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Let’s use AI to fight rare diseases - Diario Sanitario

Translated title. Original: Usemos la IA para plantar cara a las enfermedades raras - Diario Sanitario

The article describes how AI tools may speed up rare-disease diagnosis and help patients and doctors interpret medical and genetic information. It cites services developed by Fundación 29, including one used by Madrid primary-care doctors to cut diagnostic waits from months to minutes.

Emerging applications of machine learning and AI for predictive modeling in precision medicine | npj Digital Medicine

The collection argues that medical AI is maturing into a clinical science, emphasizing interpretable, domain-informed models, portable video diagnostics, lightweight signal devices, multimodal wearable data, and equity at scale as central goals.

AI and the rewriting of the human body bring together European experts in Bellver Blue Tech Zone

Translated title. Original: La IA y la reescritura del cuerpo humano reúnen a expertos europeos en Bellver Blue Tech Zone

AI is accelerating aging research and preventive healthcare, with the Vertex Summit in Bellver showcasing AI-driven clinic design that embeds preventive care from the ground up; participants argue for integrating AI into health systems from inception to speed up prevention and early detection.

MEASURE it to CURE it: AI Powered Clinical Innovation

An MIT-led project merges clinical insight, AI, and patient input to create an AI engine that links measurement devices to public health data, aiming to deploy objective, point-of-care tests for invisible illnesses. It uses a medical ontology to connect questions with conditions, devices, and locations, and includes CAPRIO as a flagship study to validate nailfold capillaroscopy data.

Scientists develop ChatGPT-like AI that predicts stroke risk from DNA | Euronews

Translated title. Original: Bilim insanları DNA'dan inme riskini öngören ChatGPT benzeri yapay zekâ geliştirdi | Euronews

A Sydney Tech University team built a transformer-based AI model that analyzes DNA to predict ischemic stroke risk, identifying 18 relevant genetic variants and key genes like EDEM2 and KANK2. Tested on datasets exceeding 40,000 people, the model stratifies risk and suggests multimodal data integration to improve personalized prevention.

5 advances in AI that could change how we take care of ourselves

Translated title. Original: 5 avances de la IA que pueden cambiar cómo nos cuidamos

AI is increasingly used in healthcare to aid early detection, risk prediction, personalized treatment, chronic disease monitoring, and overall efficiency; a 2026 study in Argentina shows strong clinician support, but experts caution about data privacy, biases, and the need for clinical validation and supervision.

AI Analysis of Pathology Slides Shows Promise for Guiding Lung Cancer Biomarker Testing | Clinical Lab Products

A Tempus-led study of 60,459 advanced NSCLC cases shows an AI-enabled pre-screening panel analyzes routine H&E slides to predict 12 biomarkers with >80% sensitivity, aiding lab prioritization of tests and tissue conservation while guiding diagnostic sequencing; broader AI biomarker tools are in development to support precision medicine.

PacBio and Verily Health Announce Multi-Year Strategic Collaboration to Scale Long-Read Genomics for Biomedical AI - PacBio

PacBio and Verily Health announce a multi-year collaboration to connect HiFi sequencing with Verily Pre, enabling AI-ready, governed clinico-genomic datasets at population scale and supporting large-scale multimodal research and AI development in health.

New system performs better than doctors in complex diagnoses – according to study - Tyrone's info

Translated title. Original: Nytt system presterar bättre än läkare i komplexa diagnoser – enligt studie - Tyrone's info

A Microsoft-developed diagnostic system, highlighted in a Science study, outperforms general practitioners on difficult medical cases, with gains mainly from underlying models. The work points to potential clinical support roles and aspirational aims for medical superintelligence, while emphasizing that human expertise remains essential.

This AI-powered microscope the size of a pen could help doctors detect cancer earlier - Science and Life

Translated title. Original: Ce microscope à intelligence artificielle de la taille d'un stylo pourrait aider les médecins à détecter le cancer plus tôt - Science et vie

AI-powered, pen-sized microscope PrecisionView, developed by Rice University with MD Anderson, expands tissue observation and detected a precancerous lesion in cervical samples. While promising for targeted biopsies, it requires more clinical testing and faces technical challenges like real-time image cleaning, motion blur, and in-body validation.