📡 Frontiers

Google DeepMind and Isomorphic Labs' AlphaFold3 now predicts structures for nearly all biological molecules, transforming protein design pipelines across pharma. The era of AI-native drug discovery is accelerating.

Patient-specific computational models — "digital twins" — are moving from research labs into hospital pilot programs, with early applications in oncology treatment planning and cardiovascular surgery simulation.

Testing a new continuous glucose monitor + AI dietary recommendation system: real-time blood sugar response to different foods, visualized.

Completed a hands-on review of 5 AI mental health tools: chatbot-based CBT apps, mood trackers, and AI therapy companions. The gap between marketing and clinical rigor remains wide.

Large language models show meaningful improvements in clinical decision support accuracy across multiple studies, yet liability and regulatory frameworks for AI-assisted diagnosis remain unresolved.

Cuffless blood pressure monitoring continues steady progress — optical sensors with AI calibration approach validation milestones, though medical-grade accuracy remains the final hurdle.

Prescription digital therapeutics gain traction: Pear Therapeutics, Akili, and others have pioneered FDA-cleared software treatments for mental health and chronic conditions, with expanding insurance coverage.

Finished reading The Digital Doctor, Chapter 6 — when treatment advice comes from algorithms, how is doctor-patient trust rebuilt? No standard answer, but generative medical narratives are reshaping human connection.

Tried a cuffless blood pressure monitoring prototype: photoplethysmography + AI calibration, consumer devices approaching clinical grade. The biggest challenge is helping users distinguish "physiological fluctuation" from "abnormal values."

Launched the #DigitalSabbath minimalist experiment: 24 hours disconnected from smart devices, tracking time perception and emotional biomarkers with traditional notes. Initial thought — digital withdrawal reactions are more "biological" than expected.

New open-source tool recommendation: Personal Knowledge Graph + biometric correlation analysis — what emerges when your note system can link heart rate fluctuations to creative productivity?