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Advancing cancer detection and treatment using longitudinal routine clinical data

Liu et al. develop Oncoformer, a multimodal transformer that reads routine laboratory tests and chest X-rays already collected in everyday care. Across more than 3.6 million individuals, it detects cancer, infers tumor stage, and stratifies treatment response and recurrence risk, pointing toward risk-adapted cancer care built on data already in hand.
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A global digital navigator of human health for precision medicine

Nature Medicine, Published online: 11 September 2026; doi:10.1038/s41591-026-04621-1

The International Consortium of Digital Twins in Healthcare and Medicine was established to advance medical digital twin technology as a new infrastructure for precision health.
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PRET is a few-shot system for pan-cancer recognition without example training

Nature Cancer, Published online: 03 April 2026; doi:10.1038/s43018-026-01141-2

Li et al. present PRET, a few-shot system for pan-cancer detection not requiring model fine-tuning, validated it in multicenter datasets and found that it outperformed existing approaches across tasks and pathologists in lymph node metastasis detection.
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A GPX1-OSBPL8 axis mediates noncanonical in vivo ferroptosis and cancer growth suppression

An in vivo, noncanonical ferroptosis pathway, critical for tumor supression, is driven by reactive oxygen species-induced phosphatidic acid peroxidation at the ER under the control of the GPX1-OSBPL8 signaling axis.
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Associations Between Short-Video Platform Use and Health Across Health Distribution and Usage Behaviors in China: Cross-Sectional Questionnaire Study

Background: Short-video platforms, characterized by algorithmic curation and passive consumption, have emerged as dominant components of digital life. However, the associations between short-video platform use and health across different groups and usage behaviors remain understudied. Objective: This study investigates associations between short-video platform use and health, examining whether these relationships vary across health status, usage behaviors, and socioeconomic status. Methods: A cross-sectional study was conducted using multistage stratified sampling across eastern, central, and western China from July to September 2024. The inclusion criteria were age 18 years or older, ability to communicate effectively, and no cognitive disorders or mental disturbance. Of 7725 participants enrolled, 46.96% (n=3628) were male, and the average age was 65.49 (SD 8.39) years. The data were collected via face-to-face interviews using a structured questionnaire. Self-rated health and relative health deprivation (Kakwani index) were used to measure health. Quantile regression explored associations between whether using short-video platform and health varies across the health distribution, while linear regression examined associations of years, frequency, daily duration, and purpose diversity of short-video platform use with health. Moderating effect analysis explored the role of socioeconomic status in the relationship between the daily duration of use and health. Results: Coefficients were tested using 2-tailed tests, and statistical significance was defined as a 2-sided value less than .05. Quantile regression revealed heterogeneous associations. Compared to nonusers, short-video platform users had better self-rated health at the 70th to 90th quantiles and lower relative health deprivation at the 10th to 30th quantiles. However, the users at the 10th quantile of self-rated health had worse self-rated health (=−2.224, 95% CI −3.835 to −0.613). Longer engagement (≥3 y) correlated with lower relative health deprivation (=1.970, 95% CI 0.308-3.632), while daily use of 1‐4 hours was associated with poorer self-rated health (=−3.385, 95% CI −4.872 to −1.898; =−3.038, 95% CI −5.054 to −1.022) and higher relative health deprivation (=0.035, 95% CI 0.021-0.050;
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