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Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

February 1, 2026February 1, 2026
Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

January 31, 2026February 1, 2026
Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

January 31, 2026January 31, 2026
Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

January 31, 2026January 31, 2026
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Tag: Digital Twins

From ageing clocks to human digital twins in personalising healthcare through biological age analysis

From ageing clocks to human digital twins in personalising healthcare through biological age analysis

August 21, 2025August 22, 2025npj Digital Medicine

Age is the most important risk factor for the majority human diseases, leading to the exploration of innovative approaches, including the development of predictors to estimate biological age (BA). These predictors offer promising insights…

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Ryght AI Announces Partnership with Biorasi to Transform Feasibility Accuracy in Clinical Trials

Ryght AI Announces Partnership with Biorasi to Transform Feasibility Accuracy in Clinical Trials

August 15, 2025August 15, 2025HIT Consultant

What You Should Know:

– Ryght AI, a leading AI clinical trial developer, today announced a partnership with Biorasi, a global clinical research organization (CRO) specializing in dermatology, oncology, neurology, and nephrology studies.

– The collaboration will bring advanced,…

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Survey, taxonomy, and emerging paradigms of societal digital twins for public health preparedness

Survey, taxonomy, and emerging paradigms of societal digital twins for public health preparedness

August 13, 2025August 14, 2025npj Digital Medicine

The emergence of SARS-CoV-2 (COVID-19) has demonstrated the severe impact of infectious diseases on global society, politics, and economies. To mitigate future pandemics, preemptive measures for effectively managing infection outbreaks are essential. In this…

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Digital twins and Big AI: the future of truly individualised healthcare

Digital twins and Big AI: the future of truly individualised healthcare

August 1, 2025August 1, 2025npj Digital Medicine

The integration of physics-based digital twins with data-driven artificial intelligence—termed “Big AI”—can advance truly personalised medicine. While digital twins offer individual ‘healthcasts,’ accuracy and interpretability, and AI delivers speed and flexibility, each has limitations….

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Physics-informed machine learning digital twin for reconstructing prostate cancer tumor growth via PSA tests

Physics-informed machine learning digital twin for reconstructing prostate cancer tumor growth via PSA tests

July 30, 2025July 30, 2025npj Digital Medicine

Existing prostate cancer monitoring methods, reliant on prostate-specific antigen (PSA) measurements in blood tests often fail to detect tumor growth. We develop a computational framework to reconstruct tumor growth from the PSA integrating physics-based…

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A consensus statement on the use of digital twins in medicine

A consensus statement on the use of digital twins in medicine

July 28, 2025July 29, 2025npj Digital Medicine

Digital Health Technologies represent a marked shift from current medical technologies in use, the approach to health and healthcare and stakeholders engaged in healthcare delivery. What the digitalized future of medicine will look like…

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Large language models-enabled digital twins for precision medicine in rare gynecological tumors

Large language models-enabled digital twins for precision medicine in rare gynecological tumors

July 9, 2025July 9, 2025npj Digital Medicine

Rare gynecological tumors (RGTs) present major clinical challenges due to their low incidence and heterogeneity. The lack of clear guidelines leads to suboptimal management and poor prognosis. Molecular tumor boards accelerate access to effective…

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A health digital twin framework for discrete event simulation based optimised critical care workflows

A health digital twin framework for discrete event simulation based optimised critical care workflows

June 19, 2025June 20, 2025npj Digital Medicine

Digital twins have been used in industries and is now gaining traction in healthcare, particularly in precision medicine. Discrete Event Simulation is a modelling methodology for simulating processes and workflows in healthcare. This paper…

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Digital twins enable stratification of persistent atrial fibrillation patients for ablation diminishing unnecessary heart damage

Digital twins enable stratification of persistent atrial fibrillation patients for ablation diminishing unnecessary heart damage

May 7, 2025npj Digital Medicine

Pulmonary vein isolation (PVI), the standard-of-care for atrial fibrillation (AF), is effective even in some persistent AF (PsAF) patients despite atrial fibrosis proliferation, suggesting that PVI could not only be isolating triggers but diminishing…

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MRI-based digital twins to improve treatment response of breast cancer by optimizing neoadjuvant chemotherapy regimens

MRI-based digital twins to improve treatment response of breast cancer by optimizing neoadjuvant chemotherapy regimens

April 7, 2025npj Digital Medicine

We developed a practical framework to construct digital twins for predicting and optimizing triple-negative breast cancer (TNBC) response to neoadjuvant chemotherapy (NAC). This study employed 105 TNBC patients from the ARTEMIS trial (NCT02276443, registered…

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In 10 years the electronic medical record will be the minor player, in terms of where a person’s health history lives. Most of that information will be kept on the phone or in a secure cloud, and the patient will be highly engaged with collecting, curating and sharing that data. Most doctor visits will be like calling up a YouTube meets virtual human docs and there will also be an aspect of virtual reality.

Leslie Saxon

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