A model developed with data from 19,403 patients with colorectal cancer for prediction of one-year mortality is used as a decision support tool in a prospective cohort, showing promising results in reducing post-operative complications www.nature.com/articles/s41...

It is one of my favourite conferences, so I could not miss it! I will be attending #Epidemics10 this year in San Diego for Nature Health - please let me know if you are attending and would like to meet at the conference to chat!

By matching antigenicity prediction with a forecast of circulating strains in the next season, a model is shown to outperform standard recommendations for vaccine design in terms of vaccine effectiveness and disease burden www.nature.com/articles/s41...

Training and validated on multimodal data from 14.5 million images from multi-country datasets, a foundation model is shown to increase diagnostic and referral accuracy of clinicians when used as an assistant in a trial involving 16 ophthalmologists and 668 patients www.nature.com/articles/s41...

Going from model development to a pilot implementation study, a deep learning model shows acute aortic syndrome can be diagnosed directly from non-contrast CT, increasing accuracy and decreasing time to diagnosis www.nature.com/articles/s41...

Using large cohorts from published clinical trials involving more than 8,000 patients, a probabilistic machine learning model shows patterns that suggest how progression to severe stages occur and potential inversion of the process www.nature.com/articles/s41...

Nature research paper: Countrywide natural experiment links built environment to physical activity go.nature.com/46W2lFl

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 www.nature.com/articles/s41...

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. www.nature.com/articles/s41... www.ft.com/content/9cdf...

Agentic A.I. to predict body-wide and organ specific biological aging with associated health outcomes www.nature.com/articles/s41...

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 www.nature.com/articles/s41...

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 www.nature.com/articles/s41...

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 www.nature.com/articles/s41...

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. www.nature.com/articles/s41...

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.

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 www.nature.com/articles/s41...

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 www.nature.com/articles/s41...

📣 #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! springernature.wd3.myworkdayjobs.com/SpringerNatu... cc: @natureportfolio.nature.com

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 www.nature.com/articles/s41...

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...

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 www.nature.com/articles/s41...

Two early studies reveal capabilities and shortcomings of Deepseek in clinical uses, with evaluation on pre-existing benchmark data www.nature.com/articles/s41... www.nature.com/articles/s41...

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 www.nature.com/articles/s41...

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 www.nature.com/articles/s41...

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. 🧵1/5

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 www.nature.com/articles/s41...

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...

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 www.nature.com/articles/s41...

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 www.nature.com/articles/s41...

A randomized trial of tailored A.I.-guided ablation of atrial fibrillation vs standard-of-care, anatomical ablation demonstrated superiority of AI guidance www.nature.com/articles/s41...

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 www.nature.com/articles/s41...

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 🧵

By simulating the implementation of airport-based wastewater surveillance sites at global level, a modelling study shows how this early warning system would perform in identifying sources of pandemic outbreaks @gstonge.bsky.social @alexvespi.bsky.social www.nature.com/articles/s41...

In a large-scale analysis of ambulatory electrocardiographic recordings, a deep learning algorithm had a substantially higher sensitivity for detection of critical arrhythmias as compared to technicians www.nature.com/articles/s41...

A randomized trial of GPT-4 vs 92 physicians with or without this #AI LLM for performance on patient care tasks. AI improved physician performance, on par with AI alone (based on 5 clinical vignettes) nature.com/articles/s41...

In a prospective study involving 92 physicians from multiple institutions, access to large language model assistance on top of conventional resources increased the quality of patient care reasoning @jonc101.bsky.social @adamrodmanmd.bsky.social @ethangoh.bsky.social www.nature.com/articles/s41...

An individual-based mathematical model to evaluate the public health benefits of RSVpreF vaccination uncovered that vaccinating older adults and pregnant women can substantially reduce RSV-related hospitalizations and deaths www.nature.com/articles/s41...

Trained on a large corpus of medical text and patient records and tested across diseases, an open source medical language model demonstrates higher accuracy than commercial counterparts and improves accuracy of clinicians in a reader study www.nature.com/articles/s41...

With an improved framework for model development and evaluation, a large language model is shown to provide answers to medical questions that are comparable or preferred with respect to those by human physicians www.nature.com/articles/s41...

Large language models can be manipulated to generate misinformation by poisoning of a very small percentage of the data on which they are trained, but a mitigation strategy can offer a method for addressing this vulnerability www.nature.com/articles/s41...

A generalist #AI medical LLM model that improves accuracy of physician diagnosis across 8 specialities for common and rare diseases nature.com/articles/s41...

Also NEW in #NatureMedicine! We have a LOT of cool content, including several #oncology papers, just published. Bookmark our research landing page (www.nature.com/nm/research-...) and follow our editors to get the latest! @ulrikeharjes.bsky.social @lorenzorighetto.bsky.social #OncSky #AI

Using multiple data sets, a machine learning model using routine blood and clinical data is shown to be predictive of patient response to immune checkpoint inhibitor therapy, across cancer types and outperforming standard biomarkers www.nature.com/articles/s41...

By simulating realistic patient-doctor conversations, a framework can be applied to LLMs to investigate shortcomings and bias in patient interactions, providing insight prior to actual clinical deployment @roxanadaneshjou.bsky.social @sjohri20.bsky.social www.nature.com/articles/s41...

In a comprehensive dataset from 3,652 patients across 20 centres in eight countries, an ultrasound-based AI model is shown to reduce referral to experts by 63% in a triage simulation. @karolinskainst.bsky.social @kthuniversity.bsky.social @scilifelab.se www.nature.com/articles/s41...

Lots of digital and AI-based interventions in the "Eleven trials to watch in 2025" in Nature Medicine - from cervical cancer screening to autism and mental health support www.nature.com/articles/s41...