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- AI Stack Weekly #3: Lilly Bets $2.75B That AI Drug Discovery Is Ready for Prime Time
Eli Lilly signs the largest AI drug discovery deal in pharma history. Google drops Gemma 4 under Apache 2.0. Tennessee bans AI therapy bots. Here are the 5 healthcare AI developments that matter this week. - Designing a GLP-1 Clinical Trial in 2026: What the Pipeline Data Tells Us About Protocol Strategy
GLP-1 receptor agonists have moved beyond diabetes and obesity. With 34 active pipeline candidates spanning 14 therapeutic indications — from Alzheimer’s to addiction to autoimmune disease — protocol designers are facing a set of challenges that didn’t exist 18 months ago. We analyzed the full GLP-1 trial landscape using data from ClinicalTrials.gov, openFDA, and PubMed… - AI Stack Weekly #2: Hospitals Bet $125M That AI Governance Is Infrastructure, Not a Pilot
Qualified Health raises $125M for hospital AI governance, Heidi Health hits 2M consults/week, Mindpeak brings AI consistency to clinical trial pathology, and NVIDIA releases open surgical AI infrastructure. - Thermo Fisher Is Embedding AI Across Its Clinical Trials Business — Here’s Why It Matters
The contract research organization (CRO) landscape is shifting. Thermo Fisher Scientific, one of the largest players in clinical research with over $40 billion in annual revenue, is integrating AI directly into its drug development operations through a collaboration with OpenAI. This isn’t a pilot program or a proof of concept. Thermo Fisher is embedding AI… - How Healthcare Teams Can Use AI to Create Better Ad Creatives — Without a Design Team
Clinical trial recruitment, patient outreach, conference promotion — every healthcare organization needs compelling ad creatives. Most don’t have a design team to make them. AI is changing that equation fast. The Healthcare Marketing Problem Nobody Talks About If you’ve ever worked in a hospital system, CRO, diagnostic lab, or specialty clinic, you already know the… - 3 AI Tools Every Radiologist Should Know in 2026
Discover the 3 AI tools transforming radiology workflows in 2026 — from automated reporting to autonomous chest X-ray screening. Save time, reduce burnout, and improve diagnostic accuracy. - Microsoft Copilot Health: What Clinicians Need to Know Before Patients Know More Than You Do
Microsoft just built the consumer-facing intelligence layer on top of your patients’ clinical data. Here’s what it does, what it gets wrong, and how to prepare for the exam-room conversation that’s coming. Part of the AI-Powered Clinical Workflow series · Estimated reading time: 10 minutes Your next patient may walk into the exam room with… - The AI Meeting Stack That Gives Clinicians 5 Hours Back Every Week
How four affordable tools turn clinical meetings, patient handoffs, and care-team huddles into searchable, structured knowledge — automatically. Part of the AI-Powered Clinical Workflow series · Estimated reading time: 9 minutes If you work in healthcare, meetings are not optional. Morning huddles, multidisciplinary team rounds, discharge-planning calls, peer-review sessions, vendor demos — the list never… - AI Stack Weekly — March 19, 2026: Microsoft Copilot Health, On-Premises AI, and the First Clinician-AI RCT
Healthcare AIMicrosoft CopilotClinical ResearchOn-Premises AIAI Stack Weekly AI Stack Weekly — March 19, 2026 The healthcare AI tools, research, and infrastructure moves that matter this week. Microsoft Just Made Every Patient’s Phone a Health Data Hub The biggest infrastructure move in consumer health AI dropped this month, and it’s not from a startup — it’s… - From 200 Papers to a Structured Evidence Table — In Hours, Not Weeks
How AI systematic review tools can compress months of literature screening into hours — from 200 papers to a structured evidence table with a practical, honest workflow
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