🫁 AI Lung Drug Breakthrough: First AI-Created Medicine : Issue #52

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AIHealthTech Insider: Issue #52

June 9, 2025

This issue unveils groundbreaking innovations transforming lives: from an AI-discovered lung drug boosting function in IPF trials to autonomous AI agents revolutionizing cancer care. Discover how ChatGPT accelerates rare disease diagnoses, Skriber slashes doctor burnout, and futuristic AI ear implants redefine health tracking. Vote in our poll to pick the coolest ear implant and dive into a new era of faster, smarter, and more personalized medicine.

AI-Discovered Lung Drug Boosts Function in IPF Trials

📍 First-in-human trial to test a drug and target discovered entirely by AI.

In a breakthrough phase 2a trial, scientists tested rentosertib, the first AI-discovered TNIK inhibitor, in patients with idiopathic pulmonary fibrosis (IPF)—and the results are promising.Developed using generative AI by Insilico Medicine, rentosertib improved lung function, reduced fibrosis biomarkers, and showed a strong safety profile over 12 weeks of testing.

Key Details:

• Rentosertib was created in under 18 months using generative AI.

• Patients on 60mg saw an average +98.4ml FVC increase vs -20.3ml in placebo.

• Treatment-related serious adverse events were rare across all groups.

• Fibrosis-linked proteins like COL1A1, FAP, FN1 decreased significantly.

• Entire preclinical to phase 2a timeline completed in under 30 months.

Why It Matters:

IPF is a deadly, age-related lung disease with no known cure. Standard treatments only slow decline. This trial signals a new AI-first era of drug development—where not only compounds but also the targets themselves are machine-identified, slashing development time and expanding treatment options.

Source 👉: Nature Medicine | AI-discovered TNIK Inhibitor for IPF

AI Accelerates Rare Disease Diagnosis with Minimal Training

Researchers at Vanderbilt University Medical Center have shown that AI tools like ChatGPT can rapidly extract critical medical insights from patient records — potentially slashing the time it takes to diagnose rare diseases.

Key details:

• ChatGPT extracted clinical signs and disease features with minimal dataset prep

• Outperformed traditional models in rare disease and symptom recognition

• Cuts down the need for costly, manual review by medical experts

• Promising for under-resourced healthcare centers with limited AI infrastructure

Why It Matters:

More than 300 million people globally live with rare diseases, yet many face years of diagnostic delays. By automating phenotyping and surfacing hidden patterns in unstructured medical data, ChatGPT offers a faster, more accessible path to answers — and to care.

Source 👉: AI Automation Could Accelerate Diagnosis of Rare Diseases | Vanderbilt University Medical Center

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Skriber AI: Transforming EMR Documentation with AI-Powered Automation

Electronic Medical Records (EMRs) were designed to streamline healthcare documentation, but instead, they have become a major burden for providers—leading to hours of administrative work, increased burnout, and reduced patient interaction.

Key Details:

• Auto-generates clinical notes, reducing manual documentation

• Seamlessly integrates with EMR systems, improving workflow efficiency

• Allows doctors to focus on patient care, minimizing administrative strain

Why It Matters

Healthcare providers spend two hours on documentation for every hour of patient care, leading to burnout and inefficiencies. AI-powered tools like Skriber reduce charting time by 70%, allowing doctors to spend more time with patients.

Source 👉: skriber.com

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Autonomous AI Agent Boosts Cancer Decision-Making with Multimodal Intelligence

Researchers at the National Center for Tumor Diseases have developed a cutting-edge AI system that combines GPT-4 with precision oncology tools — dramatically improving clinical decision-making in cancer care.

Key details:

• AI agent integrates GPT-4 with tools for pathology, imaging, and web search

• Achieved 91% clinical accuracy across 20 multimodal patient cases

• Outperformed GPT-4 alone (30.3%) with an 87.2% improvement using tool access

• Automatically cited guidelines with 75.5% accuracy and minimal hallucination

• Outperformed Llama-3 and Mixtral in tool-use reliability and reasoning depth

Why It Matters:
Oncology decisions often require combining genetics, imaging, and clinical context — a challenge even for specialists. This autonomous AI agent mimics expert workflows, pulling from real-time data and guidelines to deliver precise, personalized cancer care. It’s a major step toward trustworthy, tool-using AI assistants in hospitals.

Source 👉: https://www.nature.com/articles/s43018-025-00991-6

Which AI-Powered Ear Implant Rocks Your Health Vibe?

Picture AI-powered ear implants turning your ears into health-tracking superstars by 2030. Vote for the coolest!

Keep Reading

• Issue #51: Eye Gadgets, Blood Clots & Blink Battles

• Issue #49: HealthBench, Wearables & AI Diagnosis

Poll Results Are In: Which AI-Powered Eye Gadget Wins Your Wink?

From our latest AIHealthTech Insider poll...

🥇 It’s a 3-way tie!
With 16 out of 58 votes each (27.59%), these three futuristic eye gadgets blinked their way to the top:

• BlinkAlert: Flashes LED for UV exposure, sends hydration texts, and activates with a blink. It’s like a lifeguard for your eyeballs.

• Buster: Tracks blink fatigue, vibrates to remind you to hydrate, and syncs with your smartwatch. Basically, your eye’s personal trainer.

• VisionVortex: Detects screen stress, buzzes for breaks, and hums for hydration. It’s a wellness coach living inside your field of view.

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