AWS describes an end-to-end mortgage document intake pipeline that uses the GAIIC IDP Accelerator to classify and extract documents and Amazon Quick Automate to route validated data into downstream systems. The example mid-size lender processing about 50,000 loans per year cuts document processing time from 15–20 minutes per file to under 6 minutes per file. As a result, document handling scales without temporary staffing and the pipeline extends across other loan types while reducing manual keying errors and rework.
Moderna and Merck said their tailored mRNA cancer vaccine worked in a Phase 3 melanoma trial. The trial enrolled 1,137 patients with stage IIB–IV melanoma, randomly assigned 2-to-1 to vaccine plus Keytruda versus Keytruda alone. This result changes the outlook for individualized mRNA cancer vaccines by providing a reported first Phase 3 success and moving them closer to broader cancer therapy use.
Google’s Pixel Watch 5 adds mostly software updates, but its key health features are not available yet. The story says the most interesting new features—blood pressure and insulin resistance trends—are missing. As a result, reviewers can’t test the main additions tied to the overhauled Google Health app and its AI coach until they ship.
Vivodyne, a biotech startup, argues that AI drug-discovery models lack causal biological data from human tissue and built HIVE robotic labs to generate it autonomously. The company has raised under $80 million, opened a facility near San Francisco achieving twice the throughput of all US animal trials, and claims its tissues match human organ behavior at 94-100% accuracy depending on tissue type. Better human tissue data could improve AI models' ability to predict drug efficacy before costly clinical trials, where 90% of animal-tested drugs currently fail to gain regulatory approval.
Aisel Health, a Danish psychiatry-focused software company, raised €1.7 million to build an operating system that organizes patient information for clinicians rather than simply generating more documentation like AI scribes do. The company's research found psychiatrists spend only 40% of their time with patients, the rest on documentation and information gathering. By surfacing relevant clinical history before appointments and automating administrative tasks, Aisel aims to reduce clinician burden and shorten psychiatric care waiting lists.
UK edtech startup Medly AI raised $8 million in seed funding to expand its AI-powered exam tutoring platform across the UK and internationally. The platform, launched in February 2025, has already reached over 400,000 UK users and uses a combination of seven large language models with neuroscience-informed approaches to provide personalized feedback on practice questions and adaptive learning support. The company plans to use the funding to grow its UK student base, expand internationally with SAT preparation in the US, and develop proprietary AI models for marking and pedagogy to make personalized tutoring more accessible to students regardless of financial means.
Aisel Health, a Copenhagen-based startup, raised €1.7 million in pre-seed funding to build a clinical operating system for psychiatry that focuses on retrieving patient information rather than just speeding up note-taking. The company, founded in 2024 by Augusta Klingsten Peytz and Christian Houen, will use the funds to expand into the UK before a seed round. The mental health technology market is projected to reach $10.08 billion by 2025 and grow at 18.7% annually, with Aisel differentiating itself by addressing psychiatrists' inability to efficiently access historical patient data during consultations.
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