore-and-multitenancy-blog.

5. 5

   Insilico Medicine, SK Biopharmaceuticals strike $2.5B AI drug discovery deal targeting neuroimmune therapies

   Insilico Medicine, SK Biopharmaceuticals strike $2.5B AI drug discovery deal targeting neuroimmune therapies

6. 6

   Thermo Fisher Scientific Showcases New Capabilities Across Manufacturing, Clinical Development and AI-Enabled Research at BIO International 2026

   Thermo Fisher Scientific Showcases New Capabilities Across Manufacturing, Clinical Development and AI-Enabled Research at BIO International 2026