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The Verge's Victoria Song spends 100 days using Twin Health's AI-powered digital twin, which learns from her metabolic, glucose, and body-composition data to give color-coded food and lifestyle recommendations — a low-stakes early look at personalized medicine via digital twins.
AI is transforming both ends of cancer care: Recursion's REC-617 became the first AI-designed drug to shrink tumors in a patient within 12 months, AI-assisted mammography found 30% more cancers in a 100k-person Swedish trial, and AlphaFold uncovered a hidden cell-transport switch (AVL9) that turns out to be an off-switch for cancer metastasis. Yet no AI-designed cancer drug is approved, and the historic 90% clinical trial failure rate remains unbroken.
Personal Medical Analyst is an AI agent that helps users interpret symptoms, lab results, and medications, providing personalized guidance and source-backed reasoning based on their health history.
A causal multi-modal AI model predicts personalized chemosensitivity for breast cancer using pathology and clinical data, outperforming existing tests and potentially reducing chemotherapy use by 30%.
Bryan Johnson introduces Immortals Concierge, an elite medical service offering personalized health protocols and advanced diagnostics for longevity at a premium annual fee.
This essay argues that slow and costly U.S. clinical trials—not scientific limitations—are now the biggest obstacle to curing cancer and deploying AI-driven personalized therapies, urging regulatory reform as China and Australia outpace American drug development.
RonanRx offers personalized GLP-1 treatments with physician oversight and compounding pharmacies, focusing on tailored dosing and support for side effects.
Moderna and Merck's Phase 3 trial of an mRNA cancer vaccine, personalized using AI algorithms, shows promising results for melanoma treatment, with Elon Musk praising mRNA's potential despite past controversies.
Moderna and Merck's mRNA-4157 vaccine uses a cloud-based AI pipeline to create personalized cancer treatments, reducing recurrence risk by 49%. The FDA treats the AI software as part of the drug, marking a significant integration of technology in oncology.
The article discusses the advancement of therapeutic cancer vaccines using personalized mRNA technology, highlighting recent positive Phase 3 results for melanoma and ongoing trials for other cancers, with potential approvals expected by 2027.
The paper introduces PAFIR, an adaptive feature selection framework using reinforcement learning for personalized fall risk prevention from longitudinal multimodal health data, demonstrating improved effectiveness over baseline methods.
Moderna and Merck announced positive Phase 3 results for their personalized cancer vaccine, which reduced melanoma recurrence, causing Moderna stock to surge by over 110%.
Scientists have developed an AI platform called CenSegNet to analyze centrosomes in breast cancer tumours, uncovering new patterns that can predict cancer progression and lead to personalized treatments.
The article notes that recovery science, including rehabilitation tech and personalized medicine, is advancing rapidly but public awareness lags, leading to misunderstandings.
This paper introduces a stochastic causal representation learning framework to resolve the bias-precision paradox in personalized medicine, demonstrating improved accuracy and interpretability in ICU clinical decision support.
GitLab co-founder Sid Sijbrandij open-sourced 25 TB of multi-omic tumor data and used ChatGPT-driven agents to design custom therapies, including a FAP-targeted radioligand and an mRNA vaccine, for his relapsed osteosarcoma.