Article digest · Oct 10 AM

AI in Medicine — what each story says

Every story in this issue with a short summary, so you can decide what to read before leaving the site. Summaries are written by AI (Claude) only from each publisher's own description and checked by Jev for anything not in that description. They are not full translations. Follow "Read the original" for the full story.

26 stories12 with summaries8 topics

🩻 Diagnosis and imaging3

Clinical Lab Products10/09 15:43 UTC

Aiforia and PathAI Partner to Expand Access to Digital Pathology AI Tools

Aiforia and PathAI will integrate Aiforia’s AI pathology models into the AISight Dx platform. The integration is meant to expand access to digital pathology tools in the US and Europe.

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Bioengineer.org10/09 13:58 UTC

AI Turns Ordinary Ultrasound Into a Lung Cancer Spotter, Rivaling Expert Radiologists

A two-stage deep learning framework can automatically segment subpleural lung lesions on grayscale ultrasound. It distinguishes benign from malignant cases and significantly improves diagnostic accuracy.

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🩺 Clinical decision support3

Bioengineer.org10/09 11:48 UTC

AI Fuses Scans and Radiation Doses to Predict a Deadly Head and Neck Cancer Complication

Researchers in China have built a deep-learning model that fuses CT, MRI, and 3D radiation dose data. The model predicts which nasopharyngeal carcinoma patients will develop life-threatening tissue necrosis.

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📝 Generative AI, documentation and records3

🏥 Hospital operations and care delivery4

Korea IT Times10/08 22:40 UTC

[Insight] From Approvals to Recurring Revenue…Medical AI Valuations Are Changing

Capital markets are changing how they assess South Korean medical AI companies. A few years ago, overseas regulatory milestones such as U.S. FDA authorizations and European CE marking, along with supply contracts with major hospitals, were considered key drivers of share prices.

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💊 Drug discovery and clinical trials5

Nature10/09 09:47 UTC

TechBio 3.0 closes the drug discovery loop with multimodal AI and generative chemistry

The authors define TechBio 3.0 as an emerging paradigm for closed-loop drug discovery that connects multimodal molecular representations, generative chemistry, and automated experimentation. They examine early preclinical and clinical evidence and identify remaining technical and translational barriers.

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Contract Pharma10/09 14:22 UTC

Lonza, Onava Strike AI Biologics Pact to Speed Drug Discovery

Lonza has entered a collaboration with biotechnology startup Onava. The aim is to accelerate the development of AI-designed biologic drugs.

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Jersey Digs10/09 15:27 UTC

A $308K Biotech Job, AI Jewelry Design and More: Who’s Hiring in NJ This Week

The listings include jobs designing jewelry with AI, launching a professional soccer team and managing a 100-unit affordable housing community in Newark. All can be applied for in New Jersey this week.

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Bioengineer.org10/09 13:07 UTC

AI Chemists Learn Where to Break Molecules: Active Learning Steers Drug Discovery Reactions

Researchers at ETH Zurich and Roche combined active learning with geometric and self-supervised deep learning. The approach predicts C–H borylation regioselectivity in drug-like molecules.

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⚖️ Device approvals and regulation2

TradingView10/09 12:51 UTC

Should You Buy, Hold or Sell Tempus AI Stock Amid AI Boom?

The AI in healthcare market is projected to grow $39.93 billion at a CAGR of 34% from 2025 to 2030, driven by the proliferation of big data and the increasing complexity of healthcare datasets.

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🔬 Research results (major journals)4

Nature10/09 10:26 UTC

AI-assisted scoping review of code sharing in clinical prediction model research

An analysis of code availability in the open-access published literature shows that code sharing in clinical prediction models remains limited. It also reveals significant variability in practices and documentation quality.

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🇯🇵 Medicine and AI in Japan2

Vietnam.vn10/09 09:55 UTCJapanese

Trial of AI chatbot to support doctors: effective in 75% of cases

A clinical trial in the United States showed that an AI chatbot can assist doctors during consultations. It can give information on symptoms and possible diagnoses before patients meet a medical professional in person. Experts stress that the technology cannot yet fully replace doctors' roles and still requires close supervision.

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PR TIMES10/09 02:00 UTCJapanese

Kanazawa Medical University Hospital begins full use of Ubie generative AI in its electronic medical record environment

Ubie Inc. issued a press release on October 9, 2026, at 11:00. It announced that Kanazawa Medical University Hospital has begun full use of Ubie generative AI in its electronic medical record environment.

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The analysis and visual summary are in the Oct 10 AM issue. Japanese version here.