AI-driven multi-omics modeling of myalgic encephalomyelitis/chronic fatigue syndrome - Nature Medicine Analysis of a deeply phenotyped, longitudinal cohort of 249 participants elucidates the network of concurrent molecular and macroscopic patterns related to insurgence and course of ME/CFS.

Analysis of a deeply phenotyped, longitudinal cohort of 249 participants elucidates the network of concurrent molecular and macroscopic patterns related to insurgence and course of ME/CFS

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AI-driven multi-omics modeling of myalgic encephalomyelitis/chronic fatigue syndrome - Nature Medicine Analysis of a deeply phenotyped, longitudinal cohort of 249 participants elucidates the network of concurrent molecular and macroscopic patterns related to insurgence and course of ME/CFS.

Multi-omics with A.I. analytics demonstrates critical role of the gut microbiome and immune response and enables accurate diagnosis of ME/CFS, may also be applicable to Long Covid.
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Agentic A.I. to predict body-wide and organ specific biological aging with associated health outcomes
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Large language model-based biological age prediction in large-scale populations - Nature Medicine Using data from six population-scale cohorts involving more than 10 million individuals, a large language model-based aging signature is shown to outperform traditional aging biomarker indices and sig...

Using data from six population-scale cohorts involving more than ten million individuals, a large language model-based aging signature is shown to outperform traditional aging biomarker indices and signatures in predicting multiple health outcomes

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Real-world deployment of a fine-tuned pathology foundation model for lung cancer biomarker detection - Nature Medicine In a silent trial involving 197 patients with lung cancer over a span of 4 months, a fine-tuned pathology foundation model was able to identify the presence of EGFR mutations with high accuracy, poten...

In a silent trial involving 197 lung cancer patients over the span of four months, a pathology foundation model was able to identify presence of EGFR mutations with high accuracy, potentially preventing further genetic testing in 43% of cases

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Efficacy, public health impact and optimal use of the Takeda dengue vaccine - Nature Medicine Using mathematical models calibrated to clinical trial results on vaccine efficacy, this study projects the potential impact of the vaccine at population level, showing the conditions for it to be eff...

Using mathematical models calibrated to clinical trial results on vaccine efficacy, this study projects the potential impact of the vaccine at population level, helping to design vaccination campaigns @imperialcollegeldn.bsky.social

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An adaptive AI-based virtual reality sports system for adolescents with excess body weight: a randomized controlled trial - Nature Medicine A reinforcement learning-based virtual reality system, implementing a series of sport sessions with coaching, was as effective as standard physical activity in reducing fat mass in adolescents, with p...

A reinforcement learning-based virtual reality system, implementing a series of sport sessions with coaching, was as effective as standard physical activity in reducing fat mass in adolescents, with positive effects on cognition.

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Incorporating genetic data improves target trial emulations and informs the use of polygenic scores in randomized controlled trial design Nature Genetics - This study integrates polygenic risk scores with four emulated clinical trials using FinnGen data and shows the feasibility of this approach while highlighting potential pitfalls.

Can we use genetics to make real-world evidence more like randomized trials and improve trial design in the process?

In our latest paper, we emulate 4 cardiometabolic RCTs in
FinnGen and test how polygenic scores can improve trial emulation

rdcu.be/eryti

Applications close this Friday, 20th June.

A multimodal vision foundation model for clinical dermatology - Nature Medicine Trained on large and multicenter datasets with different imaging modalities, a foundation model is shown to have strong performance on the full spectrum of clinically relevant tasks and to increase us...

Trained on large and multicenter datasets with different imaging modalities, a foundation model is shown to have strong performance on the full spectrum of clinically relevant tasks and to increase user accuracy in diagnostic tasks

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Thanks Adam!

Starting this week I am formally employed as Senior Editor for Nature Health, a new journal dedicated to population health and all aspects of real word implementation of health preservation policies - feel free to reach out if you have questions about the journal!

The first generative AI drug to get to a Phase 2 randomized clinical trial. The small molecule in pill form, rentosertib, showed signs of efficacy for idiopathic pulmonary fibrosis @naturemedicine.bsky.social
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Associate or Senior Editor, Nature Medicine, Digital Medicine and Artificial Intelligence  Job Title: Associate or a Senior, Nature Medicine (Digital Medicine and Artificial Intelligence) Location: New York or Milan (Hybrid Working) Application Deadline: May 30, 2025 About Springer Nature G...

📣 #NatureMedicine is hiring a new editor with expertise in #AI, #DigitalMedicine and/or Health #Informatics! This job is open to applicants in NYC 🗽and Milano 🎭! Deadline is Fri, May 30th. Please share!
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cc: @natureportfolio.nature.com

On the conversational persuasiveness of GPT-4 - Nature Human Behaviour Salvi et al. find that GPT-4 outperforms humans in debates when given basic sociodemographic data. With personalization, GPT-4 had 81.2% higher odds of post-debate agreement than humans.

This new paper finds that GPT-4 outperforms humans in debates when prompted with basic sociodemographic data.
@frasalvi.bsky.social @manoelhortaribeiro.bsky.social @ricgallotti.bsky.social
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Associate or Senior Editor, Nature Medicine, Digital Medicine and Artificial Intelligence  Job Title: Associate or a Senior, Nature Medicine (Digital Medicine and Artificial Intelligence) Location: New York or Milan (Hybrid Working) Application Deadline: May 30, 2025 About Springer Nature G...

I will soon be transitioning to a new position, so Nature Medicine is now looking for a new medical AI editor! Please let me know if you have any questions about what the position entails. Feel free to disseminate!

springernature.wd3.myworkdayjobs.com/SpringerNatu...

Sociodemographic biases in medical decision making by large language models - Nature Medicine A panel of nine LLMs was exposed to simulated clinical cases with switched sociodemographic features exploring ethnic, social, sexual orientation and gender dimensions and showed differences in recomm...

A panel of 9 LLMs was exposed to simulated clinical cases with switched sociodemographic features exploring various dimensions and showed differences in recommendations for patient treatment, referral and follow-up @girishnadkarni.bsky.social

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Two early studies reveal capabilities and shortcomings of Deepseek in clinical uses, with evaluation on pre-existing benchmark data

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Clinical implementation of AI-based screening for risk for opioid use disorder in hospitalized adults - Nature Medicine In a quasi-experimental, pre–post-implementation study involving 51,760 hospitalizations, an electronic health record-based risk prediction model informed clinicians of patients needing consultation o...

In an implementation study involving 51,760 hospitalizations, an EHR-based risk prediction model informed clinicians of patients needing consultation on Opioid Use Disorder and decreased readmissions to the hospital @majeans2011.bsky.social

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Real-time surveillance system for patient deterioration: a pragmatic cluster-randomized controlled trial - Nature Medicine In a large pragmatic cluster-randomized trial involving 74 clinical units in 2 health systems in the United States, a real-time alert system assisting clinical care teams in identifying patients at ri...

In a large pragmatic cluster-randomized trial involving 74 sites in 2 health systems in the US, a real-time alert system assisting nurses in identifying patients at risk of deterioration decreased mortality risk by 35.6%, with positive effects also on length of stay

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Our study ‘The #global #human impact on #biodiversity’ is out in @nature.com: www.nature.com/articles/s41...

🌍🌐🐟🌿🪲

Unprecedented synthesis of >2000 studies led by @francoiskeck.bsky.social shows humans are not only shrinking species numbers—but reshaping entire communities across the planet.
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Making large language models into reliable physician assistants - Nature Medicine A randomized study highlights the potential of large language models to assist clinicians in patient care; future research should harness our understanding of the cognitive processes underlying clinic...

A commentary on our recently published trial on LLM assistance to physicians highlights challenges in translating these tools into actual clinical use
@naturemedicine.bsky.social

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Excited to share our new paper in @natmedicine.bsky.social! Prematurity is the #1 cause of death in kids under 5. We show that AI can do more than predict outcomes — it can guide critical treatment decisions to improve outcomes. Press release: med.stanford.edu/news/all-new...

AI-guided precision parenteral nutrition for neonatal intensive care units - Nature Medicine An artificial intelligence model defines a data-driven set of total parenteral nutrition compositions to assist clinicians in personalized treatment of neonates in intensive care and is able to adapt ...

An AI model defines a data-driven set of Total Parenteral Nutrition compositions to assist clinicians in personalized treatment of neonates in intensive care, with validation from large external cohorts and a blinded reader study

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Risdiplam for Prenatal Therapy of Spinal Muscular Atrophy | NEJM The alternate splicing small molecule risdiplam, administered to a fetus with spinal muscular atrophy, had an apparent ameliorating effect on the disorder through 30 months.

Incredible story -- in utero treatment (an oral gene-targeting drug) for Spinal Muscular Atrophy; the child is now almost 3 and has no signs of disease! www.nejm.org/doi/full/10....

A randomized, controlled trial of telemedicine management of atrial fibrillation (AF) in rural regions showed a marked reduction of the composite of cardiovascular death, stroke, heart failure, hospitalization and AF related ER visits
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A randomized trial of tailored A.I.-guided ablation of atrial fibrillation vs standard-of-care, anatomical ablation demonstrated superiority of AI guidance
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Artificial intelligence for individualized treatment of persistent atrial fibrillation: a randomized controlled trial - Nature Medicine In a randomized controlled trial in individuals with persistent atrial fibrillation, an individualized ablation procedure, in which areas with abnormal electrophysiological characteristics—as detected...

In a randomized controlled trial in individuals with persistent atrial fibrillation, an individualized ablation procedure informed by AI led to improved efficacy for reducing arrhythmia recurrence at 12 months following the ablation procedure

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Pandemic monitoring with global aircraft-based wastewater surveillance networks - Nature Medicine By simulating the implementation of airport-based wastewater surveillance sites at the global level, a modeling study shows how this early warning system would perform in identifying sources of pandem...

Wastewater from airplane toilets?
We introduce a global Aircraft-Based Wastewater Surveillance Network (WWSN) for pandemic monitoring in Nature Medicine 🔗 doi.org/10.1038/s415...

Aircraft-based wastewater surveillance allows for real-time, non-invasive monitoring of global pathogen spread
Short 🧵

Thinking globally for pandemic early warning systems - Nature Medicine A modeling study highlights the benefits of a global aircraft-based wastewater surveillance network, but the best early warning system is likely to involve a combination of methodologies within an int...

News and Views piece by Raina McIntyre

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